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ORCIDCoRR, October 2024
- Zahra Asadi, Joshua Pardillo Castillo, Mehrdad Asadi, David S. Sinclair, Marta Kersten-Oertel:
iSurgARy: A mobile augmented reality solution for ventriculostomy in resource-limited settings. - Hua Yan, Heng Tan, Yi Ding, Pengfei Zhou, Vinod Namboodiri, Yu Yang:
Language-centered Human Activity Recognition. - Gentiana Rashiti, Geethan Karunaratne, Mrinmaya Sachan, Abu Sebastian, Abbas Rahimi:
Retro-li: Small-Scale Retrieval Augmented Generation Supporting Noisy Similarity Searches and Domain Shift Generalization. - Yikuan Xia, Jiazun Chen, Jun Gao:
Winning Solution For Meta KDD Cup' 24. - Irene Weber:
Low-code from frontend to backend: Connecting conversational user interfaces to backend services via a low-code IoT platform. - Markus Lohmayer, Michael Kraus, Sigrid Leyendecker:
Exergetic Port-Hamiltonian Systems: Compositional fluid and electro-magneto hydrodynamics models. - Lanre Sadeeq, Qasim Ajao:
Research on Enhancing C-V2X Communication via Danger-Aware Vehicular Networking. - Yifu Ding, Jansen Wong, Serena Patel, Dharik Mallapragada, Guiyan Zang, Robert Stoner:
A Dataset of the Operating Station Heat Rate for 806 Indian Coal Plant Units using Machine Learning. - Alejandro Aparcedo, Christian Lopez, Abhinav Kotta, Mengjie Li:
Multimodal Power Outage Prediction for Rapid Disaster Response and Resource Allocation. - Shweta, Saddam Hussain, Rajesh Kumar:
Hybridized Projected Differential Transform Method For collisional-breakage equation. - Shuyue Wang, Wenjun Zhou, Han Jiang, Shuo Wang, Ren Zheng:
TREB: a BERT attempt for imputing tabular data imputation. - Maxime Poli, Emmanuel Chemla, Emmanuel Dupoux:
Improving Spoken Language Modeling with Phoneme Classification: A Simple Fine-tuning Approach. - Bolaji Gbadamosi, Luigi Leonardi, Tobias Pulls, Toke Høiland-Jørgensen, Simone Ferlin-Reiter, Simo Sorce, Anna Brunström:
The eBPF Runtime in the Linux Kernel. - Md. Johirul Islam, Umme Rumman, Arifa Ferdousi, Md. Sarwar Pervez, Iffat Ara, Shamim Ahmad, Fahmida Haque, Sawal Hamid, Md. Ali, Kh Shahriya Zaman, Mamun Bin Ibne Reaz, Mustafa Habib Chowdhury, Md. Rezaul Islam:
Impact of Electrode Position on Forearm Orientation Invariant Hand Gesture Recognition. - Adrián Pekár:
AutoFlow: An Autoencoder-based Approach for IP Flow Record Compression with Minimal Impact on Traffic Classification. - Ryan Y. Lin, Siddhartha Ojha, Kevin Cai, Maxwell F. Chen:
Strategic Collusion of LLM Agents: Market Division in Multi-Commodity Competitions. - Victoria Violet Hoyle:
The Phenomenology of Machine: A Comprehensive Analysis of the Sentience of the OpenAI-o1 Model Integrating Functionalism, Consciousness Theories, Active Inference, and AI Architectures. - Akeem Temitope Otapo, Alice Othmani, Ghazaleh Khodabandelou, Zuheng Ming:
Prediction and Detection of Terminal Diseases Using Internet of Medical Things: A Review. - Dian Lyu, Yuetong Lu, Jassie He, Murad Mehrab Abrar, Ruijun Xie, John Raiti:
InsightPulse: An IoT-based System for User Experience Interview Analysis. - Rick White:
A Novel Spinor-Based Embedding Model for Transformers. - Junjun Huang:
Artificial intelligence-based blockchain-driven financial default prediction. - Guancheng Wan, Zewen Liu, Max S. Y. Lau, B. Aditya Prakash, Wei Jin:
Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph. - Federico Fontana, Romeo Lanzino, Anxhelo Diko, Gian Luca Foresti, Luigi Cinque:
CycleBNN: Cyclic Precision Training in Binary Neural Networks. - Haoran Li, Zhennan Jiang, Yuhui Chen, Dongbin Zhao:
Generalizing Consistency Policy to Visual RL with Prioritized Proximal Experience Regularization. - Chen Chen, Yuxin He, Hao Wang, Jingjing Chen, Qin Luo:
DelayPTC-LLM: Metro Passenger Travel Choice Prediction under Train Delays with Large Language Models. - Jizu Huang, Rukang You, Tao Zhou:
Frequency-adaptive Multi-scale Deep Neural Networks. - Zheng Zhang, Hossein Amiri, Dazhou Yu, Yuntong Hu, Liang Zhao, Andreas Züfle:
Transferable Unsupervised Outlier Detection Framework for Human Semantic Trajectories. - Carl E. J. Brodzinski:
Survey of Security and Data Attacks on Machine Unlearning In Financial and E-Commerce. - Jiang Wang, Haibin Wei, Xiaowei Xu, Jiacheng Shi, Jian Nie, Longzhi Du, Taixu Jiang:
STTM: A New Approach Based Spatial-Temporal Transformer And Memory Network For Real-time Pressure Signal In On-demand Food Delivery. - Chaohui Xu, Qi Cui, Jinxin Dong, Weiyang He, Chip-Hong Chang:
IDEA: An Inverse Domain Expert Adaptation Based Active DNN IP Protection Method. - Hannes Thurnherr, Kaspar Riesen:
Neural Decompiling of Tracr Transformers. - Kaushik Roy, Akila Dissanayake, Brendan Tidd, Peyman Moghadam:
M2Distill: Multi-Modal Distillation for Lifelong Imitation Learning. - Karol Pak, Cezary Kaliszyk:
Conway Normal Form: Bridging Approaches for Comprehensive Formalization of Surreal Numbers. - Arvid Lepsien, Marco Pegoraro, Frederik Fonger, Dominic Langhammer, Milda Aleknonyte-Resch, Agnes Koschmider:
Ranking the Top-K Realizations of Stochastically Known Event Logs. - Pepijn de Reus, Kyra Dresen, Ana Oprescu, Kristina Irion, Ans Kolk:
An interdisciplinary exploration of trade-offs between energy, privacy and accuracy aspects of data. - Hugo Daniel Macedo, Ken Pierce, Leo Freitas:
Proceedings of the 22nd International Overture Workshop. - Anestis Kaimakamidis, Ioannis Mademlis, Ioannis Pitas:
Collaborative Knowledge Distillation via a Learning-by-Education Node Community. - Daan Caljon, Jente Van Belle, Jeroen Berrevoets, Wouter Verbeke:
Optimizing Treatment Allocation in the Presence of Interference. - Wenyue Hua, Mengting Wan, Shashank Vadrevu, Ryan Nadel, Yongfeng Zhang, Chi Wang:
Interactive Speculative Planning: Enhance Agent Efficiency through Co-design of System and User Interface. - Roland Pihlakas, Joel Pyykkö:
From homeostasis to resource sharing: Biologically and economically compatible multi-objective multi-agent AI safety benchmarks. - Oytun Demirbilek, Tingying Peng, Alaa Bessadok:
Graph Residual Noise Learner Network for Brain Connectivity Graph Prediction. - Giannis Daras, Hyungjin Chung, Chieh-Hsin Lai, Yuki Mitsufuji, Jong Chul Ye, Peyman Milanfar, Alexandros G. Dimakis, Mauricio Delbracio:
A Survey on Diffusion Models for Inverse Problems. - Sunil Kumar, Ted Sandler, Paulina Varshavskaya:
Fine-tuning Vision Classifiers On A Budget. - Zhen Han, Zeyinzi Jiang, Yulin Pan, Jingfeng Zhang, Chaojie Mao, Chenwei Xie, Yu Liu, Jingren Zhou:
ACE: All-round Creator and Editor Following Instructions via Diffusion Transformer. - Alan Papalia, Yulun Tian, David M. Rosen, Jonathan P. How, John J. Leonard:
An Overview of the Burer-Monteiro Method for Certifiable Robot Perception. - Levi Cai, Kevin Chang, Yogesh A. Girdhar:
Learning to Swim: Reinforcement Learning for 6-DOF Control of Thruster-driven Autonomous Underwater Vehicles. - Pradyumna Elavarthi, Anca L. Ralescu, Mark D. Johnson, Charles J. Prestigiacomo:
Using fractal dimension to predict the risk of intra cranial aneurysm rupture with machine learning. - Zachary J. Fuge, Benjamin Beiter, Alexander Leonessa:
Additively Manufactured Open-Source Quadruped Robots for Multi-Robot SLAM Applications. - Alp Sahin, Nicolas Kozachuk, Rick S. Blum, Subhrajit Bhattacharya:
Resonance Reduction Against Adversarial Attacks in Dynamic Networks via Eigenspectrum Optimization. - Maciej Krzywda, Szymon Lukasik, Amir H. Gandomi:
Cartesian Genetic Programming Approach for Designing Convolutional Neural Networks. - Ji Liu, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Yang Zhou, Patrick Valduriez, Dejing Dou:
Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models. - Jiachen Ye, Dingyu Wang, Shaocheng Jia, Xin Pei, Zi Yang, Yi Zhang, Sze Chun Wong:
CVVLSNet: Vehicle Location and Speed Estimation Using Partial Connected Vehicle Trajectory Data. - Melkamu Mersha, Mesay Gemeda Yigezu, Jugal Kalita:
Semantic-Driven Topic Modeling Using Transformer-Based Embeddings and Clustering Algorithms. - Nicholas Rober, Jonathan P. How:
Constraint-Aware Refinement for Safety Verification of Neural Feedback Loops. - Ananias Tomboulides, Matthew J. Churchfield, Paul F. Fischer, Michael A. Sprague, Misun Min:
Modeling Turbulence in the Atmospheric Boundary Layer with Spectral Element and Finite Volume Methods. - Divya Patel, Pathik Patel, Ankush Chander, Sourish Dasgupta, Tanmoy Chakraborty:
Are Large Language Models In-Context Personalized Summarizers? Get an iCOPERNICUS Test Done! - Qiushuo Hou, Sangwoo Park, Matteo Zecchin, Yunlong Cai, Guanding Yu, Osvaldo Simeone:
What If We Had Used a Different App? Reliable Counterfactual KPI Analysis in Wireless Systems. - Stephen Miner, Yoshiki Takashima, Simeng Han, Ferhat Erata, Timos Antonopoulos, Ruzica Piskac, Scott J. Shapiro:
Scheherazade: Evaluating Chain-of-Thought Math Reasoning in LLMs with Chain-of-Problems. - Haiyan Zhao, Heng Zhao, Bo Shen, Ali Payani, Fan Yang, Mengnan Du:
Beyond Single Concept Vector: Modeling Concept Subspace in LLMs with Gaussian Distribution. - Abhinav Kumar, Peter Mitrano, Dmitry Berenson:
Constraining Gaussian Process Implicit Surfaces for Robot Manipulation via Dataset Refinement. - Isaac Rehg:
KV-Compress: Paged KV-Cache Compression with Variable Compression Rates per Attention Head. - Pedro Henrique Paiola, Gabriel Lino Garcia, João Renato Ribeiro Manesco, Mateus Roder, Douglas Rodrigues, João Paulo Papa:
Adapting LLMs for the Medical Domain in Portuguese: A Study on Fine-Tuning and Model Evaluation. - Hongyu Chen, Weiming Zeng, Chengcheng Chen, Luhui Cai, Fei Wang, Lei Wang, Wei Zhang, Yueyang Li, Hongjie Yan, Wai Ting Siok, Nizhuan Wang:
EEG Emotion Copilot: Pruning LLMs for Emotional EEG Interpretation with Assisted Medical Record Generation. - Weiting Tan, Hirofumi Inaguma, Ning Dong, Paden Tomasello, Xutai Ma:
SSR: Alignment-Aware Modality Connector for Speech Language Models. - Rossen Nenov, Daniel Haider, Peter Balazs:
(Almost) Smooth Sailing: Towards Numerical Stability of Neural Networks Through Differentiable Regularization of the Condition Number. - Tyler Ingebrand, Adam J. Thorpe, Somdatta Goswami, Krishna Kumar, Ufuk Topcu:
Basis-to-Basis Operator Learning Using Function Encoders. - Sarthak Pati, Szymon Mazurek, Spyridon Bakas:
GaNDLF-Synth: A Framework to Democratize Generative AI for (Bio)Medical Imaging. - Bingsheng Yao, Yao Du, Yue Fu, Xuhai Xu, Yanjun Gao, Hong Yu, Dakuo Wang:
Exploring Interdisciplinary Team Collaboration in Clinical NLP Projects Through the Lens of Activity Theory. - Rongchen Guo, Isar Nejadgholi, Hillary Dawkins, Kathleen C. Fraser, Svetlana Kiritchenko:
Adaptable Moral Stances of Large Language Models on Sexist Content: Implications for Society and Gender Discourse. - Greg Eisenhauer, Norbert Podhorszki, Ana Gainaru, Scott Klasky, Philip E. Davis, Manish Parashar, Matthew Wolf, Eric Suchtya, Erick Fredj, Vicente Bolea, Franz Pöschel, Klaus Steiniger, Michael Bussmann, Richard Pausch, Sunita Chandrasekaran:
Streaming Data in HPC Workflows Using ADIOS. - Kush Dubey:
Evaluating the fairness of task-adaptive pretraining on unlabeled test data before few-shot text classification. - Rene Mai, Agung Julius, Sandipan Mishra:
Analysis of human steering behavior differences in human-in-control and autonomy-in-control driving. - Emma McDaniel, Samuel Scheele, Jeff Liu:
Zero-Shot Classification of Crisis Tweets Using Instruction-Finetuned Large Language Models. - Hossein Amiri, Will Kohn, Shiyang Ruan, Joon-Seok Kim, Hamdi Kavak, Andrew T. Crooks, Dieter Pfoser, Carola Wenk, Andreas Züfle:
The Patterns of Life Human Mobility Simulation. - Daeun Joyce Chung, Muya Guoji, Nina Mindel, Alexis Malkin, Fernando Alberotrio, Shane Lowe, Chris McNally, Casandra Xavier, Paul Ruvolo:
Large-scale, Longitudinal, Hybrid Participatory Design Program to Create Navigation Technology for the Blind. - Buse Giledereli, Yifan Hou, Yilei Tu, Mrinmaya Sachan:
Do Vision-Language Models Really Understand Visual Language? - Si Cheng, Shuxu Huffman, Qingxiaoyang Zhu, Haotian Su, Raja S. Kushalnagar, Qi Wang:
"Real Learner Data Matters" Exploring the Design of LLM-Powered Question Generation for Deaf and Hard of Hearing Learners. - Si Cheng, Haocong Cheng, Suzy Su, Lu Ming, Sarah Masud, Qi Wang, Yun Huang:
Motion Design Principles for Accessible Video-based Learning: Addressing Cognitive Challenges for Deaf and Hard of Hearing Learners. - Si Chen, Jason Situ, Haocong Cheng, Suzy Su, Desirée Kirst, Lu Ming, Qi Wang, Lawrence Angrave, Yun Huang:
Inclusive Emotion Technologies: Addressing the Needs of d/Deaf and Hard of Hearing Learners in Video-Based Learning. - Yi-Hao Peng, Faria Huq, Yue Jiang, Jason Wu, Amanda Xin Yue Li, Jeffrey P. Bigham, Amy Pavel:
DreamStruct: Understanding Slides and User Interfaces via Synthetic Data Generation. - Yichen Guo, Paul F. Fischer, Misun Min:
Spectral Element Simulation of Liquid Metal Magnetohydrodynamics. - Tuan Anh Nguyen:
Multilevel Picard approximations overcome the curse of dimensionality when approximating semilinear heat equations with gradient-dependent nonlinearities in Lp-sense. - Saihui Hou, Panjian Huang, Zengbin Wang, Yuan Liu, Zeyu Li, Man Zhang, Yongzhen Huang:
OpenAnimals: Revisiting Person Re-Identification for Animals Towards Better Generalization. - Éric Colin de Verdière, Petr Hlinený:
FPT Algorithms for Crossing Number Problems: A Unified Approach. - Tin Yuet Chung, Majid Latifi:
Evaluating the performance of state-of-the-art esg domain-specific pre-trained large language models in text classification against existing models and traditional machine learning techniques. - Mehran Attar, Walter Lucia:
A Data-Driven Approach To Preserve Safety and Reference Tracking for Constrained Cyber-Physical Systems Under Network Attacks. - Dmitry Kosolobov:
Closed Repeats. - Tim Beyer, Angela Dai:
End-to-end Piano Performance-MIDI to Score Conversion with Transformers. - Pierre Monmarché, Renato Spacek, Gabriel Stoltz:
Transient subtraction: A control variate method for computing transport coefficients. - Yejin Lee, Anna Y. Sun, Basil Hosmer, Bilge Acun, Can Balioglu, Changhan Wang, Charles David Hernandez, Christian Puhrsch, Daniel Haziza, Driss Guessous, Francisco Massa, Jacob Kahn, Jeffrey Wan, Jeremy Reizenstein, Jiaqi Zhai, Joe Isaacson, Joel Schlosser, Juan Pino, Kaushik Ram Sadagopan, Leonid Shamis, Linjian Ma, Min-Jae Hwang, Mingda Chen, Mostafa Elhoushi, Pedro Rodriguez, Ram Pasunuru, Scott Yih, Sravya Popuri, Xing Liu, Carole-Jean Wu:
Characterizing and Efficiently Accelerating Multimodal Generation Model Inference. - Lan Li, Liri Fang, Yiren Liu, Vetle I. Torvik, Bertram Ludäscher:
T-KAER: Transparency-enhanced Knowledge-Augmented Entity Resolution Framework. - Oliver J. Shindell, Aaron C. Davis, David J. Cappelleri:
Micromanipulation System for Microscale Magnetic Component Alignment and Assembly. - Wentao Tang:
Koopman Operator in the Weighted Function Spaces and its Learning for the Estimation of Lyapunov and Zubov Functions. - Md Rejwanur Rahman, Adrian Rodriguez-Marek, Nina Stark, Grace Massey, Carl Friedrichs, Kelly M. Dorgan:
Probabilistic Classification of Near-Surface Shallow-Water Sediments using A Portable Free-Fall Penetrometer. - Qi Wu, Zipeng Fu, Xuxin Cheng, Xiaolong Wang, Chelsea Finn:
Helpful DoggyBot: Open-World Object Fetching using Legged Robots and Vision-Language Models. - Qiang Ye:
Preconditioning for Accelerated Gradient Descent Optimization and Regularization. - Abdulmajeed Alsubhi, Rosemary Renaut:
Split Bregman Isotropic and Anisotropic Image Deblurring with Kronecker Product Sum Approximations using Single Precision Enlarged-GKB or RSVD Algorithms to provide low rank truncated SVDs. - Hamid Jafarkhani, Hossein Maleki, Mojtaba Vaezi:
Modulation and Coding for NOMA and RSMA. - Rithvik Prakki:
Demonstrating the Continual Learning Capabilities and Practical Application of Discrete-Time Active Inference. - Tomàs Ortega, Hamid Jafarkhani:
Quantized and Asynchronous Federated Learning. - Martin Kittel, Wolf-Peter Schill:
Quantifying the Dunkelflaute: An analysis of variable renewable energy droughts in Europe. - Weiliang Qi, Jiahao Cao, Darsh Poddar, Sophia Li, Xinda Wang:
Enhancing Pre-Trained Language Models for Vulnerability Detection via Semantic-Preserving Data Augmentation. - Marina Ribeiro, Bárbara Malcorra, Natália B. Mota, Rodrigo Wilkens, Aline Villavicencio, Lilian C. Hubner, César Rennó-Costa:
A Methodology for Explainable Large Language Models with Integrated Gradients and Linguistic Analysis in Text Classification. - Anna Deichler, Jim O'Regan, Jonas Beskow:
MM-Conv: A Multi-modal Conversational Dataset for Virtual Humans. - Weitai Kang, Haifeng Huang, Yuzhang Shang, Mubarak Shah, Yan Yan:
Robin3D: Improving 3D Large Language Model via Robust Instruction Tuning. - Qianwen Xing, Chang Yu, Sining Huang, Qi Zheng, Xingyu Mu, Mengying Sun:
Enhanced Credit Score Prediction Using Ensemble Deep Learning Model. - Lancelot Da Costa, Tomás Gavenciak, David Hyland, Mandana Samiei, Cristian Dragos-Manta, Candice Pattisapu, Adeel Razi, Karl J. Friston:
Possible principles for aligned structure learning agents. - Vinayak Arannil, Neha Narwal, Sourav Sanjukta Bhabesh, Sai Nikhil Thirandas, Darren Yow-Bang Wang, Graham Horwood, Alex Anto Chirayath, Gouri Pandeshwar:
DoPAMine: Domain-specific Pre-training Adaptation from seed-guided data Mining. - Kejia Ren, Gaotian Wang, Andrew S. Morgan, Lydia E. Kavraki, Kaiyu Hang:
Object-Centric Kinodynamic Planning for Nonprehensile Robot Rearrangement Manipulation. - Jian Shi, Zhenyu Li, Peter Wonka:
ImmersePro: End-to-End Stereo Video Synthesis Via Implicit Disparity Learning. - Kun Yuan, Vinkle Srivastav, Nassir Navab, Nicolas Padoy:
Procedure-Aware Surgical Video-language Pretraining with Hierarchical Knowledge Augmentation. - Aleyna Kütük, Tevfik Metin Sezgin:
Class-Agnostic Visio-Temporal Scene Sketch Semantic Segmentation. - Sachin Karmani, Thanushon Sivakaran, Gaurav Prasad, Mehmet Ali, Wenbo Yang, Sheyang Tang:
KPCA-CAM: Visual Explainability of Deep Computer Vision Models using Kernel PCA. - Yuchen Chu, Zeshi Yang:
Real-time Diverse Motion In-betweening with Space-time Control. - Zida Wu, Ankur Mehta:
Decentralized Input and State Estimation for Multi-agent System with Dynamic Topology and Heterogeneous Sensor Network. - Shashank Subramanian, Ermal Rrapaj, Peter Harrington, Smeet Chheda, Steven Farrell, Brian Austin, Samuel Williams, Nicholas J. Wright, Wahid Bhimji:
Comprehensive Performance Modeling and System Design Insights for Foundation Models. - Amina Kobenova, Cyan DeVeaux, Samyak Parajuli, Andrzej Banburski-Fahey, Judith Amores Fernandez, Jaron Lanier:
Social Conjuring: Multi-User Runtime Collaboration with AI in Building Virtual 3D Worlds. - Rohaifa Khaldi, Domingo Alcaraz-Segura, Ignacio Sánchez-Herrera, Javier Martínez-López, Carlos Javier Navarro, Siham Tabik:
On Large Uni- and Multi-modal Models for Unsupervised Classification of Social Media Images: Nature's Contribution to People as a case study. - Alireza Ardalani, Joseph Antonucci, Iulian Neamtiu:
Towards Precise Detection of Personal Information Leaks in Mobile Health Apps. - Grigorios A. Pavliotis, Renato Spacek, Gabriel Stoltz, Urbain Vaes:
Neural network approaches for variance reduction in fluctuation formulas. - Dongcheng Li, W. Eric Wong, Xiaodan Wang, Sean Pan, Liang-Seng Koh:
Smart Contract Vulnerability Detection based on Static Analysis and Multi-Objective Search. - Mohssen E. Elshaar, Zeyad M. Manaa, Mohammed R. Elbalshy, Abdul Jabbar Siddiqui, Ayman M. Abdallah:
Performance Evaluation of Deep Learning-based Quadrotor UAV Detection and Tracking Methods. - Levi Burner, Cornelia Fermüller, Yiannis Aloimonos:
Embodied Visuomotor Representation. - Dasong Li, Wenjie Li, Baili Lu, Hongsheng Li, Sizhuo Ma, Gurunandan Krishnan, Jian Wang:
Delving Deep into Engagement Prediction of Short Videos. - Chun-Hsiao Yeh, Jiayun Wang, Andrew D. Graham, Andrea J. Liu, Bo Tan, Yubei Chen, Yi Ma, Meng C. Lin:
Insight: A Multi-Modal Diagnostic Pipeline using LLMs for Ocular Surface Disease Diagnosis. - Murat Isik, Jonathan Naoukin, Ismail Can Dikmen:
NeuroVM: Dynamic Neuromorphic Hardware Virtualization. - Xuefeng Du, Reshmi Ghosh, Robert Sim, Ahmed Salem, Vitor Carvalho, Emily Lawton, Yixuan Li, Jack W. Stokes:
VLMGuard: Defending VLMs against Malicious Prompts via Unlabeled Data. - Amlan Sinha, Ryne Beeson:
Algorithmic Considerations for Effective Global Search of Robust Low-Thrust Trajectories. - Zhangshuo Qi, Junyi Ma, Jingyi Xu, Zijie Zhou, Luqi Cheng, Guangming Xiong:
GSPR: Multimodal Place Recognition Using 3D Gaussian Splatting for Autonomous Driving. - Tracy Sweet, Selena Wang:
Network Science in Psychology. - Vanessa Hernandez-Cruz, Xiaotong Zhang, Kamal Youcef-Toumi:
Bayesian Intention for Enhanced Human Robot Collaboration. - Yunzhuo Guo, Qian Yin, Zhengru Zhang:
A structure-preserving implicit exponential time differencing scheme for Maxwell-Ampère Nernst-Planck model. - Moinak Bhattacharya, Gagandeep Singh, Shubham Jain, Prateek Prasanna:
RadGazeGen: Radiomics and Gaze-guided Medical Image Generation using Diffusion Models. - Laura Bravo Sánchez, Jaewoo Heo, Zhenzhen Weng, Kuan-Chieh Wang, Serena Yeung-Levy:
Ask, Pose, Unite: Scaling Data Acquisition for Close Interactions with Vision Language Models. - Guangyao Liu, Tianqi Mao, Zhenyu Xiao, Ruiqi Liu, Miaowen Wen:
Pre-Chirp-Domain Index Modulation for Full-Diversity Affine Frequency Division Multiplexing towards 6G. - Haozhe Chen, Run Chen, Julia Hirschberg:
EmoKnob: Enhance Voice Cloning with Fine-Grained Emotion Control. - Haoran Sun, Qingying Gao, Haiyun Lyu, Dezhi Luo, Hokin Deng, Yijiang Li:
Probing Mechanical Reasoning in Large Vision Language Models. - Qihang Zhou, Jiangtao Yan, Shibo He, Wenchao Meng, Jiming Chen:
PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection. - Chieh-Yun Chen, Chiang Tseng, Li-Wu Tsao, Hong-Han Shuai:
A Cat Is A Cat (Not A Dog!): Unraveling Information Mix-ups in Text-to-Image Encoders through Causal Analysis and Embedding Optimization. - Marcos M. Vasconcelos, Odilon Câmara:
Strategic information disclosure with communication constraints and private preferences. - Qingying Gao, Yijiang Li, Haiyun Lyu, Haoran Sun, Dezhi Luo, Hokin Deng:
Vision Language Models See What You Want but not What You See. - Chenqing Hua, Yong Liu, Dinghuai Zhang, Odin Zhang, Sitao Luan, Kevin K. Yang, Guy Wolf, Doina Precup, Shuangjia Zheng:
EnzymeFlow: Generating Reaction-specific Enzyme Catalytic Pockets through Flow Matching and Co-Evolutionary Dynamics. - Shangye Chen, Jin Huang, Shuangyan Yang, Jie Liu, Huaicheng Li, Dimitrios Nikolopoulos, Junhee Ryu, Jinho Baek, Kwangsik Shin, Dong Li:
Tuning Fast Memory Size based on Modeling of Page Migration for Tiered Memory. - Dezhi Luo, Haiyun Lyu, Qingying Gao, Haoran Sun, Yijiang Li, Hokin Deng:
Vision Language Models Know Law of Conservation without Understanding More-or-Less. - Quyen Tran, Nguyen Xuan Thanh, Nguyen Hoang Anh, Nam Le Hai, Trung Le, Linh Ngo Van, Thien Huu Nguyen:
Preserving Generalization of Language models in Few-shot Continual Relation Extraction. - Leheng Li, Weichao Qiu, Yingjie Cai, Xu Yan, Qing Lian, Bingbing Liu, Ying-Cong Chen:
SyntheOcc: Synthesize Geometric-Controlled Street View Images through 3D Semantic MPIs. - Gabriel Franco, Mark Crovella:
Sparse Attention Decomposition Applied to Circuit Tracing. - Leonas Liu, Yingfan Zhang, Larry Zhang, Mehbi Kermanshabi:
RRT-CBF Based Motion Planning. - Lilac Atassi:
Integrating Text-to-Music Models with Language Models: Composing Long Structured Music Pieces. - Carles Domingo-Enrich:
A Taxonomy of Loss Functions for Stochastic Optimal Control. - Diego Gómez-Zará, Victoria Kam, Charles Chiang, Leslie A. DeChurch, Noshir Contractor:
Augmenting team diversity and performance by enabling agency and fairness criteria in recommendation algorithms. - Huy Nguyen, Kien Nguyen, Akila Pemasiri, Sridha Sridharan, Clinton Fookes:
Revisiting the Role of Texture in 3D Person Re-identification. - Christian Arzate Cruz, Yotam Sechayk, Takeo Igarashi, Randy Gomez:
Data Augmentation for 3DMM-based Arousal-Valence Prediction for HRI. - Changlin Li, Jiawei Zhang, Sihao Lin, Zongxin Yang, Junwei Liang, Xiaodan Liang, Xiaojun Chang:
Efficient Training of Large Vision Models via Advanced Automated Progressive Learning. - Zepei Sun, Randall Berry:
Interleaved One-Shot SPS Performance under Smart DoS Attacks in C-V2X Networks. - Chung-Chi Chen, Hiroya Takamura, Ichiro Kobayashi, Yusuke Miyao:
Hierarchical Organization Simulacra in the Investment Sector. - Keshu Wu, Pei Li, Yang Cheng, Steven T. Parker, Bin Ran, David A. Noyce, Xinyue Ye:
A Digital Twin Framework for Physical-Virtual Integration in V2X-Enabled Connected Vehicle Corridors. - Hao Liu, Zecheng Zhang, Wenjing Liao, Hayden Schaeffer:
Neural Scaling Laws of Deep ReLU and Deep Operator Network: A Theoretical Study. - James Bockman, Matthew Howe, Adrian Orenstein, Feras Dayoub:
AARK: An Open Toolkit for Autonomous Racing Research. - Xiao Peng, Xufan Geng:
Self-controller: Controlling LLMs with Multi-round Step-by-step Self-awareness. - Muyao Peng, Pei An, Zichen Wan, You Yang, Qiong Liu:
TFCT-I2P: Three stream fusion network with color aware transformer for image-to-point cloud registration. - Hongbo Wang, Mingda Li, Junyu Lu, Hebin Xia, Liang Yang, Bo Xu, Ruizhu Liu, Hongfei Lin:
PclGPT: A Large Language Model for Patronizing and Condescending Language Detection. - Zhidong Gao, Yu Zhang, Zhenxiao Zhang, Yanmin Gong, Yuanxiong Guo:
FedPT: Federated Proxy-Tuning of Large Language Models on Resource-Constrained Edge Devices. - Shitian Zhao, Renrui Zhang, Xu Luo, Yan Wang, Shanghang Zhang, Peng Gao:
Unleashing the Potentials of Likelihood Composition for Multi-modal Language Models. - Yuqi Zhang, Adam Perer, Will Epperson:
Guided Statistical Workflows with Interactive Explanations and Assumption Checking. - Prasenjit Maji, Amit Kumar Mondal, Hemanta Kumar Mondal, Saraju P. Mohanty:
Easydiagnos: a framework for accurate feature selection for automatic diagnosis in smart healthcare. - Riadul Islam, Sri Ranga Sai Krishna Tummala, Joey Mulé, Rohith Kankipati, Suraj Jalapally, Dhandeep Challagundla, Chad Howard, Ryan Robucci:
Descriptor: Face Detection Dataset for Programmable Threshold-Based Sparse-Vision. - Jiafei Duan, Wilbert Pumacay, Nishanth Kumar, Yi Ru Wang, Shulin Tian, Wentao Yuan, Ranjay Krishna, Dieter Fox, Ajay Mandlekar, Yijie Guo:
AHA: A Vision-Language-Model for Detecting and Reasoning Over Failures in Robotic Manipulation. - Hongjun Wang, Jiyuan Chen, Tong Pan, Zheng Dong, Lingyu Zhang, Renhe Jiang, Xuan Song:
Robust Traffic Forecasting against Spatial Shift over Years. - Hanyu Yang, Shiqi Gong, Heng Liu, Chengwen Xing, Nan Zhao, Dusit Niyato:
Frequency Diverse Array-enabled RIS-aided Integrated Sensing and Communication. - Xiao Wang, Fuling Wang, Yuehang Li, Qingchuan Ma, Shiao Wang, Bo Jiang, Chuanfu Li, Jin Tang:
CXPMRG-Bench: Pre-training and Benchmarking for X-ray Medical Report Generation on CheXpert Plus Dataset. - Zaid Ilyas, Naveed Akhtar, David Suter, Syed Zulqarnain Gilani:
GLMHA A Guided Low-rank Multi-Head Self-Attention for Efficient Image Restoration and Spectral Reconstruction. - Yuhao Liu, James Doss-Gollin, Guha Balakrishnan, Ashok Veeraraghavan:
Generative Precipitation Downscaling using Score-based Diffusion with Wasserstein Regularization. - Shota Takashiro, Takeshi Kojima, Andrew Gambardella, Qi Cao, Yusuke Iwasawa, Yutaka Matsuo:
Answer When Needed, Forget When Not: Language Models Pretend to Forget via In-Context Knowledge Unlearning. - Hongjun Wang, Jiyuan Chen, Tong Pan, Zheng Dong, Lingyu Zhang, Renhe Jiang, Xuan Song:
STGformer: Efficient Spatiotemporal Graph Transformer for Traffic Forecasting. - Hongchao Shu, Mingxu Liu, Lalithkumar Seenivasan, Suxi Gu, Ping-Cheng Ku, Jonathan Knopf, Russell H. Taylor, Mathias Unberath:
Seamless Augmented Reality Integration in Arthroscopy: A Pipeline for Articular Reconstruction and Guidance. - Bhargav Shandilya, Alexis Palmer:
Boosting the Capabilities of Compact Models in Low-Data Contexts with Large Language Models and Retrieval-Augmented Generation. - Daniel Choi, Angus Fung, Haitong Wang, Aaron Hao Tan:
Find Everything: A General Vision Language Model Approach to Multi-Object Search. - Yongyang Tang, Zhe Chen, Ang Li, Tianyue Zheng, Zheng Lin, Jia Xu, Pin Lv, Zhe Sun, Yue Gao:
MERIT: Multimodal Wearable Vital Sign Waveform Monitoring. - Mengyuan Chen, Junyu Gao, Changsheng Xu:
Revisiting Essential and Nonessential Settings of Evidential Deep Learning. - Wei Dai, Diya Kafle, Brian Miller:
Analyzing School Shootings in the US with Statistical Learning. - Dawit Zeleke Admassu:
Performance Improvement of IaaS Type of Cloud Computing Using Virtualization Technique. - Zhi Xu, Shaozhe Hao, Kai Han:
CusConcept: Customized Visual Concept Decomposition with Diffusion Models. - Jenny Ma, Karthik Sreedhar, Vivian Liu, Sitong Wang, Pedro Alejandro Perez, Riya Sahni, Lydia B. Chilton:
DynEx: Dynamic Code Synthesis with Structured Design Exploration for Accelerated Exploratory Programming. - Mazen Balat, Mahmoud Essam Gabr, Hend Bakr, Ahmed B. Zaky:
TikGuard: A Deep Learning Transformer-Based Solution for Detecting Unsuitable TikTok Content for Kids. - Yooseok Lim, Sujee Lee:
Intelligent Repetition Counting for Unseen Exercises: A Few-Shot Learning Approach with Sensor Signals. - Mahamudul Hasan:
ECORS: An Ensembled Clustering Approach to Eradicate The Local And Global Outlier In Collaborative Filtering Recommender System. - Yang Han, Yiming Wang, Rui Wang, Lu Chen, Kai Yu:
AlignSum: Data Pyramid Hierarchical Fine-tuning for Aligning with Human Summarization Preference. - Yu Zhang, Zhao Kang:
TPN: Transferable Proto-Learning Network towards Few-shot Document-Level Relation Extraction. - Daehwan Nam, Gary Geunbae Lee:
Semantic Parsing with Candidate Expressions for Knowledge Base Question Answering. - Sai Ganga, Ziya Uddin:
Exploring Physics-Informed Neural Networks: From Fundamentals to Applications in Complex Systems. - Dongjie Yang, Hai Zhao:
Are LLMs Aware that Some Questions are not Open-ended? - Stone Tao, Fanbo Xiang, Arth Shukla, Yuzhe Qin, Xander Hinrichsen, Xiaodi Yuan, Chen Bao, Xinsong Lin, Yulin Liu, Tse-kai Chan, Yuan Gao, Xuanlin Li, Tongzhou Mu, Nan Xiao, Arnav Gurha, Zhiao Huang, Roberto Calandra, Rui Chen, Shan Luo, Hao Su:
ManiSkill3: GPU Parallelized Robotics Simulation and Rendering for Generalizable Embodied AI. - Phillip Schneider, Florian Matthes:
Conversational Exploratory Search of Scholarly Publications Using Knowledge Graphs. - Yi Xiong, Hao Wu, Changxu Shao, Ziqing Wang, Rui Zhang, Yuhong Guo, Junping Zhao, Ke Zhang, Zhenxuan Pan:
LayerKV: Optimizing Large Language Model Serving with Layer-wise KV Cache Management. - Chanhui Lee, Dae-Woong Jeong, Sung Moon Ko, Sumin Lee, Hyunseung Kim, Soorin Yim, Sehui Han, Sungwoong Kim, Sungbin Lim:
Scalable Multi-Task Transfer Learning for Molecular Property Prediction. - Yang Li, Wenhan Yu, Jun Zhao:
PrivTuner with Homomorphic Encryption and LoRA: A P3EFT Scheme for Privacy-Preserving Parameter-Efficient Fine-Tuning of AI Foundation Models. - Robert Ranisch, Joschka Haltaufderheide:
Deceptive Risks in LLM-enhanced Robots. - Lexiang Hu, Yisen Wang, Zhouchen Lin:
EKAN: Equivariant Kolmogorov-Arnold Networks. - Miyu Goko, Motonari Kambara, Daichi Saito, Seitaro Otsuki, Komei Sugiura:
Task Success Prediction for Open-Vocabulary Manipulation Based on Multi-Level Aligned Representations. - Weizhu Bao, Yifei Li, Quan Zhao:
A structure-preserving parametric finite element method for solid-state dewetting on curved substrates. - Luyang Luo, Jenanan Vairavamurthy, Xiaoman Zhang, Abhinav Kumar, Ramon R. Ter-Oganesyan, Stuart T. Schroff, Dan Shilo, Rydhwana Hossain, Mike Moritz, Pranav Rajpurkar:
ReXplain: Translating Radiology into Patient-Friendly Video Reports. - Yunnan Wang, Ziqiang Li, Zequn Zhang, Wenyao Zhang, Baao Xie, Xihui Liu, Wenjun Zeng, Xin Jin:
Scene Graph Disentanglement and Composition for Generalizable Complex Image Generation. - Hanqi Jiang, Xixuan Hao, Yuzhou Huang, Chong Ma, Jiaxun Zhang, Yi Pan, Ruimao Zhang:
Advancing Medical Radiograph Representation Learning: A Hybrid Pre-training Paradigm with Multilevel Semantic Granularity. - Shunpei Norihama, Shixian Geng, Kakeru Miyazaki, Arissa J. Sato, Mari Hirano, Simo Hosio, Koji Yatani:
Examining Input Modalities and Visual Feedback Designs in Mobile Expressive Writing. - Wei Zhao, Zhe Li, Yige Li, Jun Sun:
Adversarial Suffixes May Be Features Too! - Till Schlüter, Nils Ole Tippenhauer:
A Scheduling-Aware Defense Against Prefetching-Based Side-Channel Attacks. - Wenlan Zhang, Miguel Núñez-del-Prado, Vincent Gauthier, Sveta Milusheva:
The NetMob2024 Dataset: Population Density and OD Matrices from Four LMIC Countries. - Tai D. Nguyen, Long H. Pham, Jun Sun:
UniAdapt: A Universal Adapter for Knowledge Calibration. - Jin Zhang, Jincheng Zhou, Xiang Zhang, Di Ma, Chunye Gong:
Fine-Grained Vectorized Merge Sorting on RISC-V: From Register to Cache. - Aashi Shrinate, Twinkle Tripathy:
Absolute centrality in a signed Friedkin-Johnsen based model: a graphical characterisation of influence. - Siyi He:
Enhancing Solution Efficiency in Reinforcement Learning: Leveraging Sub-GFlowNet and Entropy Integration. - Yuanwen Zhang, Jingfeng Xiong, Haolan Xian, Chuheng Chen, Xinxing Chen, Chenglong Fu, Yuquan Leng:
Fast Hip Joint Moment Estimation with A General Moment Feature Generation Method. - Bohong Chen, Yumeng Li, Yao-Xiang Ding, Tianjia Shao, Kun Zhou:
Enabling Synergistic Full-Body Control in Prompt-Based Co-Speech Motion Generation. - Léo Henry, Thierry Jéron, Nicolas Markey, Victor Roussanaly:
Distributed Monitoring of Timed Properties. - Shaoqing Zhang, Zhuosheng Zhang, Kehai Chen, Xinbei Ma, Muyun Yang, Tiejun Zhao, Min Zhang:
Dynamic Planning for LLM-based Graphical User Interface Automation. - Ivica Dimitrovski, Vlatko Spasev, Ivan Kitanovski:
Deep Multimodal Fusion for Semantic Segmentation of Remote Sensing Earth Observation Data. - Trung Hau Hoang:
Order Reduction of Exponential Runge-Kutta Methods: Non-Commuting Operators. - Hiroaki Chiba-Okabe:
Probabilistic Analysis of Copyright Disputes and Generative AI Safety. - Pranav Gupta, Advith Krishnan, Naman Nanda, Ananth Eswar, Deeksha Agarwal, Pratham Gohil, Pratyush Goel:
ViDAS: Vision-based Danger Assessment and Scoring. - Krzysztof Zielinski, Bruce Blumberg, Mikkel Baun Kjærgaard:
Precise Workcell Sketching from Point Clouds Using an AR Toolbox. - Rami Skaik, Leonardo Rossi, Tomaso Fontanini, Andrea Prati:
MCGM: Mask Conditional Text-to-Image Generative Model. - Krzysztof Zielinski, Ryan Penning, Bruce Blumberg, Christian Schlette, Mikkel Baun Kjærgaard:
RobotGraffiti: An AR tool for semi-automated construction of workcell models to optimize robot deployment. - Niki Maria Foteinopoulou, Enjie Ghorbel, Djamila Aouada:
A Hitchhikers Guide to Fine-Grained Face Forgery Detection Using Common Sense Reasoning. - Dapeng Feng, Zhiqiang Chen, Yizhen Yin, Shipeng Zhong, Yuhua Qi, Hongbo Chen:
CaRtGS: Computational Alignment for Real-Time Gaussian Splatting SLAM. - Yu Wang, Xinshuang Liu, Xiusi Chen, Sean O'Brien, Junda Wu, Julian J. McAuley:
Self-Updatable Large Language Models with Parameter Integration. - Cong Wang, Aoming Liang, Fei Han, Xinyu Zeng, Zhibin Li, Dixia Fan, Jens Kober:
Learning Adaptive Hydrodynamic Models Using Neural ODEs in Complex Conditions. - Alessia Andò, Rossana Vermiglio:
Exponential Runge-Kutta methods for delay equations in the sun-star abstract framework. - Max Heinz Herkersdorf, Tarek Kösters, Oliver Nelles:
Optimized Excitation Signal Tailored to Pertinent Dynamic Process Characteristics. - Diogo Pernes, Gonçalo M. Correia, Afonso Mendes:
Multi-Target Cross-Lingual Summarization: a novel task and a language-neutral approach. - Yida Lin, Bing Xue, Mengjie Zhang, Sam Schofield, Richard Green:
Drone Stereo Vision for Radiata Pine Branch Detection and Distance Measurement: Utilizing Deep Learning and YOLO Integration. - Max Heinz Herkersdorf, Oliver Nelles:
Optimized Excitation Signal Design Employing Receding Horizon Control. - Araceli Zapatero-Gutiérrez, Eduardo Castillo Castañeda, Med Amine Laribi:
A five-bar mechanism to assist finger flexion-extension movement: system implementation. - Mingye Zhu, Yi Liu, Quan Wang, Junbo Guo, Zhendong Mao:
FlipGuard: Defending Preference Alignment against Update Regression with Constrained Optimization. - Michael Vollenweider, Manuel Schürch, Chiara Rohrer, Gabriele Gut, Michael Krauthammer, Andreas Wicki:
Learning Personalized Treatment Decisions in Precision Medicine: Disentangling Treatment Assignment Bias in Counterfactual Outcome Prediction and Biomarker Identification. - Mushir Akhtar, Ritik Mishra, M. Tanveer, Mohd. Arshad:
Advancing RVFL networks: Robust classification with the HawkEye loss function. - Deokhyung Kang, Seonjeong Hwang, Yunsu Kim, Gary Geunbae Lee:
Cross-lingual Back-Parsing: Utterance Synthesis from Meaning Representation for Zero-Resource Semantic Parsing. - Óscar Gil, Alberto Sanfeliu:
Human-Robot Collaborative Minimum Time Search through Sub-priors in Ant Colony Optimization. - Henning Cui, Andreas Margraf, Jörg Hähner:
Analysing the Influence of Reorder Strategies for Cartesian Genetic Programming. - Eitan Wagner, Amir Feder, Omri Abend:
Exploring the Learning Capabilities of Language Models using LEVERWORLDS. - Taewook Park, Seunghwan Kim, Hyondong Oh:
Design and Identification of Keypoint Patches in Unstructured Environments. - Arthur Amalvy, Vincent Labatut:
Annotation Guidelines for Corpus Novelties: Part 2 - Alias Resolution Version 1.0. - Bernd Ulmann, Shrish Roy:
Building a simple oscillator based Ising machine for research and education. - Hamed Behzadi-Khormouji, José Oramas:
Deep Model Interpretation with Limited Data : A Coreset-based Approach. - Tony Lelièvre, Régis Santet, Gabriel Stoltz:
Improving sampling by modifying the effective diffusion. - Shiwei Wu, Chen Zhang, Yan Gao, Qimeng Wang, Tong Xu, Yao Hu, Enhong Chen:
Benchmarking Large Language Models for Conversational Question Answering in Multi-instructional Documents. - Pierre Letouzey, Shuo Li, Wolfgang Steiner:
Pointwise order of generalized Hofstadter functions G, H and beyond. - Zonghang Li, Wenjiao Feng, Mohsen Guizani, Hongfang Yu:
TPI-LLM: Serving 70B-scale LLMs Efficiently on Low-resource Edge Devices. - Francisco Nunes Ferreira Quialheiro Simoes, Mehdi Dastani, Thijs van Ommen:
Optimal Causal Representations and the Causal Information Bottleneck. - Franco Barbanera, Mariangiola Dezani-Ciancaglini, Ugo de'Liguoro:
Partial Typing for Asynchronous Multiparty Sessions. 1-20 - Clemens Grabmayer:
From Compactifying Lambda-Letrec Terms to Recognizing Regular-Expression Processes. 21-41 - Hsi-Ming Ho, Khushraj Madnani:
When Do You Start Counting? Revisiting Counting and Pnueli Modalities in Timed Logics. 73-89 - Shinya Sato:
Conditional Nested Pattern Matching in Interaction Net. 90-106 - Federico Vastarini, Detlef Plump:
Random Graph Generation in Context-Free Graph Languages. 107-120 - Kristian Schwethelm, Johannes Kaiser, Jonas Kuntzer, Mehmet Yigitsoy, Daniel Rueckert, Georgios Kaissis:
Differentially Private Active Learning: Balancing Effective Data Selection and Privacy. - Victor Sabanza Gil, Riccardo Barbano, Daniel Pacheco Gutiérrez, Jeremy S. Luterbacher, José Miguel Hernández-Lobato, Philippe Schwaller, Loïc Roch:
Best Practices for Multi-Fidelity Bayesian Optimization in Materials and Molecular Research. - Beatrice Savoldi, Sara Papi, Matteo Negri, Ana Guerberof, Luisa Bentivogli:
What the Harm? Quantifying the Tangible Impact of Gender Bias in Machine Translation with a Human-centered Study. - Elias Rojas Collins, Chris Köcher, Georg Zetzsche:
The complexity of separability for semilinear sets and Parikh automata. - Alberto Presta, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto:
STanH : Parametric Quantization for Variable Rate Learned Image Compression. - Ziyang Luo, Xin Li, Hongzhan Lin, Jing Ma, Lidong Bing:
AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code Generation. - Jie Cheng, Ruixi Qiao, Gang Xiong, Qinghai Miao, Yingwei Ma, Binhua Li, Yongbin Li, Yisheng Lv:
Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining. - Petr Kolman:
A Note on Approximation of Spanning Tree Congestion. - Carmen Scheidemann, Lennart Werner, Victor Reijgwart, Andrei Cramariuc, Joris Chomarat, Jia-Ruei Chiu, Roland Siegwart, Marco Hutter:
Obstacle-Avoidant Leader Following with a Quadruped Robot. - Daniel Ratiu, Tihomir Rohlinger, Torben Stolte, Stefan Wagner:
Towards an Argument Pattern for the Use of Safety Performance Indicators. - Aurora Micheli, Olaf Booij, Jan van Gemert, Nergis Tömen:
Deep activity propagation via weight initialization in spiking neural networks. - Pengxi Zeng, Alberto Presta, Jonah Reinis, Dinesh Bharadia, Hang Qiu, Pamela C. Cosman:
Can We Remove the Ground? Obstacle-aware Point Cloud Compression for Remote Object Detection. - Kaiwen Yang, Hao Xu, Yunqing Sun, Jiacheng Qian, Zihan Zhou, Xiaoshuai Zhang, Erwu Liu, Lei Zhang, Chih-Lin I:
A Mathematical Theory of Hyper-simplex Fractal Network for Blockchain: Part I. - Shailendra K. Rathor, Martin Ziegler, Jörg Schumacher:
Asymmetrically connected reservoir networks learn better. - Geng Li, Haozhi Cao, Mingyang Liu, Shenghai Yuan, Jianfei Yang:
GERA: Geometric Embedding for Efficient Point Registration Analysis. - Wen Lai, Viktor Hangya, Alexander Fraser:
Style-Specific Neurons for Steering LLMs in Text Style Transfer. - Amir Omeradzic, Hans-Georg Beyer:
On the Interaction of Adaptive Population Control with Cumulative Step-Size Adaptation. - Lien Bosmans, Jari Peeperkorn, Alexandre Goossens, Giovanni Lugaresi, Johannes De Smedt, Jochen De Weerdt:
Dynamic and Scalable Data Preparation for Object-Centric Process Mining. - Lena Carta, Lukas Drexler, Annika Hennes, Clemens Rösner, Melanie Schmidt:
FPT Approximations for Fair k-Min-Sum-Radii. - Ashwin Prasad Shivarpatna Venkatesh, Rose Sunil, Samkutty Sabu, Amir M. Mir, Sofia Reis, Eric Bodden:
An Empirical Study of Large Language Models for Type and Call Graph Analysis. - Atoosa Kasirzadeh:
Measurement challenges in AI catastrophic risk governance and safety frameworks. - Léon-Paul Schaub Torre, Pelayo Quirós, Helena García Mieres:
Detección Automática de Patologías en Notas Clínicas en Español Combinando Modelos de Lenguaje y Ontologías Médicos. - Arvin Delavari, Faraz Ghoreishy, Hadi Shahriar Shahhoseini, Sattar Mirzakuchaki:
A Reconfigurable Approximate Computing RISC-V Platform for Fault-Tolerant Applications. - Mario Ccallo, Alex Quispe-Quispe:
Adoption and Adaptation of CI/CD Practices in Very Small Software Development Entities: A Systematic Literature Review. - Shunyi Zhao, Zehuan Yu, Zuxin Fan, Zhihao Zhou, Lecheng Ruan, Qining Wang:
An Illumination-Robust Feature Extractor Augmented by Relightable 3D Reconstruction. - Marcel C. Bühler, Gengyan Li, Erroll Wood, Leonhard Helminger, Xu Chen, Tanmay Shah, Daoye Wang, Stephan J. Garbin, Sergio Orts-Escolano, Otmar Hilliges, Dmitry Lagun, Jérémy Riviere, Paulo F. U. Gotardo, Thabo Beeler, Abhimitra Meka, Kripasindhu Sarkar:
Cafca: High-quality Novel View Synthesis of Expressive Faces from Casual Few-shot Captures. - Patrick Joly, Maryna Kachanovska, Zoïs Moitier:
High-order numerical integration on self-affine sets. - June Gorostidi, Adem Ait, Jordi Cabot, Javier Luis Cánovas Izquierdo:
On the Creation of Representative Samples of Software Repositories. - Dorde Nedeljkovic:
Cross-Camera Data Association via GNN for Supervised Graph Clustering. - Francesco Quaglia:
PARSIR: a Package for Effective Parallel Discrete Event Simulation on Multi-processor Machines. - Liangzu Peng, Juan Elenter, Joshua Agterberg, Alejandro Ribeiro, René Vidal:
ICL-TSVD: Bridging Theory and Practice in Continual Learning with Pre-trained Models. - Saswati Bhattacharjee, Anirban Sinha, Chinwe Ekenna:
LASMP: Language Aided Subset Sampling Based Motion Planner. - Matteo Paltenghi, Michael Pradel:
A Survey on Testing and Analysis of Quantum Software. - Roan Schellingerhout:
Explainable Multi-Stakeholder Job Recommender Systems. - Maria Khodorchenko, Nikolay Butakov, Maxim Zuev, Denis A. Nasonov:
AutoTM 2.0: Automatic Topic Modeling Framework for Documents Analysis. - Pradip Pramanick, Silvia Rossi:
Multimodal Coherent Explanation Generation of Robot Failures. - Max Wasserman, Gonzalo Mateos:
Stabilizing the Kumaraswamy Distribution. - Maisha Boteju, Thilina Ranbaduge, Dinusha Vatsalan, Nalin A. G. Arachchilage:
Integrating PETs into Software Applications: A Game-Based Learning Approach. - Simon Jacobsson, Lars Swijsen, Joeri Van der Veken, Nick Vannieuwenhoven:
Warped geometries of Segre-Veronese manifolds. - Xinhao Yang, Guangyu Zhang, Xiaodong Lu, Yuan Zhang, Jian Kang:
Contribution of soundscape appropriateness to soundscape quality assessment in space: a mediating variable affecting acoustic comfort. - Taija Kolehmainen, Reetta Ghezzi, Sami Hyrynsalmi, Tommi Mikkonen, Samuli Pekkola, Manu Setälä:
Unifying a Public Software Ecosystem: How Omaolo Responded to the COVID-19 Challenge. - Youngho Yoon, Hyun-Kurl Jang, Kuk-Jin Yoon:
GMT: Enhancing Generalizable Neural Rendering via Geometry-Driven Multi-Reference Texture Transfer. - Kangfeng Ye, Roberto Metere, Poonam Yadav:
User-Guided Verification of Security Protocols via Sound Animation. - Cory D. Hauck, M. Paul Laiu, Stefan Schnake:
On high-order/low-order and micro-macro methods for implicit time-stepping of the BGK model. - Mazen Balat, Rewaa Awaad, Hend Adel, Ahmed B. Zaky, Salah A. Aly:
Advanced Arabic Alphabet Sign Language Recognition Using Transfer Learning and Transformer Models. - Jiyoon Myung, Jihyeon Park, Jungki Son, Kyungro Lee, Joohyung Han:
Efficient Technical Term Translation: A Knowledge Distillation Approach for Parenthetical Terminology Translation. - Yongli Hou, Yi Liu, Tengjin Zhao:
High-order primal mixed finite element method for boundary-value correction on curved domain. - William Bergeron, Matthew Hubbell, Daniel Mojica, Albert Reuther, William Arcand, David Bestor, Daniel Burrill, Chansup Byun, Vijay Gadepally, Michael Houle, Hayden Jananthan, Michael Jones, Piotr Luszczek, Peter Michaleas, Lauren Milechin, Julie Mullen Andrew Prout, Antonio Rosa, Charles Yee, Jeremy Kepner:
Supercomputer 3D Digital Twin for User Focused Real-Time Monitoring. - Ruhana Azam, Tamer Abuelsaad, Aditya Vempaty, Ashish Jagmohan:
Multimodal Auto Validation For Self-Refinement in Web Agents. - Quan Nguyen, Nishant A. Mehta, Cristóbal Guzmán:
Beyond Minimax Rates in Group Distributionally Robust Optimization via a Novel Notion of Sparsity. - Yuan-Yao Lou, Jonathan C. Spencer, Kwang Taik Kim, Mung Chiang:
E-MPC: Edge-assisted Model Predictive Control. - Mari Paz Calvo, Jesús María Sanz-Serna, Beibei Zhu:
Stroboscopic averaging methods to study autoresonance and other problems with slowly varying forcing frequencies. - Ruoxi Chong, Shuangyang Li, Zhiqiang Wei, Michail Matthaiou, Derrick Wing Kwan Ng, Giuseppe Caire:
Analysis of Cross-Domain Message Passing for OTFS Transmissions. - Jing Luo, Huiyuan Wang, Weiran Huang:
Investigating the Impact of Model Complexity in Large Language Models. - Saurav Jha, Shiqi Yang, Masato Ishii, Mengjie Zhao, Christian Simon, Muhammad Jehanzeb Mirza, Dong Gong, Lina Yao, Shusuke Takahashi, Yuki Mitsufuji:
Mining Your Own Secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models. - Raktim Gautam Goswami, Naman Patel, Prashanth Krishnamurthy, Farshad Khorrami:
FlashMix: Fast Map-Free LiDAR Localization via Feature Mixing and Contrastive-Constrained Accelerated Training. - Zhexuan Zeng, Jun Zhou, Yasen Wang, Zuowei Ping:
Koopman Spectral Analysis from Noisy Measurements based on Bayesian Learning and Kalman Smoothing. - Vihang Patil, Markus Hofmarcher, Elisabeth Rumetshofer, Sepp Hochreiter:
Contrastive Abstraction for Reinforcement Learning. - Xingdou Fu, Lin Miao, Yasuhiro Ohnishi, Yuki Hasegawa, Masaki Suwa:
A Low-Cost, High-Speed, and Robust Bin Picking System for Factory Automation Enabled by a Non-Stop, Multi-View, and Active Vision Scheme. - Álvaro Heredia-Lidón, Luis Miguel Echeverry-Quiceno, Alejandro González, Noemí Hostalet, Edith Pomarol-Clotet, Juan Fortea, Mar Fatjó-Vilas, Neus Martínez-Abadías, Xavier Sevillano:
BioFace3D: A fully automatic pipeline for facial biomarkers extraction of 3D face reconstructions segmented from MRI. - Kaichen Zhou, Yang Cao, Taewhan Kim, Hao Zhao, Hao Dong, Kai Ming Ting, Ye Zhu:
RAD: A Dataset and Benchmark for Real-Life Anomaly Detection with Robotic Observations. - Pingbang Hu, Mahito Sugiyama:
Pseudo-Non-Linear Data Augmentation via Energy Minimization. - Vahid Shahverdi, Giovanni Luca Marchetti, Kathlén Kohn:
On the Geometry and Optimization of Polynomial Convolutional Networks. - Meiby Ortiz-Bouza, Selin Aviyente:
Discriminative community detection for multiplex networks. - Robert Mahari, Sandro Claudio Lera:
Early Career Citations Capture Judicial Idiosyncrasies and Predict Judgments. - Till Hofmann, Jens Claßen:
LTLf Synthesis on First-Order Action Theories. - Beatriz Feliciano, Rita Costa, Jean V. Alves, Javier Liébana, Diogo Duarte, Pedro Bizarro:
"Show Me What's Wrong!": Combining Charts and Text to Guide Data Analysis. - Vihang Patil, Andreas Radler, Daniel Klotz, Sepp Hochreiter:
Simplified priors for Object-Centric Learning. - Lakshmi Nair:
Improved Generation of Synthetic Imaging Data Using Feature-Aligned Diffusion. - Marco Job, Thomas Stastny, Tim Kazik, Roland Siegwart, Michael Pantic:
Radar Meets Vision: Robustifying Monocular Metric Depth Prediction for Mobile Robotics. - Paula Carolina Lozano Duarte, Florentia Afentaki, Georgios Zervakis, Mehdi B. Tahoori:
Design and In-training Optimization of Binary Search ADC for Flexible Classifiers. - Jiapeng Wang, Chengyu Wang, Kunzhe Huang, Jun Huang, Lianwen Jin:
VideoCLIP-XL: Advancing Long Description Understanding for Video CLIP Models. - Ramón María García Alarcia, Alessandro Golkar:
Optimizing Token Usage on Large Language Model Conversations Using the Design Structure Matrix. - Stephen Meisenbacher, Florian Matthes:
Thinking Outside of the Differential Privacy Box: A Case Study in Text Privatization with Language Model Prompting. - Kush Jain, Gabriel Synnaeve, Baptiste Rozière:
TestGenEval: A Real World Unit Test Generation and Test Completion Benchmark. - Rui Tang, Shirong Guo, Yuhang Qiu, Honghui Chen, Lujin Huang, Ming Yong, Linfu Zhou, Liquan Guo:
Optimizing Drug Delivery in Smart Pharmacies: A Novel Framework of Multi-Stage Grasping Network Combined with Adaptive Robotics Mechanism. - Siddharth Singh, Tian Xu, Qing Chang:
Collaborative motion planning for multi-manipulator systems through Reinforcement Learning and Dynamic Movement Primitives. - William Dubois, Nicolas Samson, Effie Daum, Johann Laconte, François Pomerleau:
Under Pressure: Altimeter-Aided ICP for 3D Maps Consistency. - Tommaso Ferracci, Leonie Tabea Goldmann, Anton Hinel, Francesco Sanna Passino:
Targeted synthetic data generation for tabular data via hardness characterization. - Trung Dang, David Aponte, Dung N. Tran, Tianyi Chen, Kazuhito Koishida:
Zero-Shot Text-to-Speech from Continuous Text Streams. - Robert Krajewski, Huijo Kim:
DeepAerialMapper: Deep Learning-based Semi-automatic HD Map Creation for Highly Automated Vehicles. - Chen Cai, Zheng Wang, Jianjun Gao, Wenyang Liu, Ye Lu, Runzhong Zhang, Kim-Hui Yap:
Empowering Large Language Model for Continual Video Question Answering with Collaborative Prompting. - Wenwen Qiang, Zeen Song, Ziyin Gu, Jiangmeng Li, Changwen Zheng, Fuchun Sun, Hui Xiong:
On the Generalization and Causal Explanation in Self-Supervised Learning. - Xuwu Wang, Qiwen Cui, Yunzhe Tao, Yiran Wang, Ziwei Chai, Xiaotian Han, Boyi Liu, Jianbo Yuan, Jing Su, Guoyin Wang, Tingkai Liu, Liyu Chen, Tianyi Liu, Tao Sun, Yufeng Zhang, Sirui Zheng, Quanzeng You, Yang Yang, Hongxia Yang:
BabelBench: An Omni Benchmark for Code-Driven Analysis of Multimodal and Multistructured Data. - Hyogo Hiruma, Hiroshi Ito, Tetusya Ogata:
Adaptive Motion Generation Using Uncertainty-Driven Foresight Prediction. - Paloma Piot, Javier Parapar:
Decoding Hate: Exploring Language Models' Reactions to Hate Speech. - Victoria Vziatysheva, Mykola Makhortykh, Maryna Sydorova, Vihang Jumle:
Google, How Should I Vote? How Users Formulate Search Queries to Find Political Information on Search Engines. - Mostafa Hajighasemloua, Samad Sheikhaei, Hamid Soltanian-Zadeh:
Local-to-Global Self-Supervised Representation Learning for Diabetic Retinopathy Grading. - Antoine Houssard, Floriana Gargiulo, Gabriele Di Bona, Tommaso Venturini, Paola Tubaro:
The Risks of Scientific Gerontocracy. - Joonas Ahola, Iván Blanco-Chacón, Wilmar Bolaños, Antti Haavikko, Camilla Hollanti, Rodrigo Martín Sánchez-Ledesma:
Fast Multiplication and the PLWE-RLWE Equivalence for an Infinite Family of Cyclotomic Subextensions. - Nicolas Christianson, Wenqi Cui, Steven H. Low, Weiwei Yang, Baosen Zhang:
Fast and Reliable N-k Contingency Screening with Input-Convex Neural Networks. - Gabin Schieffer, Ruimin Shi, Stefano Markidis, Andreas Herten, Jennifer Faj, Ivy Peng:
Understanding Data Movement in AMD Multi-GPU Systems with Infinity Fabric. - Gabriele Spadaro, Marco Grangetto, Attilio Fiandrotti, Enzo Tartaglione, Jhony H. Giraldo:
WiGNet: Windowed Vision Graph Neural Network. - Yun Liu, Xuechen Liu, Junichi Yamagishi:
Improving curriculum learning for target speaker extraction with synthetic speakers. - Richard Antonello, Chandan Singh, Shailee Jain, Aliyah R. Hsu, Jianfeng Gao, Bin Yu, Alexander Huth:
A generative framework to bridge data-driven models and scientific theories in language neuroscience. - Dietmar Saupe, Krzysztof Rusek, David Hägele, Daniel Weiskopf, Lucjan Janowski:
Maximum entropy and quantized metric models for absolute category ratings. - Jiliang Hu, Zuchao Li, Ping Wang, Haojun Ai, Lefei Zhang, Hai Zhao:
VHASR: A Multimodal Speech Recognition System With Vision Hotwords. - Rinor Cakaj, Jens Mehnert, Bin Yang:
Squeeze-and-Remember Block. - Tristan Laan, Tiziano De Matteis:
Developing a BLAS library for the AMD AI Engine. - Gareth Hardwick, Senwei Liang, Haizhao Yang:
Solving High-Dimensional Partial Integral Differential Equations: The Finite Expression Method. - Manh Khoi Duong, Stefan Conrad:
Towards Fairness and Privacy: A Novel Data Pre-processing Optimization Framework for Non-binary Protected Attributes. - Nathaniel Harms, Artur Riazanov:
Better Boosting of Communication Oracles, or Not. - Abhinav Kumar, Thomas Power, Fan Yang, Sergio Aguilera Marinovic, Soshi Iba, Rana Soltani-Zarrin, Dmitry Berenson:
Diffusion-Informed Probabilistic Contact Search for Multi-Finger Manipulation. - Zhenyi Zhang, Tiejun Li, Peijie Zhou:
Learning Stochastic Dynamics from Snapshots through Regularized Unbalanced Optimal Transport. - Qiyu Liu, Siyuan Han, Yanlin Qi, Jingshu Peng, Jin Li, Longlong Lin, Lei Chen:
Why Are Learned Indexes So Effective but Sometimes Ineffective? - Xingzhou Lou, Dong Yan, Wei Shen, Yuzi Yan, Jian Xie, Junge Zhang:
Uncertainty-aware Reward Model: Teaching Reward Models to Know What is Unknown. - Prajit T. Rajendran, Samira Afzal, Vignesh V. Menon, Christian Timmerer:
Energy-Quality-aware Variable Framerate Pareto-Front for Adaptive Video Streaming. - Reshmi Ghosh, Rahul Seetharaman, Hitesh Wadhwa, Somyaa Aggarwal, Samyadeep Basu, Soundararajan Srinivasan, Wenlong Zhao, Shreyas Chaudhari, Ehsan Aghazadeh:
Quantifying reliance on external information over parametric knowledge during Retrieval Augmented Generation (RAG) using mechanistic analysis. - Daniel Pfrommer, Swati Padmanabhan, Kwangjun Ahn, Jack Umenberger, Tobia Marcucci, Zakaria Mhammedi, Ali Jadbabaie:
Improved Sample Complexity of Imitation Learning for Barrier Model Predictive Control. - Noah Kader, Inwon Kang, Oshani Seneviratne:
Enhancing Web Spam Detection through a Blockchain-Enabled Crowdsourcing Mechanism. - Stefano Calzavara, Lorenzo Cazzaro, Massimo Vettori:
Timber! Poisoning Decision Trees. - Eleftheria Briakou, Zhongtao Liu, Colin Cherry, Markus Freitag:
On the Implications of Verbose LLM Outputs: A Case Study in Translation Evaluation. - Hana Habib, Sara Elsharawy, Rifat Rahman:
"I don't trust them": Exploring Perceptions of Fact-checking Entities for Flagging Online Misinformation. - Bo Liu, Mao Ye, Peter Stone, Qiang Liu:
Fine-Grained Gradient Restriction: A Simple Approach for Mitigating Catastrophic Forgetting. - Yunze Liu, Li Yi:
MAP: Unleashing Hybrid Mamba-Transformer Vision Backbone's Potential with Masked Autoregressive Pretraining. - Megan Wei, Michael Freeman, Chris Donahue, Chen Sun:
Do Music Generation Models Encode Music Theory? - Zahra Ashktorab, Michael Desmond, Qian Pan, James M. Johnson, Martin Santillan Cooper, Elizabeth M. Daly, Rahul Nair, Tejaswini Pedapati, Swapnaja Achintalwar, Werner Geyer:
Aligning Human and LLM Judgments: Insights from EvalAssist on Task-Specific Evaluations and AI-assisted Assessment Strategy Preferences. - Amy Ancelotti, Claudia Liason:
Review of blockchain application with Graph Neural Networks, Graph Convolutional Networks and Convolutional Neural Networks. - Sharmishtha Dutta, Alex Gittens, Mohammed J. Zaki, Charu C. Aggarwal:
Replacing Paths with Connection-Biased Attention for Knowledge Graph Completion. - Yixin Liu, Arielle Carr, Lichao Sun:
Empirical Perturbation Analysis of Linear System Solvers from a Data Poisoning Perspective. - Ti-Chung Cheng, Carmen Badea, Christian Bird, Thomas Zimmermann, Robert DeLine, Nicole Forsgren, Denae Ford:
GEMS: Generative Expert Metric System through Iterative Prompt Priming. - Andreas Göbel, Marcus Pappik:
Lazy brute-force sampling: A universal perfect sampling scheme from Markov chains. - Chao Zhang, Angela Bonifati, M. Tamer Özsu:
Low-Latency Sliding Window Connectivity. - Junlin Han, Jianyuan Wang, Andrea Vedaldi, Philip Torr, Filippos Kokkinos:
Flex3D: Feed-Forward 3D Generation With Flexible Reconstruction Model And Input View Curation. - Zahra Rostamikafaki, François Chan, Claude D'Amours:
Outage-Constrained Sum Secrecy Rate Maximization for STAR-RIS with Energy-Harvesting Eavesdroppers. - Baihan Lin:
The Gradient of Health Data Privacy. - Robin Gerster, Holger Caesar, Matthias Rapp, Alexander Wolpert, Michael Teutsch:
OSSA: Unsupervised One-Shot Style Adaptation. - Yuheng Li, Haotian Liu, Mu Cai, Yijun Li, Eli Shechtman, Zhe Lin, Yong Jae Lee, Krishna Kumar Singh:
Removing Distributional Discrepancies in Captions Improves Image-Text Alignment. - Kowe Kadoma, Danaë Metaxa, Mor Naaman:
Generative AI and Perceptual Harms: Who's Suspected of using LLMs? - Hongyin Luo, Wei Sun:
Addition is All You Need for Energy-efficient Language Models. - Da-Wei Zhou, Zi-Wen Cai, Han-Jia Ye, Lijun Zhang, De-Chuan Zhan:
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning. - Chen Huang, Guoxiu He:
Text Clustering as Classification with LLMs. - Min Xian, Tao Wang, Sai Zhang, Fei Xu, Zhegang Ma:
A Knowledge-Informed Large Language Model Framework for U.S. Nuclear Power Plant Shutdown Initiating Event Classification for Probabilistic Risk Assessment. - Subhadip Boral, Rikathi Pal, Ashish Ghosh:
ACEV: Unsupervised Intersecting Manifold Segmentation using Adaptation to Angular Change of Eigenvectors in Intrinsic Dimension. - Sheng Wang, Liheng Chen, Pengan Chen, Jingwei Dong, Boyang Xue, Jiyue Jiang, Lingpeng Kong, Chuan Wu:
MoS: Unleashing Parameter Efficiency of Low-Rank Adaptation with Mixture of Shards. - Uchenna Nzenwata, Daniel Ogbuigwe:
Automatic Speech Recognition for the Ika Language. - Akedjou Achraff Adjileye:
RisingBALLER: A player is a token, a match is a sentence, A path towards a foundational model for football players data analytics. - Sunbochen Tang, Themistoklis Sapsis, Navid Azizan:
Learning Chaotic Dynamics with Embedded Dissipativity. - Jacob Morrier, Amine Mahmassani, R. Michael Alvarez:
Uncovering the Viral Nature of Toxicity in Competitive Online Video Games. - Shuting Zhao, Chenkang Du, Kristin Qi, Xinrong Chen, Xinhan Di:
Towards Full-parameter and Parameter-efficient Self-learning For Endoscopic Camera Depth Estimation. - Panagiota Anastasopoulou, Jessica Torrey, Xavier Serra, Frederic Font:
Heterogeneous sound classification with the Broad Sound Taxonomy and Dataset. - Liang Shi, Boyu Jiang, Feng Guo:
ScVLM: a Vision-Language Model for Driving Safety Critical Event Understanding. - Can Chen, Christopher Beckham, Zixuan Liu, Xue (Steve) Liu, Christopher Pal:
Robust Guided Diffusion for Offline Black-Box Optimization. - Alessandro Lovo, Amaury Lancelin, Corentin Herbert, Freddy Bouchet:
Tackling the Accuracy-Interpretability Trade-off in a Hierarchy of Machine Learning Models for the Prediction of Extreme Heatwaves. - Kenan Tang, Peiyang Song, Yao Qin, Xifeng Yan:
Creative and Context-Aware Translation of East Asian Idioms with GPT-4. - Jian Yang, Xukun Wang, Wentao Wang, Guoming Li, Qihang Fang, Ruihong Yuan, Tianyang Wang, Zhaoxin Fan:
LaDTalk: Latent Denoising for Synthesizing Talking Head Videos with High Frequency Details. - Y. Jennifer Sun, Zhou Lu:
Tight Rates for Bandit Control Beyond Quadratics. - Yuxuan Hou, Jianrong Zhang, Hua Chen, Min Zhou, Faxin Yu, Hehe Fan, Yi Yang:
CktGen: Specification-Conditioned Analog Circuit Generation. - Karl Bringmann, Kasper Green Larsen, André Nusser, Eva Rotenberg, Yanheng Wang:
Approximating Klee's Measure Problem and a Lower Bound for Union Volume Estimation. - Chengfei Wu, Dan Goldwasser:
"Hiding in Plain Sight": Designing Synthetic Dialog Generation for Uncovering Socially Situated Norms. - Muhammad Hamza Sharif, Muzammal Naseer, Mohammad Yaqub, Min Xu, Mohsen Guizani:
Y-CA-Net: A Convolutional Attention Based Network for Volumetric Medical Image Segmentation. - Suhas Kannam, Yuri Yang, Aarya Dharm, Kevin Lin:
Code Interviews: Design and Evaluation of a More Authentic Assessment for Introductory Programming Assignments. - Minxuan Duan, Yinlong Qian, Lingyi Zhao, Zihao Zhou, Zeeshan Rasheed, Rose Yu, Khurram Shafique:
Back to Bayesics: Uncovering Human Mobility Distributions and Anomalies with an Integrated Statistical and Neural Framework. - Lisa Egede, Leslie Coney, Brittany Johnson, Christina N. Harrington, Denae Ford:
"For Us By Us": Intentionally Designing Technology for Lived Black Experiences. - Mona Esmaeili, Morteza Rahimi, Hadise Pishdast, Dorsa Farahmandazad, Matin Khajavi, Hadi Jabbari Saray:
Machine Learning-Assisted Intrusion Detection for Enhancing Internet of Things Security. - Iván Blanco-Chacón, Raúl Durán Díaz, Rodrigo Martín Sánchez-Ledesma:
A Generalized Approach to Root-based Attacks against PLWE. - Mahya Mohammadi Kashani, Tobias John, Jeremy Coffelt, Einar Broch Johnsen, Andrzej Wasowski:
Risk-Averse Planning and Plan Assessment for Marine Robots. - Qingyang Li, Weimao Ke:
Investigating the Synergistic Effects of Dropout and Residual Connections on Language Model Training. - Xavier Juanola, Gloria Haro, Magdalena Fuentes:
A Critical Assessment of Visual Sound Source Localization Models Including Negative Audio. - Rüdiger Ehlers, Ayrat Khalimov:
A Naturally-Colored Translation from LTL to Parity and COCOA. - Jiwan Chung, Seungwon Lim, Jaehyun Jeon, Seungbeen Lee, Youngjae Yu:
Can visual language models resolve textual ambiguity with visual cues? Let visual puns tell you! - Timo Braun, Anders Kvellestad, Riccardo De Bin:
GPTreeO: An R package for continual regression with dividing local Gaussian processes. - Deborah Etsenake, Meiyappan Nagappan:
Understanding the Human-LLM Dynamic: A Literature Survey of LLM Use in Programming Tasks. - Michael R. Metel, Peng Lu, Boxing Chen, Mehdi Rezagholizadeh, Ivan Kobyzev:
Draft on the Fly: Adaptive Self-Speculative Decoding using Cosine Similarity. - Prashanth Ravichandar, Lokesh Krishna, Nikhil Sobanbabu, Quan Nguyen:
Dynamic Bipedal Loco-manipulation using Oracle Guided Multi-mode Policies with Mode-transition Preference. - Rui-Yang Ju, Chun-Tse Chien, Enkaer Xieerke, Jen-Shiun Chiang:
FCE-YOLOv8: YOLOv8 with Feature Context Excitation Modules for Fracture Detection in Pediatric Wrist X-ray Images. - Aditya Saligrama, Cody Ho, Benjamin Tripp, Michael Abbott, Christos Kozyrakis:
Teaching Cloud Infrastructure and Scalable Application Deployment in an Undergraduate Computer Science Program. - Alexandre St-Aubin, Amin Abyaneh, Hsiu-Chin Lin:
Single-Shot Learning of Stable Dynamical Systems for Long-Horizon Manipulation Tasks. - Rana Shahout, Eran Malach, Chunwei Liu, Weifan Jiang, Minlan Yu, Michael Mitzenmacher:
Don't Stop Me Now: Embedding Based Scheduling for LLMs. - Marco Gaido, Sara Papi, Luisa Bentivogli, Alessio Brutti, Mauro Cettolo, Roberto Gretter, Marco Matassoni, Mohamed Nabih, Matteo Negri:
MOSEL: 950,000 Hours of Speech Data for Open-Source Speech Foundation Model Training on EU Languages. - Karan Mahesh, Tyler M. Paine, Max L. Greene, Nicholas Rober, Steven Lee, Sildomar T. Monteiro, Anuradha Annaswamy, Michael R. Benjamin, Jonathan P. How:
Safe Autonomy for Uncrewed Surface Vehicles Using Adaptive Control and Reachability Analysis. - Tomas Goldsack, Yang Wang, Chenghua Lin, Chung-Chi Chen:
From Facts to Insights: A Study on the Generation and Evaluation of Analytical Reports for Deciphering Earnings Calls. - Zehui Zhou:
On the simultaneous recovery of two coefficients in the Helmholtz equation for inverse scattering problems via neural networks. - Dongwei Jiang, Guoxuan Wang, Yining Lu, Andrew Wang, Jingyu Zhang, Chuyu Liu, Benjamin Van Durme, Daniel Khashabi:
RATIONALYST: Pre-training Process-Supervision for Improving Reasoning. - Lucas Souza e Silva, Ali Akgunduz, Luis Rodrigues:
A Unified Approach for Optimal Cruise Airspeed with Variable Cost Index for Fuel-powered and All-electric Aircraft. - Massimiliano Iaschi, Baxi Chong, Tianyu Wang, Jianfeng Lin, Juntao He, Daniel Soto, Zhaochen Xu, Daniel I. Goldman:
Addition of a peristaltic wave improves multi-legged locomotion performance on complex terrains. - Zhenyu Yang, Shuo Huang, Han Feng, Ding-Xuan Zhou:
Spherical Analysis of Learning Nonlinear Functionals. - Daniel Hathcock, Guy Kortsarz, R. Ravi:
The Telephone k-Multicast Problem. - Esteban Flores, Baxi Chong, Daniel Soto, Dan Tatulescu, Daniel I. Goldman:
Steering Elongate Multi-legged Robots By Modulating Body Undulation Waves. - Johannes Lachner, Federico Tessari, A. Michael West Jr., Moses C. Nah, Neville Hogan:
Divide et Impera: Learning impedance families for peg-in-hole assembly. - Erin McGowan, Ethan Brewer, Claudio Silva:
ARPOV: Expanding Visualization of Object Detection in AR with Panoramic Mosaic Stitching. - Erik Teder, Baxi Chong, Juntao He, Tianyu Wang, Massimiliano Iaschi, Daniel Soto, Daniel I. Goldman:
Effective self-righting strategies for elongate multi-legged robots. - Steven Dahdah, James Richard Forbes:
Uncertainty Modelling and Robust Observer Synthesis using the Koopman Operator. - Jerry Yan, Chinmay Talegaonkar, Nicholas Antipa, Eric Terrill, Sophia T. Merrifield:
Pose Estimation of Buried Deep-Sea Objects using 3D Vision Deep Learning Models. - Weitong Zhang, Chengqi Zang, Bernhard Kainz:
Truth or Deceit? A Bayesian Decoding Game Enhances Consistency and Reliability. - Nacime Bouziani, Nicolas Boullé:
Structure-Preserving Operator Learning. - Ali Mohammadjafari, Anthony S. Maida, Raju Gottumukkala:
From Natural Language to SQL: Review of LLM-based Text-to-SQL Systems. - Eli Chien, Pan Li:
Convergent Privacy Loss of Noisy-SGD without Convexity and Smoothness. - Kaige Qu, Zixiong Qin, Weihua Zhuang:
Meta Learning Based Adaptive Cooperative Perception in Nonstationary Vehicular Networks. - Jan Leusmann, Steeven Villa, Thomas Liang, Chao Wang, Albrecht Schmidt, Sven Mayer:
An Approach to Elicit Human-Understandable Robot Expressions to Support Human-Robot Interaction. - Alexandra M. Jurgens, Nicolas Brodu:
Inferring Kernel ε-Machines: Discovering Structure in Complex Systems. - Stephanie O. Herrera, Tae Myung Huh, Dejan Milutinovic:
Two-Finger Soft Gripper Force Modulation via Kinesthetic Feedback. - Qiwei Peng, Anders Søgaard:
Concept Space Alignment in Multilingual LLMs. - Chiao-An Yang, Ziwei Liu, Raymond A. Yeh:
Deep Nets with Subsampling Layers Unwittingly Discard Useful Activations at Test-Time. - Xuyang Zhang, Jiaqi Jiang, Shan Luo:
RoTip: A Finger-Shaped Tactile Sensor with Active Rotation. - Jiawei Fan, Ming Zhu, Yingtao Jiang, Hualiang Teng:
Development of a Platform to Enable Real Time, Non-disruptive Testing and Early Fault Detection of Critical High Voltage Transformers and Switchgears in High Speed-rail. - Catherine Yeh, Donghao Ren, Yannick Assogba, Dominik Moritz, Fred Hohman:
Exploring Empty Spaces: Human-in-the-Loop Data Augmentation. - Peiran Wu, Che Liu, Canyu Chen, Jun Li, Cosmin I. Bercea, Rossella Arcucci:
FMBench: Benchmarking Fairness in Multimodal Large Language Models on Medical Tasks. - Brett Mullins, Miguel Fuentes, Yingtai Xiao, Daniel Kifer, Cameron Musco, Daniel Sheldon:
Efficient and Private Marginal Reconstruction with Local Non-Negativity. - Vlatko Spasev, Ivica Dimitrovski, Ivan Chorbev, Ivan Kitanovski:
Semantic Segmentation of Unmanned Aerial Vehicle Remote Sensing Images using SegFormer. - Megan Sumner, Vardan Saini, Matthew Guzdial:
Mechanic Maker: Accessible Game Development Via Symbolic Learning Program Synthesis. - Hanlong Wan, Jian Zhang, Yan Chen, Weili Xu, Fan Feng:
Generative AI Application for Building Industry. - Seohyun Song, Eunkyul Leah Jo, Yige Chen, Jeen-Pyo Hong, Kyuwon Kim, Jin Wee, Miyoung Kang, Kyungtae Lim, Jungyeul Park, Chulwoo Park:
Unlocking Korean Verbs: A User-Friendly Exploration into the Verb Lexicon. - Wenhao Zhan, Scott Fujimoto, Zheqing Zhu, Jason D. Lee, Daniel R. Jiang, Yonathan Efroni:
Exploiting Structure in Offline Multi-Agent RL: The Benefits of Low Interaction Rank. - Gilberto Briscoe-Martinez, Anuj Pasricha, Ava Abderezaei, Santosh Chaganti, Sarath Chandra Vajrala, Sri Kanth Popuri, Alessandro Roncone:
Exploring How Non-Prehensile Manipulation Expands Capability in Robots Experiencing Multi-Joint Failure. - Daniel Melcer, Sujan K. Gonugondla, Pramuditha Perera, Haifeng Qian, Wen-Hao Chiang, Yanjun Wang, Nihal Jain, Pranav Garg, Xiaofei Ma, Anoop Deoras:
Approximately Aligned Decoding. - Petar Velickovic, Christos Perivolaropoulos, Federico Barbero, Razvan Pascanu:
softmax is not enough (for sharp out-of-distribution). - Aniket Datar, Anuj Pokhrel, Mohammad Nazeri, Madhan B. Rao, Chenhui Pan, Yufan Zhang, Andre Harrison, Maggie B. Wigness, Philip R. Osteen, Jinwei Ye, Xuesu Xiao:
M2P2: A Multi-Modal Passive Perception Dataset for Off-Road Mobility in Extreme Low-Light Conditions. - Hayden S. Helm, Aranyak Acharyya, Brandon Duderstadt, Youngser Park, Carey E. Priebe:
Embedding-based statistical inference on generative models. - Enze Liu, Elisa Luo, Jian Chen Yan, Katherine Izhikevich, Stewart Grant, Deian Stefan, Geoffrey M. Voelker, Stefan Savage:
Count of Monte Crypto: Accounting-based Defenses for Cross-Chain Bridges. - Meni Brief, Oded Ovadia, Gil Shenderovitz, Noga Ben Yoash, Rachel Lemberg, Eitam Sheetrit:
Mixing It Up: The Cocktail Effect of Multi-Task Fine-Tuning on LLM Performance - A Case Study in Finance. - Yazhou Zhu, Minxian Li, Qiaolin Ye, Shidong Wang, Tong Xin, Haofeng Zhang:
RobustEMD: Domain Robust Matching for Cross-domain Few-shot Medical Image Segmentation. - Aaron Walsman, Muru Zhang, Adam Fishman, Ali Farhadi, Dieter Fox:
Learning to Build by Building Your Own Instructions. - Shuai Liu, Alex Ayoub, Flore Sentenac, Xiaoqi Tan, Csaba Szepesvári:
Almost Free: Self-concordance in Natural Exponential Families and an Application to Bandits. - Tanay Kumar, Raktim Bhattacharya:
Sparse Actuation for LPV Systems with Full-State Feedback in ℋ2/ ℋ∞ Framework. - Siavash H. Khajavi, Mehdi Moshtaghi, Dikai Yu, Zixuan Liu, Kary Främling, Jan Holmström:
Synthetic imagery for fuzzy object detection: A comparative study. - Zeyu Michael Li:
Using Interleaved Ensemble Unlearning to Keep Backdoors at Bay for Finetuning Vision Transformers. - Gilberto Díaz-García, Keith Paarporn, Jason R. Marden:
The Value of Compromising Strategic Intent in General Lotto Games. - Ilya Loshchilov, Cheng-Ping Hsieh, Simeng Sun, Boris Ginsburg:
nGPT: Normalized Transformer with Representation Learning on the Hypersphere. - Cooper Lorsung, Amir Barati Farimani:
Explain Like I'm Five: Using LLMs to Improve PDE Surrogate Models with Text. - Tomás Dodds, Astrid Vandendaele, Felix M. Simon, Natali Helberger, Valeria Resendez, Wang Ngai Yeung:
The Impact of Knowledge Silos on Responsible AI Practices in Journalism. - Deren Han, Jiaxin Xie:
A simple linear convergence analysis of the reshuffling Kaczmarz method. - Doohee You, Karim Lasri, Samuel Fraiberger:
Evaluating Deduplication Techniques for Economic Research Paper Titles with a Focus on Semantic Similarity using NLP and LLMs. - Han Zhang, Benjamin D. Killeen, Yu-Chun Ku, Lalithkumar Seenivasan, Yuxuan Zhao, Mingxu Liu, Yue Yang, Suxi Gu, Alejandro Martin-Gomez, Russell H. Taylor, Greg Osgood, Mathias Unberath:
StraightTrack: Towards Mixed Reality Navigation System for Percutaneous K-wire Insertion. - Yunhao Yang, Yuxin Hu, Mao Ye, Zaiwei Zhang, Zhichao Lu, Yi Xu, Ufuk Topcu, Ben Snyder:
Uncertainty-Guided Enhancement on Driving Perception System via Foundation Models. - Jingyu Hu, Jun Hong, Mengnan Du, Weiru Liu:
ProxiMix: Enhancing Fairness with Proximity Samples in Subgroups. - Muyang Li, Juming Xiong, Ruining Deng, Tianyuan Yao, Regina N. Tyree, Girish Hiremath, Yuankai Huo:
Automatic Image Unfolding and Stitching Framework for Esophageal Lining Video Based on Density-Weighted Feature Matching. - Tristan Luca Saidi, Abigail Hickok, Andrew J. Blumberg:
Recovering Manifold Structure Using Ollivier-Ricci Curvature. - Anthony Y. Zhou, Zijie Li, Michael Schneier, John R. Buchanan Jr., Amir Barati Farimani:
Text2PDE: Latent Diffusion Models for Accessible Physics Simulation. - Siyi Liu, Yang Li, Jiang Li, Shan Yang, Yunshi Lan:
Unleashing the Power of Large Language Models in Zero-shot Relation Extraction via Self-Prompting. - Sadegh Farhang, William Hayes, Nick Murphy, Jonathan Neddenriep, Nicholas Tyris:
A Deep Learning Approach for Imbalanced Tabular Data in Advertiser Prospecting: A Case of Direct Mail Prospecting. - Panfeng Cao, Jian Wu:
GraphRevisedIE: Multimodal Information Extraction with Graph-Revised Network. - Zhijian Li, Stefan Larson, Kevin Leach:
Document Type Classification using File Names. - Chung-Chi Chen, Hiroya Takamura, Ichiro Kobayashi, Yusuke Miyao:
GADFA: Generator-Assisted Decision-Focused Approach for Opinion Expressing Timing Identification. - Lauren Levine, Amir Zeldes:
Unifying the Scope of Bridging Anaphora Types in English: Bridging Annotations in ARRAU and GUM. - Bryan Li, Samar Haider, Fiona Luo, Adwait Agashe, Chris Callison-Burch:
BordIRlines: A Dataset for Evaluating Cross-lingual Retrieval-Augmented Generation. - Amrita Bhattacharjee, Shaona Ghosh, Traian Rebedea, Christopher Parisien:
Towards Inference-time Category-wise Safety Steering for Large Language Models. - Yue Zhong, Jiawen Kang, Jinbo Wen, Dongdong Ye, Jiangtian Nie, Dusit Niyato, Xiaozheng Gao, Shengli Xie:
Generative Diffusion-based Contract Design for Efficient AI Twins Migration in Vehicular Embodied AI Networks. - Tian Tian, Chunyu Chen, He Liang, Huayi Wei:
Adaptive Finite Element Method for Phase Field Fracture Models Based on Recovery Error Estimates. - Hasnat Md Abdullah, Tian Liu, Kangda Wei, Shu Kong, Ruihong Huang:
UAL-Bench: The First Comprehensive Unusual Activity Localization Benchmark. - Mao Li, Frederick Conrad, Johann Gagnon-Bartsch:
FastLexRank: Efficient Lexical Ranking for Structuring Social Media Posts. - Jie Shen, Xiaoyu Li:
Efficient PAC Learning of Halfspaces with Constant Malicious Noise Rate. - Chengyuan Liu, Shihang Wang, Lizhi Qing, Kun Kuang, Yangyang Kang, Changlong Sun, Fei Wu:
Gold Panning in Vocabulary: An Adaptive Method for Vocabulary Expansion of Domain-Specific LLMs. - Rochana R. Obadage, Kumushini Thennakoon, Sarah Michele Rajtmajer, Jian Wu:
[Re] Network Deconvolution. - Jamie Mahowald, Benjamin Charles Germain Lee:
Integrating Visual and Textual Inputs for Searching Large-Scale Map Collections with CLIP. - Ethan Che, Jing Dong, Xin T. Tong:
Stochastic Gradient Descent with Adaptive Data. - Leo Feng, Frederick Tung, Mohamed Osama Ahmed, Yoshua Bengio, Hossein Hajimirsadeghi:
Were RNNs All We Needed? - Jingnan Gao, Zhuo Chen, Yichao Yan, Xiaokang Yang:
AniSDF: Fused-Granularity Neural Surfaces with Anisotropic Encoding for High-Fidelity 3D Reconstruction. - Xilong Wang, Hao Fu, Jindong Wang, Neil Zhenqiang Gong:
StringLLM: Understanding the String Processing Capability of Large Language Models. - Zhenyu Sun, Ziyang Zhang, Zheng Xu, Gauri Joshi, Pranay Sharma, Ermin Wei:
Debiasing Federated Learning with Correlated Client Participation. - Quang Vinh Nguyen, Thanh Hoang Son Vo, Sae-Ryung Kang, Soo-Hyung Kim:
Polyp-SES: Automatic Polyp Segmentation with Self-Enriched Semantic Model. - Weiye Zhao, Feihan Li, Yifan Sun, Yujie Wang, Rui Chen, Tianhao Wei, Changliu Liu:
Absolute State-wise Constrained Policy Optimization: High-Probability State-wise Constraints Satisfaction. - Yuling Shi, Songsong Wang, Chengcheng Wan, Xiaodong Gu:
From Code to Correctness: Closing the Last Mile of Code Generation with Hierarchical Debugging. - Wenbo Zhang, Yang Li, Yanyuan Qiao, Siyuan Huang, Jiajun Liu, Feras Dayoub, Xiao Ma, Lingqiao Liu:
Effective Tuning Strategies for Generalist Robot Manipulation Policies. - Saeed Mohseni-Sehdeh, Walid Saad:
Induced Covariance for Causal Discovery in Linear Sparse Structures. - Denis Los, Igor Petushkov:
Exploring Fine-grained Task Parallelism on Simultaneous Multithreading Cores. - Ashutosh Kumar:
Perceptual Piercing: Human Visual Cue-based Object Detection in Low Visibility Conditions. - Yiyu Zhuang, Yuxiao He, Jiawei Zhang, Yanwen Wang, Jiahe Zhu, Yao Yao, Siyu Zhu, Xun Cao, Hao Zhu:
Towards Native Generative Model for 3D Head Avatar. - Kenya S. Andrews, Mesrob I. Ohannessian, Elena Zheleva:
See Me and Believe Me: Causality and Intersectionality in Testimonial Injustice in Healthcare. - Yifan Qiao, Shu Anzai, Shan Yu, Haoran Ma, Yang Wang, Miryung Kim, Harry Xu:
ConServe: Harvesting GPUs for Low-Latency and High-Throughput Large Language Model Serving. - Wentao Wang, Yi Shen, Kaiyang Chen, Kaifan Lu:
Towards Efficient Moion Planning for UAVs: Lazy A* Search with Motion Primitives. - Shuo Yang, Jiadong Xie, Yingfan Liu, Jeffrey Xu Yu, Xiyue Gao, Qianru Wang, Yanguo Peng, Jiangtao Cui:
Revisiting the Index Construction of Proximity Graph-Based Approximate Nearest Neighbor Search. - Yuming Zhang, Peizhe Wang, Shouxin Zhang, Dongzhi Guan, Jiabin Liu, Junhao Su:
Replacement Learning: Training Vision Tasks with Fewer Learnable Parameters. - Lishan Zhang, Han Wu, Xiaoshan Huang, Tengfei Duan, Hanxiang Du:
Automatic deductive coding in discourse analysis: an application of large language models in learning analytics. - Haolin Jin, Zechao Sun, Huaming Chen:
RGD: Multi-LLM Based Agent Debugger via Refinement and Generation Guidance. - Anuj K. Nayak, Lav R. Varshney:
An Information Theory of Compute-Optimal Size Scaling, Emergence, and Plateaus in Language Models. - Xiaotian Lu, Jiyi Li, Koh Takeuchi, Hisashi Kashima:
AHP-Powered LLM Reasoning for Multi-Criteria Evaluation of Open-Ended Responses. - Zhihan Xiong, Maryam Fazel, Lin Xiao:
Dual Approximation Policy Optimization. - Shaozu Ding, Yihong Tang, Marco De Vincenzi, Dajiang Suo:
High and Low Resolution Tradeoffs in Roadside Multimodal Sensing. - Zhiwen Shao, Hancheng Zhu, Yong Zhou, Xiang Xiang, Bing Liu, Rui Yao, Lizhuang Ma:
Facial Action Unit Detection by Adaptively Constraining Self-Attention and Causally Deconfounding Sample. - Yunming Liao, Yang Xu, Hongli Xu, Zhiwei Yao, Liusheng Huang, Chunming Qiao:
ParallelSFL: A Novel Split Federated Learning Framework Tackling Heterogeneity Issues. - Zhilin Wang, Alexander Bukharin, Olivier Delalleau, Daniel Egert, Gerald Shen, Jiaqi Zeng, Oleksii Kuchaiev, Yi Dong:
HelpSteer2-Preference: Complementing Ratings with Preferences. - Hongjian Zhou, Keren Zhu, Jiaqi Gu:
Automated Curvy Waveguide Routing for Large-Scale Photonic Integrated Circuits. - Wenmo Qiu, Xinhan Di:
OCC-MLLM:Empowering Multimodal Large Language Model For the Understanding of Occluded Objects. - Conghan Yue, Zhengwei Peng, Shiyan Du, Zhi Ji, Dongyu Zhang:
Aggregation of Multi Diffusion Models for Enhancing Learned Representations. - Weimin Lyu, Jiachen Yao, Saumya Gupta, Lu Pang, Tao Sun, Lingjie Yi, Lijie Hu, Haibin Ling, Chao Chen:
Backdooring Vision-Language Models with Out-Of-Distribution Data. - Pohsun Feng, Ziqian Bi, Yizhu Wen, Xuanhe Pan, Benji Peng, Ming Liu, Jiawei Xu, Keyu Chen, Junyu Liu, Caitlyn Heqi Yin, Sen Zhang, Jinlang Wang, Qian Niu, Ming Li, Tianyang Wang:
Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Unveiling AI's Potential Through Tools, Techniques, and Applications. - Jeho Lee, Chanyoung Jung, Jiwon Kim, Hojung Cha:
Panopticus: Omnidirectional 3D Object Detection on Resource-constrained Edge Devices. - Jiale Zhang, Chengcheng Zhu, Bosen Rao, Hao Sui, Xiaobing Sun, Bing Chen, Chunyi Zhou, Shouling Ji:
"No Matter What You Do!": Mitigating Backdoor Attacks in Graph Neural Networks. - Suhwan Choi, Yongjun Cho, Minchan Kim, Jaeyoon Jung, Myunchul Joe, Yubeen Park, Minseo Kim, Sungwoong Kim, Sungjae Lee, Hwiseong Park, Jiwan Chung, Youngjae Yu:
CANVAS: Commonsense-Aware Navigation System for Intuitive Human-Robot Interaction. - Xavier F. Cadet, Anastasia Borovykh, Mohammad Malekzadeh, Sara Ahmadi-Abhari, Hamed Haddadi:
Deep Unlearn: Benchmarking Machine Unlearning. - Biagio Trimarchi, Fabrizio Schiano, Roberto Tron:
A Control Barrier Function Candidate for Limited Field of View Sensors. - Can Demircan, Tankred Saanum, Akshay K. Jagadish, Marcel Binz, Eric Schulz:
Sparse Autoencoders Reveal Temporal Difference Learning in Large Language Models. - Haomin Wen, Shurui Cao, Leman Akoglu:
Uncertainty-aware Human Mobility Modeling and Anomaly Detection. - Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng:
Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration. - Ameen Ali, Lior Wolf, Ivan Titov:
Mitigating Copy Bias in In-Context Learning through Neuron Pruning. - Haotian Lu, Ziang Yin, Partho Bhoumik, Sanmitra Banerjee, Krishnendu Chakrabarty, Jiaqi Gu:
The Unlikely Hero: Nonideality in Analog Photonic Neural Networks as Built-in Defender Against Adversarial Attacks. - Paul F. Christiano, Jacob Hilton, Andrea Lincoln, Eric Neyman, Mark Xu:
Towards a Law of Iterated Expectations for Heuristic Estimators. - Kevin Schott, Andrea Papenmeier, Daniel Hienert, Dagmar Kern:
What Did I Say Again? Relating User Needs to Search Outcomes in Conversational Commerce. - Yutaro Ishida, Yuki Noguchi, Takayuki Kanai, Kazuhiro Shintani, Hiroshi Bito:
Robust Imitation Learning for Mobile Manipulator Focusing on Task-Related Viewpoints and Regions. - Ahmed Tawfik Aboukhadra, Nadia Robertini, Jameel Malik, Ahmed Elhayek, Gerd Reis, Didier Stricker:
SurgeoNet: Realtime 3D Pose Estimation of Articulated Surgical Instruments from Stereo Images using a Synthetically-trained Network. - Brian R. Y. Huang, Maximilian Li, Leonard Tang:
Endless Jailbreaks with Bijection Learning. - Biao Zhang, Peter Wonka:
LaGeM: A Large Geometry Model for 3D Representation Learning and Diffusion. - Xiaoyu Zhang, Juan Zhai, Shiqing Ma, Chao Shen, Tianlin Li, Weipeng Jiang, Yang Liu:
Speculative Coreset Selection for Task-Specific Fine-tuning. - Franco Minucci, Raquel Marina Noguera Oishi, Haoqiu Xiong, Dieter Verbruggen, Cel Thys, Rizqi Hersyandika, Robbert Beerten, Achiel Colpaert, Vida Ranjbar, Sofie Pollin:
Building a real-time physical layer labeled data logging facility for 6G research. - Jarne Van Mulders, Benjamin J. B. Deutschmann, Geoffrey Ottoy, Lieven De Strycker, Liesbet Van der Perre, Thomas Wilding, Gilles Callebaut:
Single versus Multi-Tone Wireless Power Transfer with Physically Large Array. - Zilu Zhao, Dirk Slock:
Decentralized Expectation Propagation for Semi-Blind Channel Estimation in Cell-Free Networks. - Silvio Giancola, Anthony Cioppa, Bernard Ghanem, Marc Van Droogenbroeck:
Deep learning for action spotting in association football videos. - Roman Plaud, Matthieu Labeau, Antoine Saillenfest, Thomas Bonald:
Revisiting Hierarchical Text Classification: Inference and Metrics. - Abdur Rasool, Muhammad Irfan Shahzad, Hafsa Aslam, Vincent Chan:
Emotion-Aware Response Generation Using Affect-Enriched Embeddings with LLMs. - Mohit Bhatnagar:
FanCric : Multi-Agentic Framework for Crafting Fantasy 11 Cricket Teams. - Guanyu Cui, Zhewei Wei, Hsin-Hao Su:
Rethinking the Expressiveness of GNNs: A Computational Model Perspective. - Jiajun He, Gergely Flamich, José Miguel Hernández-Lobato:
Getting Free Bits Back from Rotational Symmetries in LLMs. - Vineet Jain, Tara Akhound-Sadegh, Siamak Ravanbakhsh:
Sampling from Energy-based Policies using Diffusion. - Ziyang Jiang, Pingchuan Ma, Meng Zhang, Zhaoran Rena Huang, Jiaqi Gu:
ADEPT-Z: Zero-Shot Automated Circuit Topology Search for Pareto-Optimal Photonic Tensor Cores. - Johannes Hertrich, Tim Jahn, Michael Quellmalz:
Fast Summation of Radial Kernels via QMC Slicing. - Jiyun Jang, Mincheol Chang, Jongwon Park, Jinkyu Kim:
Finetuning Pre-trained Model with Limited Data for LiDAR-based 3D Object Detection by Bridging Domain Gaps. - Maryam Ramezani, Hossein Goli, Amirmohammad Izadi, Hamid R. Rabiee:
Detecting Viral Social Events through Censored Observation with Deep Survival Analysis. - Debargha Ganguly, Warren Morningstar, Andrew Yu, Vipin Chaudhary:
Forte : Finding Outliers with Representation Typicality Estimation. - Jaeyoung Park, Minsu Kim, Steven Euijong Whang:
Fair Class-Incremental Learning using Sample Weighting. - Hogyun Kim, Byunghee Choi, Euncheol Choi, Younggun Cho:
ReFeree: Radar-Based Lightweight and Robust Localization using Feature and Free space. - Guangyu Zhu, Xidong Mu, Li Guo, Ao Huang, Shibiao Xu:
Enhancing User Fairness in Wireless Powered Communication Networks with STAR-RIS. - Alessio Russo, Alberto Maria Metelli, Marcello Restelli:
Efficient Learning of POMDPs with Known Observation Model in Average-Reward Setting. - Hang Chen, Jiaying Zhu, Xinyu Yang, Wenya Wang:
Unveiling Language Skills under Circuits. - Lucas Bandarkar, Benjamin Muller, Pritish Yuvraj, Rui Hou, Nayan Singhal, Hongjiang Lv, Bing Liu:
Layer Swapping for Zero-Shot Cross-Lingual Transfer in Large Language Models. - Andrea Carrara, Stavros Nousias, André Borrmann:
VectorGraphNET: Graph Attention Networks for Accurate Segmentation of Complex Technical Drawings. - Bocheng Zeng, Qi Wang, Mengtao Yan, Yang Liu, Ruizhi Chengze, Yi Zhang, Hongsheng Liu, Zidong Wang, Hao Sun:
PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems. - Zhaofeng Shi, Heqian Qiu, Lanxiao Wang, Fanman Meng, Qingbo Wu, Hongliang Li:
Cognition Transferring and Decoupling for Text-supervised Egocentric Semantic Segmentation. - Ricardo Garcia, Shizhe Chen, Cordelia Schmid:
Towards Generalizable Vision-Language Robotic Manipulation: A Benchmark and LLM-guided 3D Policy. - Alex Baranski, Jun Tani:
Life, uh, Finds a Way: Systematic Neural Search. - Yuguang Yang, Yu Pan, Jixun Yao, Xiang Zhang, Jianhao Ye, Hongbin Zhou, Lei Xie, Lei Ma, Jianjun Zhao:
Takin-VC: Zero-shot Voice Conversion via Jointly Hybrid Content and Memory-Augmented Context-Aware Timbre Modeling. - Jenny Drnevich, Frederick J. Tan, Fabricio Almeida-Silva, Robert Castelo, Aedín C. Culhane, Sean Davis, Maria A. Doyle, Susan Holmes, Leo Lahti, Alexandru Mahmoud, Kozo Nishida, Marcel Ramos, Kevin C. Rue-Albrecht, David J. H. Shih, Laurent Gatto, Charlotte Soneson:
Learning and teaching biological data science in the Bioconductor community. - Zhenyu Pan, Rongyu Cao, Yongchang Cao, Yingwei Ma, Binhua Li, Fei Huang, Han Liu, Yongbin Li:
Codev-Bench: How Do LLMs Understand Developer-Centric Code Completion? - Julian Neuberger, Han van der Aa, Lars Ackermann, Daniel Buschek, Jannic Herrmann, Stefan Jablonski:
Assisted Data Annotation for Business Process Information Extraction from Textual Documents. - Guoxia Wang, Jinle Zeng, Xiyuan Xiao, Siming Wu, Jiabin Yang, Lujing Zheng, Zeyu Chen, Jiang Bian, Dianhai Yu, Haifeng Wang:
FlashMask: Efficient and Rich Mask Extension of FlashAttention. - Junfeng Lyu, Feng Xu:
High-quality Animatable Eyelid Shapes from Lightweight Captures. - Shasha Guo, Lizi Liao, Jing Zhang, Cuiping Li, Hong Chen:
PCQPR: Proactive Conversational Question Planning with Reflection. - Yutian Zhang, Guohong Zheng, Zhiyuan Liu, Quan Li, Haipeng Zeng:
MARLens: Understanding Multi-agent Reinforcement Learning for Traffic Signal Control via Visual Analytics. - Kento Masui, Mayu Otani, Masahiro Nomura, Hideki Nakayama:
Harnessing the Latent Diffusion Model for Training-Free Image Style Transfer. - Zhe Wang, Tianjian Zhao, Zhen Zhang, Jiawei Chen, Sheng Zhou, Yan Feng, Chun Chen, Can Wang:
Towards Dynamic Graph Neural Networks with Provably High-Order Expressive Power. - Francesca Da Ros, Marie-Louise Lackner, Nysret Musliu:
Theoretical Lower Bounds for the Oven Scheduling Problem. - Seok Ki Moon, Milan Stanko:
A method to estimate well flowing gas-oil ratio and composition using pressure and temperature measurements across a production choke, a seed composition of oil and gas, and a thermodynamic simulator. - Alejandro Castañeda Garcia, Jan van Gemert, Daan Brinks, Nergis Tömen:
Learning Physics From Video: Unsupervised Physical Parameter Estimation for Continuous Dynamical Systems. - Jiyeon Kim, Hyunji Lee, Hyowon Cho, Joel Jang, Hyeonbin Hwang, Seungpil Won, Youbin Ahn, Dohaeng Lee, Minjoon Seo:
Knowledge Entropy Decay during Language Model Pretraining Hinders New Knowledge Acquisition. - Chao-Wei Huang, Yun-Nung Chen:
PairDistill: Pairwise Relevance Distillation for Dense Retrieval. - Yutian Zhang, Liwen Xu, Shaocong Tao, Quanxue Guan, Quan Li, Haipeng Zeng:
CSLens: Towards Better Deploying Charging Stations via Visual Analytics - A Coupled Networks Perspective. - Ioannis Mavromatis, Stefano De Feo, Aftab Khan:
FLAME: Adaptive and Reactive Concept Drift Mitigation for Federated Learning Deployments. - Toshiki Kindo:
Quantifying Cancer Likeness: A Statistical Approach for Pathological Image Diagnosis. - Michaël Soumm:
Causal Inference Tools for a Better Evaluation of Machine Learning. - Dongyang Li, Linyuan Wang, Guangwei Xiong, Bin Yan, Dekui Ma, Jinxian Peng:
Signal Adversarial Examples Generation for Signal Detection Network via White-Box Attack. - Mauro Bisiacco, Gianluigi Pillonetto:
Gaussian kernel expansion with basis functions uniformly bounded in ℒ∞. - Yeonsun Yang, Ahyeon Shin, Mincheol Kang, Jiheon Kang, Jean Y. Song:
Can We Delegate Learning to Automation?: A Comparative Study of LLM Chatbots, Search Engines, and Books. - Brendan Dijkstra, Ninad Jadhav, Alex Sloot, Matteo Marcantoni, Bayu Jayawardhana, Stephanie Gil, Bahar Haghighat:
WiFi-CSI Sensing and Bearing Estimation in Multi-Robot Systems: An Open-Source Simulation Framework. - Punyajoy Saha, Abhilash Datta, Abhik Jana, Animesh Mukherjee:
CrowdCounter: A benchmark type-specific multi-target counterspeech dataset. - Yu Zhang, Kehai Chen, Xuefeng Bai, Zhao Kang, Quanjiang Guo, Min Zhang:
Question-guided Knowledge Graph Re-scoring and Injection for Knowledge Graph Question Answering. - Cédric Join, D. Blair Jovellar, Emmanuel Delaleau, Michel Fliess:
Detection and suppression of epileptiform seizures via model-free control and derivatives in a noisy environment. - Hongru Yan, Yu Zheng, Yueqi Duan:
Gaussian-Det: Learning Closed-Surface Gaussians for 3D Object Detection. - Kevin Xu, Issei Sato:
On Expressive Power of Looped Transformers: Theoretical Analysis and Enhancement via Timestep Encoding. - Umair Nawaz, Muhammad Awais, Hanan Gani, Muzammal Naseer, Fahad Shahbaz Khan, Salman Khan, Rao Muhammad Anwer:
AgriCLIP: Adapting CLIP for Agriculture and Livestock via Domain-Specialized Cross-Model Alignment. - Jun Wang, Yu Mao, Nan Guan, Chun Jason Xue:
SHAP-CAT: A interpretable multi-modal framework enhancing WSI classification via virtual staining and shapley-value-based multimodal fusion. - Andy Trung Huynh, Benjamin Zwick, Mostafa Jamshidian, Michael Halle, Adam Wittek, Karol Miller:
Hexahedral mesh of anatomical atlas for construction of computational human brain models: Applications to modeling biomechanics and bioelectric field propagation. - Yan Huang, Wei Liu, Xiaogang Zang:
Improving Fuzzy Rule Classifier with Brain Storm Optimization and Rule Modification. - Sinhué García Gil, Luis Llana Díaz, José Ignacio Requeno Jarabo:
QCRMut: Quantum Circuit Random Mutant generator tool. - Hong Li, Nanxi Li, Yuanjie Chen, Jianbin Zhu, Qinlu Guo, Cewu Lu, Yong-Lu Li:
The Labyrinth of Links: Navigating the Associative Maze of Multi-modal LLMs. - Ella Gale, Leo Lobski, Fabio Zanasi:
Disconnection Rules are Complete for Chemical Reactions. - Md. Fahim Sikder, Daniel de Leng, Fredrik Heintz:
Fair4Free: Generating High-fidelity Fair Synthetic Samples using Data Free Distillation. - Yingdong Hu, Zhening Liu, Jiawei Shao, Zehong Lin, Jun Zhang:
EVA-Gaussian: 3D Gaussian-based Real-time Human Novel View Synthesis under Diverse Camera Settings. - Xingxuan Li, Weiwen Xu, Ruochen Zhao, Fangkai Jiao, Shafiq Joty, Lidong Bing:
Can We Further Elicit Reasoning in LLMs? Critic-Guided Planning with Retrieval-Augmentation for Solving Challenging Tasks. - Amber Cassimon, Siegfried Mercelis, Kevin Mets:
Scalable Reinforcement Learning-based Neural Architecture Search. - Minsu Kim, Sanghyeok Choi, Taeyoung Yun, Emmanuel Bengio, Leo Feng, Jarrid Rector-Brooks, Sungsoo Ahn, Jinkyoo Park, Nikolay Malkin, Yoshua Bengio:
Adaptive teachers for amortized samplers. - Philipp Mondorf, Sondre Wold, Barbara Plank:
Circuit Compositions: Exploring Modular Structures in Transformer-Based Language Models. - Ching-Chia Kao, Chia-Mu Yu, Chun-Shien Lu, Chu-Song Chen:
Information-Theoretical Principled Trade-off between Jailbreakability and Stealthiness on Vision Language Models. - Jinghan Li, Zhicheng Sun, Fei Li, Cao Sheng, Jiazhong Yu, Yadong Mu:
Closed-Loop Long-Horizon Robotic Planning via Equilibrium Sequence Modeling. - Arkadip Maitra, Shree Mitra, Siladittya Manna, Saumik Bhattacharya, Umapada Pal:
Decorrelation-based Self-Supervised Visual Representation Learning for Writer Identification. - Côme Allart, Jean-Roch Coulon, André Sintzoff, Olivier Potin, Jean-Baptiste Rigaud:
Using a Performance Model to Implement a Superscalar CVA6. - Jin Hwa Lee, Thomas Jiralerspong, Lei Yu, Yoshua Bengio, Emily Cheng:
Geometric Signatures of Compositionality Across a Language Model's Lifetime. - Dinh-Viet-Toan Le, Louis Bigo, Mikaela Keller:
Analyzing Byte-Pair Encoding on Monophonic and Polyphonic Symbolic Music: A Focus on Musical Phrase Segmentation. - Hong-Hsiang Liu, Yi-Wen Liu:
Agent-Driven Large Language Models for Mandarin Lyric Generation. - Oskar Nordenfors, Axel Flinth:
Ensembles provably learn equivariance through data augmentation. - Annalí Casanueva Artís, Davide Rossi, Stefano Zacchiroli, Théo Zimmermann:
The Impact of the COVID-19 Pandemic on Women's Contribution to Public Code. - Xingyu Ji, Jiale Liu, Lu Li, Maojun Wang, Zeyu Zhang:
Verbalized Graph Representation Learning: A Fully Interpretable Graph Model Based on Large Language Models Throughout the Entire Process. - Xiefeng Wu:
From Reward Shaping to Q-Shaping: Achieving Unbiased Learning with LLM-Guided Knowledge. - Nguyen Thi Minh Huong, Vo Quoc Bao, Nguyen Trung Hau, Huynh Quang Linh:
A Smart Chair for Health Monitoring in Daily Life. - Pengxin Guo, Shuang Zeng, Yanran Wang, Huijie Fan, Feifei Wang, Liangqiong Qu:
Selective Aggregation for Low-Rank Adaptation in Federated Learning. - Erwan Faou, Yoann Le Henaff:
A generalized spectral concentration problem and the varying masks algorithm. - Riccardo Brasca, Christopher Birkbeck, Eric Rodriguez Boidi, Alex J. Best, Ruben van De Velde, Andrew Yang:
A complete formalization of Fermat's Last Theorem for regular primes in Lean. - Hao Yuan, Xiaoping Xie:
A fast numerical scheme for fractional viscoelastic models of wave propagation. - Mohan Xu, Kai Li, Guo Chen, Xiaolin Hu:
TIGER: Time-frequency Interleaved Gain Extraction and Reconstruction for Efficient Speech Separation. - Andreea Iana, Goran Glavas, Heiko Paulheim:
Peeling Back the Layers: An In-Depth Evaluation of Encoder Architectures in Neural News Recommenders. - Osher Rafaeli, Tal Svoray, Ariel Nahlieli:
SinkSAM: A Monocular Depth-Guided SAM Framework for Automatic Sinkhole Segmentation. - Alfredo Reichlin, Gustaf Tegnér, Miguel Vasco, Hang Yin, Mårten Björkman, Danica Kragic:
Reducing Variance in Meta-Learning via Laplace Approximation for Regression Tasks. - Kai Li, Wendi Sang, Chang Zeng, Runxuan Yang, Guo Chen, Xiaolin Hu:
SonicSim: A customizable simulation platform for speech processing in moving sound source scenarios. - Edan Kinderman, Itay Hubara, Haggai Maron, Daniel Soudry:
Foldable SuperNets: Scalable Merging of Transformers with Different Initializations and Tasks. - Suyu Ge, Xihui Lin, Yunan Zhang, Jiawei Han, Hao Peng:
A Little Goes a Long Way: Efficient Long Context Training and Inference with Partial Contexts. - Bastian Bunzeck, Daniel Duran, Leonie Schade, Sina Zarrieß:
Small Language Models Like Small Vocabularies: Probing the Linguistic Abilities of Grapheme- and Phoneme-Based Baby Llamas. - Boyu Zhang, Tianyu Du, Junkai Tong, Xuhong Zhang, Kingsum Chow, Sheng Cheng, Xun Wang, Jianwei Yin:
SecCoder: Towards Generalizable and Robust Secure Code Generation. - Yingsheng Wu, Yuxuan Gu, Xiaocheng Feng, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin:
Extending Context Window of Large Language Models from a Distributional Perspective. - Zheng Lian, Haiyang Sun, Licai Sun, Lan Chen, Haoyu Chen, Hao Gu, Zhuofan Wen, Shun Chen, Siyuan Zhang, Hailiang Yao, Mingyu Xu, Kang Chen, Bin Liu, Rui Liu, Shan Liang, Ya Li, Jiangyan Yi, Jianhua Tao:
Open-vocabulary Multimodal Emotion Recognition: Dataset, Metric, and Benchmark. - Yuxuan Zhang, Ruizhe Li:
DLP-LoRA: Efficient Task-Specific LoRA Fusion with a Dynamic, Lightweight Plugin for Large Language Models. - Xinyi Zhang, Manuel Günther:
Quo Vadis RankList-based System in Face Recognition? - Jun Hyeong Kim, Seonghwan Kim, Seokhyun Moon, Hyeongwoo Kim, Jeheon Woo, Woo Youn Kim:
Discrete Diffusion Schrödinger Bridge Matching for Graph Transformation. - Sixing Tan, Xianmin Liu:
Personalized Federated Learning on Flowing Data Heterogeneity under Restricted Storage. - Jing Luo, Run Luo, Longze Chen, Liang Zhu, Chang Ao, Jiaming Li, Yukun Chen, Xin Cheng, Wen Yang, Jiayuan Su, Chengming Li, Min Yang:
PersonaMath: Enhancing Math Reasoning through Persona-Driven Data Augmentation. - Dexuan Ding, Lei Wang, Liyun Zhu, Tom Gedeon, Piotr Koniusz:
LEGO: Learnable Expansion of Graph Operators for Multi-Modal Feature Fusion. - Josip Jukic, Jan Snajder:
Disentangling Latent Shifts of In-Context Learning Through Self-Training. - Yungi Kim, Chanjun Park:
InstaTrans: An Instruction-Aware Translation Framework for Non-English Instruction Datasets. - Samuel Miksits, Ruimin Shi, Maya B. Gokhale, Jacob Wahlgren, Gabin Schieffer, Ivy Peng:
Multi-level Memory-Centric Profiling on ARM Processors with ARM SPE. - Jiaming Yang, Zhen Meng, Xiangmin Xu, Kan Chen, Emma Liying Li, Philip G. Zhao:
Task-Oriented Edge-Assisted Cooperative Data Compression, Communications and Computing for UGV-Enhanced Warehouse Logistics. - Yoshiaki Kitazawa:
Bounds on Lp Errors in Density Ratio Estimation via f-Divergence Loss Functions. - Haoran Wang, Nantheera Anantrasirichai, Fan Zhang, David Bull:
UW-GS: Distractor-Aware 3D Gaussian Splatting for Enhanced Underwater Scene Reconstruction. - Minsoo Kim, Kyuhong Shim, Jungwook Choi, Simyung Chang:
InfiniPot: Infinite Context Processing on Memory-Constrained LLMs. - Joanna Waczynska, Tomasz Szczepanik, Piotr Borycki, Slawomir Konrad Tadeja, Thomas Bohné, Przemyslaw Spurek:
MiraGe: Editable 2D Images using Gaussian Splatting. - Seanie Lee, Haebin Seong, Dong Bok Lee, Minki Kang, Xiaoyin Chen, Dominik Wagner, Yoshua Bengio, Juho Lee, Sung Ju Hwang:
HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models. - V. Gabriel Moyano, Zain Alabedin Haj Hammadeh, Selma Saidi, Daniel Lüdtke:
Global Scheduling of Weakly-Hard Real-Time Tasks using Job-Level Priority Classes. - Jianxiong Li, Zhihao Wang, Jinliang Zheng, Xiaoai Zhou, Guanming Wang, Guanglu Song, Yu Liu, Jingjing Liu, Ya-Qin Zhang, Junzhi Yu, Xianyuan Zhan:
Robo-MUTUAL: Robotic Multimodal Task Specification via Unimodal Learning. - Junwoo Ha, Hyukjae Kwon, Sungsoo Kim, Kisu Lee, Ha Young Kim:
TiVaT: Joint-Axis Attention for Time Series Forecasting with Lead-Lag Dynamics. - Ángela López-Cardona, Carlos Segura, Alexandros Karatzoglou, Sergi Abadal, Ioannis Arapakis:
Seeing Eye to AI: Human Alignment via Gaze-Based Response Rewards for Large Language Models. - Weijie Tu, Weijian Deng, Tom Gedeon:
Toward a Holistic Evaluation of Robustness in CLIP Models. - Shuyi Jiang, Qihao Zhao, Hossein Rahmani, De Wen Soh, Jun Liu, Na Zhao:
GaussianBlock: Building Part-Aware Compositional and Editable 3D Scene by Primitives and Gaussians. - Francesc Net, Lluís Gómez:
EUFCC-CIR: a Composed Image Retrieval Dataset for GLAM Collections. - François Clément, Vincent Martin:
Finite element method. Detailed proofs to be formalized in Coq. - Rongzhen Zhao, Vivienne Wang, Juho Kannala, Joni Pajarinen:
Multi-Scale Fusion for Object Representation. - Jente Vandersanden, Sascha Holl, Xingchang Huang, Gurprit Singh:
Edge-preserving noise for diffusion models. - Jiaqi Lei, Liang Hu, Yi Bu, Jiqun Liu:
Understanding Teams and Productivity in Information Retrieval Research (2000-2018): Academia, Industry, and Cross-Community Collaborations. - Zaiquan Yang, Yuhao Liu, Jiaying Lin, Gerhard P. Hancke, Rynson W. H. Lau:
Boosting Weakly-Supervised Referring Image Segmentation via Progressive Comprehension. - Raphaël Sarfati, Toni J. B. Liu, Nicolas Boullé, Christopher J. Earls:
Lines of Thought in Large Language Models. - Dingzirui Wang, Xuangliang Zhang, Qiguang Chen, Longxu Dou, Xiao Xu, Rongyu Cao, Yingwei Ma, Qingfu Zhu, Wanxiang Che, Binhua Li, Fei Huang, Yongbin Li:
In-Context Transfer Learning: Demonstration Synthesis by Transferring Similar Tasks. - Zonghai Yao, Zihao Zhang, Chaolong Tang, Xingyu Bian, Youxia Zhao, Zhichao Yang, Junda Wang, Huixue Zhou, Won Seok Jang, Feiyun Ouyang, Hong Yu:
MedQA-CS: Benchmarking Large Language Models Clinical Skills Using an AI-SCE Framework. - Yang Yu:
Weighted Sum Power Minimization for Cooperative Spectrum Sharing in Cognitive Radio Networks. - Ryan Shea, Aymen Kallala, Xin Lucy Liu, Michael W. Morris, Zhou Yu:
ACE: A LLM-based Negotiation Coaching System. - Yi Cheng, Xiao Liang, Yeyun Gong, Wen Xiao, Song Wang, Yuji Zhang, Wenjun Hou, Kaishuai Xu, Wenge Liu, Wenjie Li, Jian Jiao, Qi Chen, Peng Cheng, Wayne Xiong:
Integrative Decoding: Improve Factuality via Implicit Self-consistency. - Shubham Toshniwal, Wei Du, Ivan Moshkov, Branislav Kisacanin, Alexan Ayrapetyan, Igor Gitman:
OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data. - Xin Zhang, Wensheng Lin, Lixin Li, Fucheng Yang, Zhu Han, Tad Matsumoto:
Outage Probability Analysis for OTFS in Lossy Communications. - Samuel Müller, Noah Hollmann, Frank Hutter:
Bayes' Power for Explaining In-Context Learning Generalizations. - Parag Dhounde, Avinash Bhute:
Design of Convolutional Codes for Varying Constraint Lengths. - Robert Künnemann, Julian Biehl:
Adaptive Exploit Generation against Security Devices and Security APIs. - JinHui Bai, Lei Shi:
Truncated Kernel Stochastic Gradient Descent on Spheres. - Chuyan Zhang, Hao Zheng, Xin You, Yefeng Zheng, Yun Gu:
PASS:Test-Time Prompting to Adapt Styles and Semantic Shapes in Medical Image Segmentation. - Sina Mavali, Jonas Ricker, David Pape, Yash Sharma, Asja Fischer, Lea Schönherr:
Fake It Until You Break It: On the Adversarial Robustness of AI-generated Image Detectors. - Naming Liu, Mingzhi Wang, Xihuai Wang, Weinan Zhang, Yaodong Yang, Youzhi Zhang, Bo An, Ying Wen:
Computing Ex Ante Equilibrium in Heterogeneous Zero-Sum Team Games. - Guoyan Lao, Ruimin Feng, Haikun Qi, Zhenfeng Lv, Qiangqiang Liu, Chunlei Liu, Yuyao Zhang, Hongjiang Wei:
Coordinate-Based Neural Representation Enabling Zero-Shot Learning for 3D Multiparametric Quantitative MRI. - Sunil Kumar Kopparapu, Chitralekha Bhat, Ashish Panda:
Spoken Grammar Assessment Using LLM. - Kshitij Kayastha, Vasilis Gkatzelis, Shahin Jabbari:
Learning-Augmented Robust Algorithmic Recourse. - Renato Tinós, Michal Przewozniczek, Darrell Whitley, Francisco Chicano:
Iterated Local Search with Linkage Learning. - Wen Wu, Xinyu Huang, Tom H. Luan:
AI-Native Network Digital Twin for Intelligent Network Management in 6G. - Xuetong Wang, Ziyan Wang, Mingmin Zhang, Kangyou Yu, Pan Hui, Mingming Fan:
Avatar Appearance and Behavior of Potential Harassers Affect Users' Perceptions and Response Strategies in Social Virtual Reality (VR): A Mixed-Methods Study. - Shurong Wang, Zhuoyang Shen, Xinbao Qiao, Tongning Zhang, Meng Zhang:
DynFrs: An Efficient Framework for Machine Unlearning in Random Forest. - Isaac E. Weintraub, Alexander Von Moll, David W. Casbeer, Satyanarayana G. Manyam, Meir Pachter, Colin Taylor:
Min-Time Escape of a Dubins Car from a Polygon. - Quentin Aristote:
Active Learning of Deterministic Transducers with Outputs in Arbitrary Monoids. - Mingzhen Sun, Weining Wang, Yanyuan Qiao, Jiahui Sun, Zihan Qin, Longteng Guo, Xinxin Zhu, Jing Liu:
MM-LDM: Multi-Modal Latent Diffusion Model for Sounding Video Generation. - Pouyan Navard, Amin Karimi Monsefi, Mengxi Zhou, Wei-Lun Chao, Alper Yilmaz, Rajiv Ramnath:
KnobGen: Controlling the Sophistication of Artwork in Sketch-Based Diffusion Models. - Yuna Yan, Lixin Li, Xin Zhang, Wensheng Lin, Wenchi Cheng, Zhu Han:
SAFE: Semantic Adaptive Feature Extraction with Rate Control for 6G Wireless Communications. - Qianfeng Wen, Yifan Liu, Joshua Zhang, George Saad, Anton Korikov, Yury Sambale, Scott Sanner:
Elaborative Subtopic Query Reformulation for Broad and Indirect Queries in Travel Destination Recommendation. - Tirtho S. Saha, Alexander Heinlein, Cordula Reisch:
Towards Model Discovery Using Domain Decomposition and PINNs. - Ethan Ewer, Daewon Chae, Thomas Zeng, Jinkyu Kim, Kangwook Lee:
ENTP: Encoder-only Next Token Prediction. - Yunxiang Shi, Lixin Li, Wensheng Lin, Wei Liang, Zhu Han:
Beamforming in Secure Integrated Sensing and Communication Systems with Antenna Allocation. - Si Chen, Haocong Cheng, Suzy Su, Stephanie Patterson, Raja S. Kushalnagar, Qi Wang, Yun Huang:
Customizing Generated Signs and Voices of AI Avatars: Deaf-Centric Mixed-Reality Design for Deaf-Hearing Communication. - Maya Pavlova, Erik Brinkman, Krithika Iyer, Vitor Albiero, Joanna Bitton, Hailey Nguyen, Joe Li, Cristian Canton-Ferrer, Ivan Evtimov, Aaron Grattafiori:
Automated Red Teaming with GOAT: the Generative Offensive Agent Tester. - Deepak E. Gopinath, Xiongyi Cui, Jonathan A. DeCastro, Emily Sumner, Jean Costa, Hiroshi Yasuda, Allison Morgan, Laporsha Dees, Sheryl Chau, John Leonard, Tiffany Chen, Guy Rosman, Avinash Balachandran:
Computational Teaching for Driving via Multi-Task Imitation Learning. - Yihao Ding, Soyeon Caren Han, Zechuan Li, Hyunsuk Chung:
DAViD: Domain Adaptive Visually-Rich Document Understanding with Synthetic Insights. - Tingfeng Hui, Zhenyu Zhang, Shuohuan Wang, Yu Sun, Hua Wu, Sen Su:
Upcycling Instruction Tuning from Dense to Mixture-of-Experts via Parameter Merging. - Shaobo Wang, Yantai Yang, Shuaiyu Zhang, Chenghao Sun, Weiya Li, Xuming Hu, Linfeng Zhang:
DRUPI: Dataset Reduction Using Privileged Information. - Zihan Wang, Shuzhe Wang, Matias Turkulainen, Junyuan Fang, Juho Kannala:
Gaussian Splatting in Mirrors: Reflection-Aware Rendering via Virtual Camera Optimization. - Aleksandr Gordeev, Vladimir Dokholyan, Irina Tolstykh, Maksim Kuprashevich:
Saliency-Guided DETR for Moment Retrieval and Highlight Detection. - Alessandro De Palma, Serge Durand, Zakaria Chihani, François Terrier, Caterina Urban:
On Using Certified Training towards Empirical Robustness. - Xingyu Ji, Shenghai Yuan, Jianping Li, Pengyu Yin, Haozhi Cao, Lihua Xie:
SGBA: Semantic Gaussian Mixture Model-Based LiDAR Bundle Adjustment. - Zhenyue Qin, Yu Yin, Dylan Campbell, Xuansheng Wu, Ke Zou, Yih-Chung Tham, Ninghao Liu, Xiuzhen Zhang, Qingyu Chen:
LMOD: A Large Multimodal Ophthalmology Dataset and Benchmark for Large Vision-Language Models. - Xi Chen, Kaituo Feng, Changsheng Li, Xunhao Lai, Xiangyu Yue, Ye Yuan, Guoren Wang:
Fira: Can We Achieve Full-rank Training of LLMs Under Low-rank Constraint? - Eliane Briand, Bartosz Kohnke, Carsten Kutzner, Helmut Grubmüller:
Constant pH Simulation with FMM Electrostatics in GROMACS. (A) Design and Applications. - Gaurav Arora, Shreya Jain, Srujana Merugu:
Intent Detection in the Age of LLMs. - Aron Distelzweig, Andreas Look, Eitan Kosman, Faris Janjos, Jörg Wagner, Abhinav Valada:
Entropy-Based Uncertainty Modeling for Trajectory Prediction in Autonomous Driving. - Shaokang Wu, Yijin Wang, Yanlong Huang:
One-Shot Robust Imitation Learning for Long-Horizon Visuomotor Tasks from Unsegmented Demonstrations. - Madhusudan Basak, Omar Sharif, Sarah E. Lord, Jacob T. Borodovsky, Lisa A. Marsch, Sandra A. Springer, Edward Nunes, Charlie D. Brackett, Luke J. ArchiBald, Sarah M. Preum:
A Thematic Framework for Analyzing Large-scale Self-reported Social Media Data on Opioid Use Disorder Treatment Using Buprenorphine Product. - Qunzhong Wang, Xiangguo Sun, Hong Cheng:
Does Graph Prompt Work? A Data Operation Perspective with Theoretical Analysis. - Kian Ahrabian, Alon Benhaim, Barun Patra, Jay Pujara, Saksham Singhal, Xia Song:
On The Adaptation of Unlimiformer for Decoder-Only Transformers. - Senmao Ye, Fei Liu:
Data Extrapolation for Text-to-image Generation on Small Datasets. - Elizaveta Tennant, Stephen Hailes, Mirco Musolesi:
Moral Alignment for LLM Agents. - Brahma S. Pavse, Yudong Chen, Qiaomin Xie, Josiah P. Hanna:
Stable Offline Value Function Learning with Bisimulation-based Representations. - Kai Li, Yilei Liang, Xin Yuan, Wei Ni, Jon Crowcroft, Chau Yuen, Özgür B. Akan:
A Novel Framework of Horizontal-Vertical Hybrid Federated Learning for EdgeIoT. - Yang Cao, Yuanliang Jv, Dan Xu:
3DGS-DET: Empower 3D Gaussian Splatting with Boundary Guidance and Box-Focused Sampling for 3D Object Detection. - Angel Paul, Dhivin Shaji, Lifeng Han, Warren Del-Pinto, Goran Nenadic:
DeIDClinic: A Multi-Layered Framework for De-identification of Clinical Free-text Data. - Maximilian Muschalik, Hubert Baniecki, Fabian Fumagalli, Patrick Kolpaczki, Barbara Hammer, Eyke Hüllermeier:
shapiq: Shapley Interactions for Machine Learning. - Xiang Hu, Zhihao Teng, Wei Wu, Kewei Tu:
Efficient Long-range Language Modeling with Self-supervised Causal Retrieval. - Roussel Desmond Nzoyem, David A. W. Barton, Tom Deakin:
Extending Contextual Self-Modulation: Meta-Learning Across Modalities, Task Dimensionalities, and Data Regimes. - Shivam Barwey, Riccardo Balin, Bethany Lusch, Saumil Patel, Ramesh Balakrishnan, Pinaki Pal, Romit Maulik, Venkatram Vishwanath:
Scalable and Consistent Graph Neural Networks for Distributed Mesh-based Data-driven Modeling. - Étienne André, Johan Arcile, Engel Lefaucheux:
Execution-time opacity problems in one-clock parametric timed automata. - Klaus-Rudolf Kladny, Bernhard Schölkopf, Michael Muehlebach:
Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering. - Jason Piquenot, Maxime Bérar, Pierre Héroux, Jean-Yves Ramel, Romain Raveaux, Sébastien Adam:
Finding path and cycle counting formulae in graphs with Deep Reinforcement Learning. - Andrea Cavallo, Zhan Gao, Elvin Isufi:
Sparse Covariance Neural Networks. - Yanming Liu, Xinyue Peng, Jiannan Cao, Shi Bo, Yanxin Shen, Xuhong Zhang, Sheng Cheng, Xun Wang, Jianwei Yin, Tianyu Du:
Bridging Context Gaps: Leveraging Coreference Resolution for Long Contextual Understanding. - Anna Fang, Hriday Chhabria, Alekhya Maram, Haiyi Zhu:
Practicing Stress Relief for the Everyday: Designing Social Simulation Using VR, AR, and LLMs. - J. Grau, Rocío Botta, Christian E. Schaerer:
Optimal Control of Fractional Punishment in Optional Public Goods Game. - Bennett Kleinberg, Jari Zegers, Jonas Festor, Stefana Vida, Julian Präsent, Riccardo Loconte, Sanne Peereboom:
Trying to be human: Linguistic traces of stochastic empathy in language models. - Ahmet Faruk Saz, Siheng Xiong, Faramarz Fekri:
Lossy Semantic Communication for the Logical Deduction of the State of the World. - Miao Yu, Junyuan Mao, Guibin Zhang, Jingheng Ye, Junfeng Fang, Aoxiao Zhong, Yang Liu, Yuxuan Liang, Kun Wang, Qingsong Wen:
Mind Scramble: Unveiling Large Language Model Psychology Via Typoglycemia. - Ayesha Ishaq, Mohamed El Amine Boudjoghra, Jean Lahoud, Fahad Shahbaz Khan, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer:
Open3DTrack: Towards Open-Vocabulary 3D Multi-Object Tracking. - Amirhossein Kazemnejad, Milad Aghajohari, Eva Portelance, Alessandro Sordoni, Siva Reddy, Aaron C. Courville, Nicolas Le Roux:
VinePPO: Unlocking RL Potential For LLM Reasoning Through Refined Credit Assignment. - Mike Ranzinger, Jon Barker, Greg Heinrich, Pavlo Molchanov, Bryan Catanzaro, Andrew Tao:
PHI-S: Distribution Balancing for Label-Free Multi-Teacher Distillation. - Joseph N. E. Lucero, Ruixiao Sun, Brandon A. Miller, Simona Onori, Vivek A. Sujan:
A Microgrid Deployment Framework to Support Drayage Electrification. - Yongqiang Wang, Suresh G. Advani, Ajay K. Prasad:
Effects of eco-driving on energy consumption and battery degradation for electric vehicles at signalized intersections. - Artur Back de Luca, George Giapitzakis, Shenghao Yang, Petar Velickovic, Kimon Fountoulakis:
Positional Attention: Out-of-Distribution Generalization and Expressivity for Neural Algorithmic Reasoning. - James Giroux, Cristiano Fanelli:
Uncertainty Quantification with Bayesian Higher Order ReLU KANs. - Kenza Amara, Lukas Klein, Carsten T. Lüth, Paul Jäger, Hendrik Strobelt, Mennatallah El-Assady:
Why context matters in VQA and Reasoning: Semantic interventions for VLM input modalities. - Chao-Wei Huang, Yun-Nung Chen:
FactAlign: Long-form Factuality Alignment of Large Language Models. - Tung-Yu Wu, Pei-Yu Lo:
U-shaped and Inverted-U Scaling behind Emergent Abilities of Large Language Models. - Junjun Huang, Jifan Wu, Qing Wang, Kemeng Yuan, Jiefeng Li, Di Lu:
From Prohibition to Adoption: How Hong Kong Universities Are Navigating ChatGPT in Academic Workflows. - Kangsheng Wang, Xiao Zhang, Hao Liu, Songde Han, Huimin Ma, Tianyu Hu:
CreDes: Causal Reasoning Enhancement and Dual-End Searching for Solving Long-Range Reasoning Problems using LLMs. - Sèdjro Salomon Hotegni, Sebastian Peitz:
MOREL: Enhancing Adversarial Robustness through Multi-Objective Representation Learning. - Yao Teng, Han Shi, Xian Liu, Xuefei Ning, Guohao Dai, Yu Wang, Zhenguo Li, Xihui Liu:
Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding. - Zhenyu Wei, Zhixuan Xu, Jingxiang Guo, Yiwen Hou, Chongkai Gao, Zhehao Cai, Jiayu Luo, Lin Shao:
D(R, O) Grasp: A Unified Representation of Robot and Object Interaction for Cross-Embodiment Dexterous Grasping. - Soham Govande:
An Exploration of Self-Supervised Mutual Information Alignment for Multi-Task Settings. - Omayma Mahjoub, Sasha Abramowitz, Ruan de Kock, Wiem Khlifi, Simon du Toit, Jemma Daniel, Louay Ben Nessir, Louise Beyers, Claude Formanek, Liam Clark, Arnu Pretorius:
Performant, Memory Efficient and Scalable Multi-Agent Reinforcement Learning. - Zitian Gao, Boye Niu, Xuzheng He, Haotian Xu, Hongzhang Liu, Aiwei Liu, Xuming Hu, Lijie Wen:
Interpretable Contrastive Monte Carlo Tree Search Reasoning. - Kristen M. Altenburger, Hongda Jiang, Robert E. Kraut, Yi-Chia Wang, Jane Dwivedi-Yu:
Examining the Role of Relationship Alignment in Large Language Models. - Chen Tao, Li Shen, Soumik Mondal:
Meta-TTT: A Meta-learning Minimax Framework For Test-Time Training. - Ryan E. Dougherty:
Scaffolding Research Projects in Theory of Computing Courses. - Mingzhen Sun, Weining Wang, Xinxin Zhu, Jing Liu:
COMUNI: Decomposing Common and Unique Video Signals for Diffusion-based Video Generation. - Jiamin Xu, Zelong Li, Yuxin Zheng, Chenyu Huang, Renshu Gu, Weiwei Xu, Gang Xu:
OmniSR: Shadow Removal under Direct and Indirect Lighting. - Zeyu Gan, Yong Liu:
Towards a Theoretical Understanding of Synthetic Data in LLM Post-Training: A Reverse-Bottleneck Perspective. - Yushi Huang, Zining Wang, Ruihao Gong, Jing Liu, Xinjie Zhang, Jun Zhang:
HarmoniCa: Harmonizing Training and Inference for Better Feature Cache in Diffusion Transformer Acceleration. - Longyu Feng, Mengze Hong, Chen Jason Zhang:
Auto-Demo Prompting: Leveraging Generated Outputs as Demonstrations for Enhanced Batch Prompting. - Yilmazcan Özyurt, Stefan Feuerriegel, Mrinmaya Sachan:
Automated Knowledge Concept Annotation and Question Representation Learning for Knowledge Tracing. - Jushan Chen:
Multi-Robot Trajectory Generation via Consensus ADMM: Convex vs. Non-Convex. - Sunghwan Kim, Dongjin Kang, Taeyoon Kwon, Hyungjoo Chae, Jungsoo Won, Dongha Lee, Jinyoung Yeo:
Evaluating Robustness of Reward Models for Mathematical Reasoning. - Rinon Gal, Adi Haviv, Yuval Alaluf, Amit H. Bermano, Daniel Cohen-Or, Gal Chechik:
ComfyGen: Prompt-Adaptive Workflows for Text-to-Image Generation. - Qi Jia, Xiang Yue, Shanshan Huang, Ziheng Qin, Yizhu Liu, Bill Yuchen Lin, Yang You:
Visual Perception in Text Strings. - Duy Nguyen, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal:
LASeR: Learning to Adaptively Select Reward Models with Multi-Armed Bandits. - Charbel Chucri, Rami Azouz, Joachim Ott:
Recursive Abstractive Processing for Retrieval in Dynamic Datasets. - Bingchen Miao, Wenqiao Zhang, Juncheng Li, Siliang Tang, Zhaocheng Li, Haochen Shi, Jun Xiao, Yueting Zhuang:
RADAR: Robust Two-stage Modality-incomplete Industrial Anomaly Detection. - Kailai Feng, Yabo Zhang, Haodong Yu, Zhilong Ji, Jinfeng Bai, Hongzhi Zhang, Wangmeng Zuo:
VitaGlyph: Vitalizing Artistic Typography with Flexible Dual-branch Diffusion Models. - Xingrui Gu, Guanren Qiao, Chuyi Jiang, Tianqing Xia, Hangyu Mao:
Mimicking Human Intuition: Cognitive Belief-Driven Q-Learning. - Mengzhao Jia, Wenhao Yu, Kaixin Ma, Tianqing Fang, Zhihan Zhang, Siru Ouyang, Hongming Zhang, Meng Jiang, Dong Yu:
Leopard: A Vision Language Model For Text-Rich Multi-Image Tasks. - Mohammadamin Davoodabadi, Negin Hashemi Dijujin, Mahdieh Soleymani Baghshah:
PreND: Enhancing Intrinsic Motivation in Reinforcement Learning through Pre-trained Network Distillation. - Emanuele Zappala:
Leray-Schauder Mappings for Operator Learning. - Arian Hosseini, Alessandro Sordoni, Daniel Toyama, Aaron C. Courville, Rishabh Agarwal:
Not All LLM Reasoners Are Created Equal. - Mir Mehedi Rahman, Naresh Kshetri, Sayed Abu Sayeed, Md Masud Rana:
AssessITS: Integrating procedural guidelines and practical evaluation metrics for organizational IT and Cybersecurity risk assessment. - Madhav Muthyala, Farshud Sorourifar, Joel A. Paulson:
TorchSISSO: A PyTorch-Based Implementation of the Sure Independence Screening and Sparsifying Operator for Efficient and Interpretable Model Discovery. - Bartosz Kohnke, Eliane Briand, Carsten Kutzner, Helmut Grubmüller:
Constant pH Simulation with FMM Electrostatics in GROMACS. (B) GPU Accelerated Hamiltonian Interpolation. - Xiang Li, Kai Qiu, Hao Chen, Jason Kuen, Jiuxiang Gu, Bhiksha Raj, Zhe Lin:
ImageFolder: Autoregressive Image Generation with Folded Tokens. - Daniel Skachkov, Denis K. Ponomaryov, Yuri Dorn, Alexander Demin:
Competitive Ratio of Online Caching with Predictions: Lower and Upper Bounds. - Manish Shrestha, Christian Johansen, Johanna Johansen:
LightSC: The Making of a Usable Security Classification Tool for DevSecOps. - Rebekah A. Gelpí, Yikai Tang, Ethan C. Jackson, William A. Cunningham:
Social coordination perpetuates stereotypic expectations and behaviors across generations in deep multi-agent reinforcement learning. - Santiago Cortes-Gomez, Carlos Miguel Patiño, Yewon Byun, Steven Wu, Eric Horvitz, Bryan Wilder:
Decision-Focused Uncertainty Quantification. - Kaiyu Li, Ruixun Liu, Xiangyong Cao, Deyu Meng, Zhi Wang:
SegEarth-OV: Towards Traning-Free Open-Vocabulary Segmentation for Remote Sensing Images. - Zhenting Qi, Hongyin Luo, Xuliang Huang, Zhuokai Zhao, Yibo Jiang, Xiangjun Fan, Himabindu Lakkaraju, James R. Glass:
Quantifying Generalization Complexity for Large Language Models. - Oscar J. Pellicer-Valero, Miguel-Ángel Fernández-Torres, Chaonan Ji, Miguel D. Mahecha, Gustau Camps-Valls:
Explainable Earth Surface Forecasting under Extreme Events. - Vikash Singh, Matthew Khanzadeh, Vincent Davis, Harrison Rush, Emanuele Rossi, Jesse Shrader, Pietro Lio:
Bayesian Binary Search. - Yebowen Hu, Xiaoyang Wang, Wenlin Yao, Yiming Lu, Daoan Zhang, Hassan Foroosh, Dong Yu, Fei Liu:
DeFine: Enhancing LLM Decision-Making with Factor Profiles and Analogical Reasoning. - Spencer Frei, Gal Vardi:
Trained Transformer Classifiers Generalize and Exhibit Benign Overfitting In-Context. - Angelo Benoit, Sam Schwartz, Ron K. Cytron:
Optimization of a Quantum Subset Sum Oracle. - Fabian Schwarz, Jan Philipp Thoma, Christian Rossow, Tim Güneysu:
KeyVisor - A Lightweight ISA Extension for Protected Key Handles with CPU-enforced Usage Policies. - Astrit Tola, Funmilola Mary Taiwo, Cuneyt Gurcan Akcora, Baris Coskunuzer:
TopER: Topological Embeddings in Graph Representation Learning. - Yuandong Tian:
Composing Global Optimizers to Reasoning Tasks via Algebraic Objects in Neural Nets. - Shayekh Bin Islam, Md Asib Rahman, K. S. M. Tozammel Hossain, Enamul Hoque, Shafiq Joty, Md. Rizwan Parvez:
Open-RAG: Enhanced Retrieval-Augmented Reasoning with Open-Source Large Language Models. - Vincenzo Di Vito, Mostafa Mohammadian, Kyri Baker, Ferdinando Fioretto:
Learning To Solve Differential Equation Constrained Optimization Problems. - Alexey Kutalev, Sergei Markoff:
Investigating on RLHF methodology. - Prasanth Sengadu Suresh, Siddarth Jain, Prashant Doshi, Diego Romeres:
Open Human-Robot Collaboration using Decentralized Inverse Reinforcement Learning. - Sam Earle, Samyak Parajuli, Andrzej Banburski-Fahey:
DreamGarden: A Designer Assistant for Growing Games from a Single Prompt. - R. Thomas McCoy, Shunyu Yao, Dan Friedman, Mathew D. Hardy, Thomas L. Griffiths:
When a language model is optimized for reasoning, does it still show embers of autoregression? An analysis of OpenAI o1. - Haonan Li, Xudong Han, Hao Wang, Yuxia Wang, Minghan Wang, Rui Xing, Yilin Geng, Zenan Zhai, Preslav Nakov, Timothy Baldwin:
Loki: An Open-Source Tool for Fact Verification. - Joseph Lee, Shu Yang, Jae Young Baik, Xiaoxi Liu, Zhen Tan, Dawei Li, Zixuan Wen, Bojian Hou, Duy Duong-Tran, Tianlong Chen, Li Shen:
Knowledge-Driven Feature Selection and Engineering for Genotype Data with Large Language Models. - Yangming Li, Chieh-Hsin Lai, Carola-Bibiane Schönlieb, Yuki Mitsufuji, Stefano Ermon:
Bellman Diffusion: Generative Modeling as Learning a Linear Operator in the Distribution Space. - Rishi Veerapaneni, Muhammad Suhail Saleem, Jiaoyang Li, Maxim Likhachev:
Windowed MAPF with Completeness Guarantees. - Cheng Zhang, Yuanhao Wang, Francisco Vicente Carrasco, Chenglei Wu, Jinlong Yang, Thabo Beeler, Fernando De la Torre:
FabricDiffusion: High-Fidelity Texture Transfer for 3D Garments Generation from In-The-Wild Clothing Images. - Astrit Tola, Jack Myrick, Baris Coskunuzer:
PROXI: Challenging the GNNs for Link Prediction. - Yixuan Wang, Jonathan W. Siegel, Ziming Liu, Thomas Y. Hou:
On the expressiveness and spectral bias of KANs. - Alexander Mai, Peter Hedman, George Kopanas, Dor Verbin, David Futschik, Qiangeng Xu, Falko Kuester, Jonathan T. Barron, Yinda Zhang:
EVER: Exact Volumetric Ellipsoid Rendering for Real-time View Synthesis. - Yuxiang Huang, Binhang Yuan, Xu Han, Chaojun Xiao, Zhiyuan Liu:
Locret: Enhancing Eviction in Long-Context LLM Inference with Trained Retaining Heads. - Mattia Segù, Luigi Piccinelli, Siyuan Li, Yung-Hsu Yang, Bernt Schiele, Luc Van Gool:
Samba: Synchronized Set-of-Sequences Modeling for Multiple Object Tracking. - Marina Cortês, Andrew R. Liddle, Christos Emmanouilidis, Anthony E. Kelly, Ken Matusow, Ragu Ragunathan, Jayne M. Suess, George Tambouratzis, Janusz Zalewski, David A. Bray:
AI Horizon Scanning, White Paper p3395, IEEE-SA. Part I: Areas of Attention. - Tara DeZao:
Enhancing transparency in AI-powered customer engagement. - Paul Kronlund-Drouault:
Propaganda is all you need. - Fiifi Dawson, Zainab Mosunmola, Sahil Pocker, Raj Abhijit Dandekar, Rajat Dandekar, Sreedath Panat:
Evaluating Cultural Awareness of LLMs for Yoruba, Malayalam, and English. - Qian Niu, Keyu Chen, Ming Li, Pohsun Feng, Ziqian Bi, Lawrence KQ Yan, Yichao Zhang, Caitlyn Heqi Yin, Cheng Fei, Junyu Liu, Benji Peng:
From Text to Multimodality: Exploring the Evolution and Impact of Large Language Models in Medical Practice. - Zhikai Li, Jing Zhang, Qingyi Gu:
Privacy-Preserving SAM Quantization for Efficient Edge Intelligence in Healthcare. - Anirudh Dash:
A Graph Theoretic Approach to Analyze the Developing Metaverse. - Elham Khamoushi:
AI in Food Marketing from Personalized Recommendations to Predictive Analytics: Comparing Traditional Advertising Techniques with AI-Driven Strategies. - Awal Ahmed Fime, Saifuddin Mahmud, Arpita Das, Md. Sunzidul Islam, Hong-Hoon Kim:
Automatic Scene Generation: State-of-the-Art Techniques, Models, Datasets, Challenges, and Future Prospects. - Tanusree Sharma, Yujin Potter, Zachary Kilhoffer, Yun Huang, Dawn Song, Yang Wang:
From Experts to the Public: Governing Multimodal Language Models in Politically Sensitive Video Analysis. - Nataliya Tkachenko:
Integrating AI's Carbon Footprint into Risk Management Frameworks: Strategies and Tools for Sustainable Compliance in Banking Sector. - Dian W. Tjondronegoro:
Strategic AI Governance: Insights from Leading Nations. - Fabien Furfaro:
PixelBytes: Catching Unified Representation for Multimodal Generation. - Oleksandra Bruns, Tabea Tietz, Jörg Waitelonis, Etienne Posthumus, Harald Sack:
NFDIcore 2.0: A BFO-Compliant Ontology for Multi-Domain Research Infrastructures. - Emanuele Cavenaghi, Alessio Zanga, Fabio Stella, Markus Zanker:
The Importance of Causality in Decision Making: A Perspective on Recommender Systems. - Alexander Wuttke, Matthias Aßenmacher, Christopher Klamm, Max M. Lang, Quirin Würschinger, Frauke Kreuter:
AI Conversational Interviewing: Transforming Surveys with LLMs as Adaptive Interviewers. - Biplov Paneru, Bishwash Paneru, Krishna Bikram Shah:
Analysis of Convolutional Neural Network-based Image Classifications: A Multi-Featured Application for Rice Leaf Disease Prediction and Recommendations for Farmers. - Masoud Kaveh, Farshad Rostami Ghadi, Zhao Li, Zheng Yan, Riku Jäntti:
Secure Backscatter Communications Through RIS: Modeling and Performance. - Aakash Sorathiya, Gouri Ginde:
Ethical software requirements from user reviews: A systematic literature review. - Jianchun Chen, Jian Wang, Yinda Zhang, Rohit Pandey, Thabo Beeler, Marc Habermann, Christian Theobalt:
EgoAvatar: Egocentric View-Driven and Photorealistic Full-body Avatars. - Seif Gad, Sherif Abdelfattah, Ghodai Abdelrahman:
Temporal Graph Memory Networks For Knowledge Tracing. - Yusheng Zheng, Yiwei Yang, Haoqin Tu, Yuxi Huang:
Code-Survey: An LLM-Driven Methodology for Analyzing Large-Scale Codebases. - Quanquan Shao, Yi Fang:
Target Pose Guided Whole-body Grasping Motion Generation for Digital Humans. - Ashiqur Rahman, Ehsan Mohammadi, Hamed Alhoori:
Public interest in science or bots? Selective amplification of scientific articles on Twitter. - Hossein Amiri, Ruochen Kong, Andreas Züfle:
Urban Anomalies: A Simulated Human Mobility Dataset with Injected Anomalies. - Omkar Kulkarni, Rohitash Chandra:
Bayes-CATSI: A variational Bayesian deep learning framework for medical time series data imputation. - Soufiane Belharbi, Marco Pedersoli, Alessandro Lameiras Koerich, Simon Bacon, Eric Granger:
Spatial Action Unit Cues for Interpretable Deep Facial Expression Recognition. - Hans Dermot Doran, Suzana Veljanovska:
An Early-Stage Workflow Proposal for the Generation of Safe and Dependable AI Classifiers. - Qiuhao Lu, Rui Li, Elham Sagheb, Andrew Wen, Jinlian Wang, Liwei Wang, Jungwei W. Fan, Hongfang Liu:
Explainable Diagnosis Prediction through Neuro-Symbolic Integration. - Yin Huang, Letian Zhang, Jie Xu:
Learning the Optimal Path and DNN Partition for Collaborative Edge Inference. - Shuxin Yang, Xinhan Di:
OCC-MLLM-Alpha:Empowering Multi-modal Large Language Model for the Understanding of Occluded Objects with Self-Supervised Test-Time Learning. - Alexandros Xenos, Noël Malod-Dognin, Natasa Przulj:
Simplifying complex machine learning by linearly separable network embedding spaces. - Jaehoon Oh, Seungjun Shin, Dokwan Oh:
House of Cards: Massive Weights in LLMs. - Shouvon Sarker, Xishuang Dong, Xiangfang Li, Lijun Qian:
Enhancing LLM Fine-tuning for Text-to-SQLs by SQL Quality Measurement. - Yibo Zhong, Haoxiang Jiang, Lincan Li, Ryumei Nakada, Tianci Liu, Linjun Zhang, Huaxiu Yao, Haoyu Wang:
NEAT: Nonlinear Parameter-efficient Adaptation of Pre-trained Models. - Marco Bornstein, Zora Che, Suhas Julapalli, Abdirisak Mohamed, Amrit Singh Bedi, Furong Huang:
Auction-Based Regulation for Artificial Intelligence. - Jesse C. Cresswell, Bhargava Kumar, Yi Sui, Mouloud Belbahri:
Conformal Prediction Sets Can Cause Disparate Impact. - Ali Majlesi Kopaee, Seyed Amir Hajseyedtaghia, Hossein Chitsaz:
Latency Reduction in CloudVR: Cloud Prediction, Edge Correction. - Nikolaos Lykousas, Vasileios Argyropoulos, Fran Casino:
The potential of LLM-generated reports in DevSecOps. - José Augusto Bolina, Pierre Sutra, Douglas Antunes Rocha, Lásaro J. Camargos:
Generic Multicast (Extended Version). - Aakash Varma Nadimpalli, Ajita Rattani:
Social Media Authentication and Combating Deepfakes using Semi-fragile Invisible Image Watermarking. - Sammy Khalife, Josué Tonelli-Cueto:
Is uniform expressivity too restrictive? Towards efficient expressivity of graph neural networks. - Rui Martins, Evgeny Lakshtanov:
A C++ implementation of the discrete adjoint sensitivity analysis method for explicit adaptive Runge-Kutta methods enabled by automatic adjoint differentiation and SIMD vectorization. - Liang Chen, Sinan Tan, Zefan Cai, Weichu Xie, Haozhe Zhao, Yichi Zhang, Junyang Lin, Jinze Bai, Tianyu Liu, Baobao Chang:
A Spark of Vision-Language Intelligence: 2-Dimensional Autoregressive Transformer for Efficient Finegrained Image Generation. - Christopher Musco, R. Teal Witter:
Provably Accurate Shapley Value Estimation via Leverage Score Sampling. - Peng Lan, Randi Wang, Zuqing Yu:
Influence of control polygon on the generalization of the conversion between ANCF and B-spline surfaces. - Xinghua Liu, Ming Cao:
High-order regularization dealing with ill-conditioned robot localization problems. - Shengyu Feng, Xiang Kong, Shuang Ma, Aonan Zhang, Dong Yin, Chong Wang, Ruoming Pang, Yiming Yang:
Step-by-Step Reasoning for Math Problems via Twisted Sequential Monte Carlo. - Gabriel Thompson, Kai Yue, Chau-Wai Wong, Huaiyu Dai:
NTK-DFL: Enhancing Decentralized Federated Learning in Heterogeneous Settings via Neural Tangent Kernel. - Jean-François Tremblay, Julie Alhosh, Louis Petit, Faraz Lotfi, Lara Landauro, David Meger:
Topological mapping for traversability-aware long-range navigation in off-road terrain. - Emily Jin, Zhuoyi Huang, Jan-Philipp Fränken, Weiyu Liu, Hannah Cha, Erik Brockbank, Sarah Wu, Ruohan Zhang, Jiajun Wu, Tobias Gerstenberg:
MARPLE: A Benchmark for Long-Horizon Inference. - Hayley Clatterbuck, Clinton Castro, Arvo Muñoz Morán:
Risk Alignment in Agentic AI Systems. - Ganesh Raghavendran, Bing Han, Fortune Adekogbe, Shuang Bai, Bingyu Lu, William Wu, Minghao Zhang, Ying Shirley Meng:
Deep learning assisted high resolution microscopy image processing for phase segmentation in functional composite materials. - Alireza Kheirandish, Duo Xu, Faramarz Fekri:
LLM-Augmented Symbolic Reinforcement Learning with Landmark-Based Task Decomposition. - Ghada Sokar, Johan S. Obando-Ceron, Aaron C. Courville, Hugo Larochelle, Pablo Samuel Castro:
Don't flatten, tokenize! Unlocking the key to SoftMoE's efficacy in deep RL. - Jiayu Li, Zilong Zhao, Kevin Yee, Uzair Javaid, Biplab Sikdar:
TAEGAN: Generating Synthetic Tabular Data For Data Augmentation. - Vince Kurtz, Joel W. Burdick:
Equality Constrained Diffusion for Direct Trajectory Optimization. - Mohammadreza Pourreza, Hailong Li, Ruoxi Sun, Yeounoh Chung, Shayan Talaei, Gaurav Tarlok Kakkar, Yu Gan, Amin Saberi, Fatma Ozcan, Sercan Ö. Arik:
CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL. - Hao Li, Jiayang Gu, Jingkuan Song, An Zhang, Lianli Gao:
One-step Noisy Label Mitigation. - Yuchen Fan, Xin Zhong, Heng Zhou, Yuchen Zhang, Mingyu Liang, Chengxing Xie, Ermo Hua, Ning Ding, Bowen Zhou:
CALF: Benchmarking Evaluation of LFQA Using Chinese Examinations. - Zhiwen You, Kanyao Han, Haotian Zhu, Bertram Ludäscher, Jana Diesner:
SciPrompt: Knowledge-augmented Prompting for Fine-grained Categorization of Scientific Topics. - Hongbin Liu, Lun Wang, Om Thakkar, Abhradeep Thakurta, Arun Narayanan:
Differentially Private Parameter-Efficient Fine-tuning for Large ASR Models. - Anji Liu, Oliver Broadrick, Mathias Niepert, Guy Van den Broeck:
Discrete Copula Diffusion. - Willem Diepeveen, Georgios Batzolis, Zakhar Shumaylov, Carola-Bibiane Schönlieb:
Score-based pullback Riemannian geometry. - Meghal Gupta, Rachel Yun Zhang:
List Decoding Bounds for Binary Codes with Noiseless Feedback. - Danqing Wang, Jianxin Ma, Fei Fang, Lei Li:
TypedThinker: Typed Thinking Improves Large Language Model Reasoning. - I-Fan Lin, Faegheh Hasibi, Suzan Verberne:
Generate then Refine: Data Augmentation for Zero-shot Intent Detection. - The Viet Bui, Thanh Hong Nguyen, Tien Mai:
ComaDICE: Offline Cooperative Multi-Agent Reinforcement Learning with Stationary Distribution Shift Regularization. - Lennart Karstensen, Harry Robertshaw, Johannes Hatzl, Benjamin Jackson, Jens Langejürgen, Katharina Breininger, Christian Uhl, S. M. Hadi Sadati, Thomas C. Booth, Christos Bergeles, Franziska Mathis-Ullrich:
Learning-Based Autonomous Navigation, Benchmark Environments and Simulation Framework for Endovascular Interventions. - Min-Hsuan Yeh, Leitian Tao, Jeffrey Wang, Xuefeng Du, Yixuan Li:
How Reliable Is Human Feedback For Aligning Large Language Models? - Alessio Petrozziello, Christian Sommeregger, Ye-Sheen Lim:
Scale-Invariant Learning-to-Rank. - Abhranil Chatterjee, Sumanta Ghosh, Rohit Gurjar, Roshan Raj:
Characterizing and Testing Principal Minor Equivalence of Matrices. - Mohammad Mahdavian, Mohammad Loni, Mo Chen:
Language Supervised Human Action Recognition with Salient Fusion: Construction Worker Action Recognition as a Use Case. - Xinlong Hou, Sen Shen, Xueshen Li, Xinran Gao, Ziyi Huang, Steven Holiday, Matthew Cribbet, Susan W. White, Edward Sazonov, Yu Gan:
Enhancing Screen Time Identification in Children with a Multi-View Vision Language Model and Screen Time Tracker. - Wenshuai Zhao, Yi Zhao, Joni Pajarinen, Michael Muehlebach:
Bi-Level Motion Imitation for Humanoid Robots. - Michael Gastpar, Ido Nachum, Jonathan Shafer, Thomas Weinberger:
Which Algorithms Have Tight Generalization Bounds? - Hossein Rastgoftar, Salim Hariri:
Aerial-based Crisis Management Center (ACMC). - Asher Hancock, Allen Z. Ren, Anirudha Majumdar:
Run-time Observation Interventions Make Vision-Language-Action Models More Visually Robust. - Arijit Khan, Tianxing Wu, Xi Chen:
LLM+KG@VLDB'24 Workshop Summary. - Alex Le Blanc, Patrick Lam:
Surveying the Rust Verification Landscape. - Alpha Diallo, Benoît Garbinato:
Decentralized Collaborative Inertial Tracking. - Satyaprajna Sahoo, Anamitra Pal:
A Preventive-Corrective Scheme for Ensuring Power System Security During Active Wildfire Risks. - Hamed Firooz, Maziar Sanjabi, Wenlong Jiang, Xiaoling Zhai:
Lost-in-Distance: Impact of Contextual Proximity on LLM Performance in Graph Tasks. - Weihang Ren, Álinson S. Xavier, Fengyu Wang, Yongpei Guan, Feng Qiu:
An Analysis of Market-to-Market Coordination. - Yanxin Shen, Pulin Kirin Zhang:
Financial Sentiment Analysis on News and Reports Using Large Language Models and FinBERT. - Reza Basiri, Ali Abedi, Chau Nguyen, Milos R. Popovic, Shehroz S. Khan:
UlcerGPT: A Multimodal Approach Leveraging Large Language and Vision Models for Diabetic Foot Ulcer Image Transcription. - Leonardo Ferreira Guilhoto, Paris Perdikaris:
Deep Learning Alternatives of the Kolmogorov Superposition Theorem. - Randi Wang, Peng Lan, Zuqing Yu, Nianli Lu:
General Conversion between ANCF and B-spline Surfaces. - Dung Nguyen Manh, Thang Phan Chau, Nam Le Hai, Thong T. Doan, Nam V. Nguyen, Quang Pham, Nghi D. Q. Bui:
CodeMMLU: A Multi-Task Benchmark for Assessing Code Understanding Capabilities of CodeLLMs. - Davide Pradovera, Ion Victor Gosea, Jan Heiland:
Barycentric rational approximation for learning the index of a dynamical system from limited data. - S. Parisa Dajkhosh, Peter M. Le, Orges Furxhi, Eddie L. Jacobs:
SkyAI Sim: An Open-Source Simulation of UAV Aerial Imaging from Satellite Data. - Pranav Jeevan, Neeraj Nixon, Amit Sethi:
Normalizing Flow-Based Metric for Image Generation. - Lucas Rosenblatt, R. Teal Witter:
FairlyUncertain: A Comprehensive Benchmark of Uncertainty in Algorithmic Fairness. - Vasilis Siomos, Sergio Naval Marimont, Jonathan Passerat-Palmbach, Giacomo Tarroni:
Addressing Data Heterogeneity in Federated Learning with Adaptive Normalization-Free Feature Recalibration. - Samiur Rahman, Mohammad Shamim Ahsan, Tim Chen, Vijayakumar Varadarajan:
A Census-Based Genetic Algorithm for Target Set Selection Problem in Social Networks. - James Flemings, Meisam Razaviyayn, Murali Annavaram:
Adaptively Private Next-Token Prediction of Large Language Models. - Greg B. Fotopoulos, Paul Popovich, Nicholas Hall Papadopoulos:
Review Non-convex Optimization Method for Machine Learning. - Wenkai Dai, Klaus-Tycho Foerster, Stefan Schmid:
On the Resilience of Fast Failover Routing Against Dynamic Link Failures. - Jiaqing Xie, Yue Zhao, Tianfan Fu:
DeepProtein: Deep Learning Library and Benchmark for Protein Sequence Learning. - Bolun (Namir) Xia, Aparna Gupta, Mohammed J. Zaki:
FLAG: Financial Long Document Classification via AMR-based GNN. - Yuan Zhou, Peng Zhang, Mengya Song, Alice Zheng, Yiwen Lu, Zhiheng Liu, Yong Chen, Zhaohan Xi:
Zodiac: A Cardiologist-Level LLM Framework for Multi-Agent Diagnostics. - Kyle Buettner, Adriana Kovashka:
Quantifying the Gaps Between Translation and Native Perception in Training for Multimodal, Multilingual Retrieval. - Qian Ruan, Ilia Kuznetsov, Iryna Gurevych:
Are Large Language Models Good Classifiers? A Study on Edit Intent Classification in Scientific Document Revisions. - André Augusto, Rafael Belchior, Jonas Pfannschmidt, André Vasconcelos, Miguel Correia:
XChainWatcher: Monitoring and Identifying Attacks in Cross-Chain Bridges. - Kyle Vedder, Neehar Peri, Ishan Khatri, Siyi Li, Eric Eaton, Mehmet Kocamaz, Yue Wang, Zhiding Yu, Deva Ramanan, Joachim Pehserl:
Neural Eulerian Scene Flow Fields. - Xin Li, Zhihong Jeff Xia, Xiaotao Zheng:
Model Comparisons: XNet Outperforms KAN. - Annan Yu, Dongwei Lyu, Soon Hoe Lim, Michael W. Mahoney, N. Benjamin Erichson:
Tuning Frequency Bias of State Space Models. - Kyungmin Kim, Davide Corsi, Andoni Rodríguez, JB Lanier, Benjami Parellada, Pierre Baldi, César Sánchez, Roy Fox:
Realizable Continuous-Space Shields for Safe Reinforcement Learning. - Ihyun Nam, Gerry Wan:
Clid: Identifying TLS Clients With Unsupervised Learning on Domain Names. - Syed Irfan Ali Meerza, Jian Liu:
EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated Learning. - Rakesh Podder, Sudipto Ghosh:
Impact of White-Box Adversarial Attacks on Convolutional Neural Networks. - Nick Battle, Markus Solecki Ellyton:
QuickCheck for VDM. - Amir-Hossein Shahidzadeh, Gabriele Caddeo, Koushik Alapati, Lorenzo Natale, Cornelia Fermüller, Yiannis Aloimonos:
FeelAnyForce: Estimating Contact Force Feedback from Tactile Sensation for Vision-Based Tactile Sensors. - Mahshid Dehghani, Amirahmad Shafiee, Ali Shafiei, Neda Fallah, Farahmand Alizadeh, Mohammad Mehdi Gholinejad, Hamid Behroozi, Jafar Habibi, Ehsaneddin Asgari:
Emo3D: Metric and Benchmarking Dataset for 3D Facial Expression Generation from Emotion Description. - Xiao Yu, Baolin Peng, Vineeth Vajipey, Hao Cheng, Michel Galley, Jianfeng Gao, Zhou Yu:
ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning. - Maurizio Vergari, Tanja Kojic, Wafaa Wardah, Maximilian Warsinke, Sebastian Möller, Jan-Niklas Voigt-Antons, Robert P. Spang:
Digital Eyes: Social Implications of XR EyeSight. - Annalisa Szymanski, Simret Araya Gebreegziabher, Oghenemaro Anuyah, Ronald A. Metoyer, Toby Jia-Jun Li:
Comparing Criteria Development Across Domain Experts, Lay Users, and Models in Large Language Model Evaluation. - James Baker:
Using Style Ambiguity Loss to Improve Aesthetics of Diffusion Models. - Julian Lenz, Anirudh Mani:
PerTok: Expressive Encoding and Modeling of Symbolic Musical Ideas and Variations. - Zefang Liu, Yinzhu Quan:
TPP-LLM: Modeling Temporal Point Processes by Efficiently Fine-Tuning Large Language Models. - Christopher Ackerman, Nina Panickssery:
Inspection and Control of Self-Generated-Text Recognition Ability in Llama3-8b-Instruct. - Jing He, Haodong Li, Yongzhe Hu, Guibao Shen, Yingjie Cai, Weichao Qiu, Ying-Cong Chen:
DisEnvisioner: Disentangled and Enriched Visual Prompt for Customized Image Generation. - Jiabin Lin, Shana Moothedath, Namrata Vaswani:
Fast and Sample Efficient Multi-Task Representation Learning in Stochastic Contextual Bandits. - Mariia Drozdova, Vitaliy Kinakh, Yury Belousov, Erica Lastufka, Slava Voloshynovskiy:
Semi-Supervised Fine-Tuning of Vision Foundation Models with Content-Style Decomposition. - Aitian Ma, Dongsheng Luo, Mo Sha:
MMFNet: Multi-Scale Frequency Masking Neural Network for Multivariate Time Series Forecasting. - Reetwika Basu, Siddharth Chaudhary, Chinmay Deval, Alqamah Sayeed, Kelsey Herndon, Robert E. Griffin:
Estimating Disaster Resilience of Hurricane Helene on Florida Counties. - Alzayat Saleh, Melanie Olsen, Bouchra Senadji, Mostafa Rahimi Azghadi:
Learning from the Giants: A Practical Approach to Underwater Depth and Surface Normals Estimation. - Aleksei Bochkovskii, Amaël Delaunoy, Hugo Germain, Marcel Santos, Yichao Zhou, Stephan R. Richter, Vladlen Koltun:
Depth Pro: Sharp Monocular Metric Depth in Less Than a Second. - Yang Shi, Young-joo Chung:
Price-guided user attention in large-scale E-commerce group recommendation. - Mohammadamin Moradi, Shirin Panahi, Erik M. Bollt, Ying-Cheng Lai:
Kolmogorov-Arnold Network Autoencoders. - Doris Voina, Steven L. Brunton, J. Nathan Kutz:
Deep Generative Modeling for Identification of Noisy, Non-Stationary Dynamical Systems. - Sara Ghazanfari, Alexandre Araujo, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami:
EMMA: Efficient Visual Alignment in Multi-Modal LLMs. - Aitian Ma, Dongsheng Luo, Mo Sha:
MixLinear: Extreme Low Resource Multivariate Time Series Forecasting with 0.1K Parameters. - Thao Nguyen, Kuan-Hao Huang, Ge Liu, Martin D. Burke, Ying Diao, Heng Ji:
FARM: Functional Group-Aware Representations for Small Molecules. - Weihan Xu, Julian J. McAuley, Taylor Berg-Kirkpatrick, Shlomo Dubnov, Hao-Wen Dong:
Generating Symbolic Music from Natural Language Prompts using an LLM-Enhanced Dataset. - Mandeep Kaur Saggi, Amandeep Singh Bhatia, Mensah Isaiah, Humaira Gowher, Sabre Kais:
Multi-Omic and Quantum Machine Learning Integration for Lung Subtypes Classification. - Minoh Jeong, Min Namgung, Zae Myung Kim, Dongyeop Kang, Yao-Yi Chiang, Alfred Hero:
Anchors Aweigh! Sail for Optimal Unified Multi-Modal Representations. - Sadaf Sadeghian, Xiaoxiao Li, Margo I. Seltzer:
HyperBrain: Anomaly Detection for Temporal Hypergraph Brain Networks. - Jonas Gehring, Kunhao Zheng, Jade Copet, Vegard Mella, Taco Cohen, Gabriel Synnaeve:
RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning. - Fangchen Song, Ashish Agarwal, Wen Wen:
The Impact of Generative AI on Collaborative Open-Source Software Development: Evidence from GitHub Copilot. - Ngoc Cuong Nguyen:
First-order empirical interpolation method for real-time solution of parametric time-dependent nonlinear PDEs. - Sabine Muzellec, Drew Linsley, Alekh Karkada Ashok, Ennio Mingolla, Girik Malik, Rufin VanRullen, Thomas Serre:
Tracking objects that change in appearance with phase synchrony. - Daiki Chiba, Hiroki Nakano, Takashi Koide:
DomainLynx: Leveraging Large Language Models for Enhanced Domain Squatting Detection. - Daiki Chiba, Hiroki Nakano, Takashi Koide:
DomainDynamics: Lifecycle-Aware Risk Timeline Construction for Domain Names. - Daiki Chiba, Hiroki Nakano, Takashi Koide:
DomainHarvester: Harvesting Infrequently Visited Yet Trustworthy Domain Names. - Haotian Sun, Tao Lei, Bowen Zhang, Yanghao Li, Haoshuo Huang, Ruoming Pang, Bo Dai, Nan Du:
EC-DIT: Scaling Diffusion Transformers with Adaptive Expert-Choice Routing. - Dara Bahri, John Wieting, Dana Alon, Donald Metzler:
A Watermark for Black-Box Language Models. - Ngoc Cuong Nguyen:
High-order empirical interpolation methods for real time solution of parametrized nonlinear PDEs. - Christopher Scarvelis, David Ben-Haim, Paul Zhang:
Orient Anything. - Michael A. Lepori, Michael Mozer, Asma Ghandeharioun:
Racing Thoughts: Explaining Large Language Model Contextualization Errors. - Xiaobiao Du, Yida Wang, Xin Yu:
MVGS: Multi-view-regulated Gaussian Splatting for Novel View Synthesis. - Amirsaeid Safari, Jesse B. Hoagg:
Safe Navigation in Unmapped Environments for Robotic Systems with Input Constraints. - Zishun Liu, Saber Jafarpour, Yongxin Chen:
Safety Verification of Stochastic Systems: A Set-Erosion Approach. - Xiangyu Peng, Congying Xia, Xinyi Yang, Caiming Xiong, Chien-Sheng Wu, Chen Xing:
ReGenesis: LLMs can Grow into Reasoning Generalists via Self-Improvement. - Amogh Mannekote, Adam Davies, Jina Kang, Kristy Elizabeth Boyer:
Can LLMs Reliably Simulate Human Learner Actions? A Simulation Authoring Framework for Open-Ended Learning Environments. - Chun-Wun Cheng, Jiahao Huang, Yi Zhang, Guang Yang, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Mamba Neural Operator: Who Wins? Transformers vs. State-Space Models for PDEs. - Zecheng Tang, Keyan Zhou, Juntao Li, Baibei Ji, Jianye Hou, Min Zhang:
L-CiteEval: Do Long-Context Models Truly Leverage Context for Responding? - Siddharth Joshi, Jiayi Ni, Baharan Mirzasoleiman:
Dataset Distillation via Knowledge Distillation: Towards Efficient Self-Supervised Pre-Training of Deep Networks. - Andres Potapczynski, Shikai Qiu, Marc Finzi, Christopher Ferri, Zixi Chen, Micah Goldblum, C. Bayan Bruss, Christopher De Sa, Andrew Gordon Wilson:
Searching for Efficient Linear Layers over a Continuous Space of Structured Matrices. - Bin Wu, Sifu Luo, C. Steve Suh:
A Comprehensive Review of Propagation Models in Complex Networks: From Deterministic to Deep Learning Approaches. - Ya Lian, Wensheng Lin, Lixin Li, Fucheng Yang, Zhu Han, Tad Matsumoto:
Lossy Cooperative UAV Relaying Networks: Outage Probability Analysis and Location Optimization. - Yufeng Zheng, Lixin Li, Wensheng Lin, Wei Liang, Qinghe Du, Zhu Han:
Resource Allocation Based on Optimal Transport Theory in ISAC-Enabled Multi-UAV Networks. - Randy Ardywibowo, Rakesh Sunki, Lucy Kuo, Sankalp Nayak:
BayesCNS: A Unified Bayesian Approach to Address Cold Start and Non-Stationarity in Search Systems at Scale. - Stefan Juang, Hugh Cao, Arielle Zhou, Ruochen Liu, Nevin L. Zhang, Elvis S. Liu:
Breaking the mold: The challenge of large scale MARL specialization. - Trung X. Pham, Tri Ton, Chang D. Yoo:
MDSGen: Fast and Efficient Masked Diffusion Temporal-Aware Transformers for Open-Domain Sound Generation. - Manh Pham, Aaqib Saeed, Dong Ma:
C-MELT: Contrastive Enhanced Masked Auto-Encoders for ECG-Language Pre-Training. - Konstantin Pieper, Zezhong Zhang, Guannan Zhang:
Nonuniform random feature models using derivative information. - Ziyang Song, Qingcheng Lu, He Zhu, David Buckeridge, Yue Li:
TrajGPT: Irregular Time-Series Representation Learning for Health Trajectory Analysis. - Ning Liu, Lu Zhang, Tian Gao, Yue Yu:
Disentangled Representation Learning for Parametric Partial Differential Equations. - Xinting Huang, Andy Yang, Satwik Bhattamishra, Yash Sarrof, Andreas Krebs, Hattie Zhou, Preetum Nakkiran, Michael Hahn:
A Formal Framework for Understanding Length Generalization in Transformers. - Yiqun Duan, Qiang Zhang, Jinzhao Zhou, Jingkai Sun, Xiaowei Jiang, Jiahang Cao, Jiaxu Wang, Yiqian Yang, Wen Zhao, Gang Han, Yijie Guo, Chin-Teng Lin:
E2H: A Two-Stage Non-Invasive Neural Signal Driven Humanoid Robotic Whole-Body Control Framework. - Franci Franulovic, Shawana Tabassum:
A Miniature Potentiostat for Impedance Spectroscopy and Cyclic Voltammetry in Wearable Sensor Integration. - Wei Guo, Yuchen Zhu, Molei Tao, Yongxin Chen:
Plug-and-Play Controllable Generation for Discrete Masked Models. - Xinlei Niu, Jing Zhang, Charles Patrick Martin:
SoundMorpher: Perceptually-Uniform Sound Morphing with Diffusion Model. - Erica Zhang, Fangzhao Zhang, Mert Pilanci:
Active Learning of Deep Neural Networks via Gradient-Free Cutting Planes. - Gaurav Patel, Christopher M. Sandino, Behrooz Mahasseni, Ellen L. Zippi, Erdrin Azemi, Ali Moin, Juri Minxha:
Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement. - Tim Puphal, Ryohei Hirano, Takayuki Kawabuchi, Akihito Kimata, Julian Eggert:
Reducing Warning Errors in Driver Support with Personalized Risk Maps. - Haruka Fukushima, Daniel Plesniak, Daisuke Bekki:
Matrix and Relative Weak Crossover in Japanese: An Experimental Investigation. - Takashi Furuya, Koichi Taniguchi, Satoshi Okuda:
Quantitative Approximation for Neural Operators in Nonlinear Parabolic Equations. - Arun V. Reddy, Ketul Shah, Corban Rivera, William Paul, Celso M. de Melo, Rama Chellappa:
An Evaluation of Large Pre-Trained Models for Gesture Recognition using Synthetic Videos. - Pedram Rabiee, Jesse B. Hoagg:
Guaranteed-Safe MPPI Through Composite Control Barrier Functions for Efficient Sampling in Multi-Constrained Robotic Systems. - Wanpeng Zhang, Zilong Xie, Yicheng Feng, Yijiang Li, Xingrun Xing, Sipeng Zheng, Zongqing Lu:
From Pixels to Tokens: Byte-Pair Encoding on Quantized Visual Modalities. - Tonghe Zhuang, Zhicheng Lin:
The why, what, and how of AI-based coding in scientific research. - Md Joshem Uddin, Astrit Tola, Varin Sikand, Cuneyt Gurcan Akcora, Baris Coskunuzer:
ClassContrast: Bridging the Spatial and Contextual Gaps for Node Representations. - Mansi Sakarvadia, Aswathy Ajith, Arham Khan, Nathaniel Hudson, Caleb Geniesse, Kyle Chard, Yaoqing Yang, Ian T. Foster, Michael W. Mahoney:
Mitigating Memorization In Language Models. - Ayush Agarwal, Lv Lu, Arjun Maheswaran, Varsha Mahadevan, Bhaskar Krishnamachari:
RiskSEA : A Scalable Graph Embedding for Detecting On-chain Fraudulent Activities on the Ethereum Blockchain. - Karthik Valmeekam, Kaya Stechly, Atharva Gundawar, Subbarao Kambhampati:
Planning in Strawberry Fields: Evaluating and Improving the Planning and Scheduling Capabilities of LRM o1. - Collin Zhang, Tingwei Zhang, Vitaly Shmatikov:
Controlled Generation of Natural Adversarial Documents for Stealthy Retrieval Poisoning. - Reza Ghane, Danil Akhtiamov, Babak Hassibi:
Universality in Transfer Learning for Linear Models. - Yucheng Chu, Hang Li, Kaiqi Yang, Harry Shomer, Hui Liu, Yasemin Copur-Gencturk, Jiliang Tang:
A LLM-Powered Automatic Grading Framework with Human-Level Guidelines Optimization. - Hongkang Li, Meng Wang, Songtao Lu, Xiaodong Cui, Pin-Yu Chen:
Training Nonlinear Transformers for Chain-of-Thought Inference: A Theoretical Generalization Analysis. - Siyang Li, Yize Chen, Hui Xiong:
Channel-aware Contrastive Conditional Diffusion for Multivariate Probabilistic Time Series Forecasting. - Chao Huang, Hao Zhang, Zhuping Wang:
Simulation Results of Center-Manifold-Based Identification of Polynomial Nonlinear Systems with Uncontrollable Linearization. - Hansheng Wang, Lu Shi, Zhekai duan, Panruo Wu, Liwei Guo, Shaoshuai Zhang:
Extracting the Potential of Emerging Hardware Accelerators for Symmetric Eigenvalue Decomposition. - Shreyas Chaudhari, Ameet Deshpande, Bruno Castro da Silva, Philip S. Thomas:
Abstract Reward Processes: Leveraging State Abstraction for Consistent Off-Policy Evaluation. - Michael J. Zellinger, Matt Thomson:
Efficiently Deploying LLMs with Controlled Risk. - Ke Chen, Chugang Yi, Haizhao Yang:
Towards Better Generalization: Weight Decay Induces Low-rank Bias for Neural Networks. - Adrian Chan, Anupam Mijar, Mehreen Saeed, Chau-Wai Wong, Akram Khater:
HATFormer: Historic Handwritten Arabic Text Recognition with Transformers. - Zheng Zhang, Xu Yuan, Lei Zhu, Jingkuan Song, Liqiang Nie:
BadCM: Invisible Backdoor Attack Against Cross-Modal Learning. - Weixi Tong, Tianyi Zhang:
CodeJudge: Evaluating Code Generation with Large Language Models. - Anwoy Chatterjee, H. S. V. N. S. Kowndinya Renduchintala, Sumit Bhatia, Tanmoy Chakraborty:
POSIX: A Prompt Sensitivity Index For Large Language Models. - Ao Li, Yuexiang Xie, Songze Li, Fugee Tsung, Bolin Ding, Yaliang Li:
Agent-Oriented Planning in Multi-Agent Systems. - Qianru Zhang, Peng Yang, Junliang Yu, Haixin Wang, Xingwei He, Siu-Ming Yiu, Hongzhi Yin:
A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security. - Zhutian Yang, Caelan Reed Garrett, Dieter Fox, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Guiding Long-Horizon Task and Motion Planning with Vision Language Models. - Xiao Lin, Zhining Liu, Dongqi Fu, Ruizhong Qiu, Hanghang Tong:
BACKTIME: Backdoor Attacks on Multivariate Time Series Forecasting. - Yifan Zhang, Ge Zhang, Yue Wu, Kangping Xu, Quanquan Gu:
General Preference Modeling with Preference Representations for Aligning Language Models. - Zhaoning Yu, Xiangyang Xu, Hongyang Gao:
G2T-LLM: Graph-to-Tree Text Encoding for Molecule Generation with Fine-Tuned Large Language Models. - Yuka Hashimoto, Tomoharu Iwata:
Deep Koopman-layered Model with Universal Property Based on Toeplitz Matrices. - Minh Le, Chau Nguyen, Huy Nguyen, Quyen Tran, Trung Le, Nhat Ho:
Revisiting Prefix-tuning: Statistical Benefits of Reparameterization among Prompts. - Hang Guo, Yuzhen Zhang, Tianci Gao, Junning Su, Pei Lv, Mingliang Xu:
Remember and Recall: Associative-Memory-based Trajectory Prediction. - Pedro Colon-Hernandez, Nanxi Liu, Chelsea Joe, Sang (Peter) Chin, Claire Yin, Henry Lieberman, Yida Xin, Cynthia Breazeal:
Can Language Models Take A Hint? Prompting for Controllable Contextualized Commonsense Inference. - Jiale Fu, Yaqing Wang, Simeng Han, Jiaming Fan, Chen Si, Xu Yang:
GraphIC: A Graph-Based In-Context Example Retrieval Model for Multi-Step Reasoning. - Youssef Diouane, Selime Gürol, Oussama Mouhtal, Dominique Orban:
An Efficient Scaled spectral preconditioner for sequences of symmetric positive definite linear systems. - Yinhong Liu, Zhijiang Guo, Tianya Liang, Ehsan Shareghi, Ivan Vulic, Nigel Collier:
Aligning with Logic: Measuring, Evaluating and Improving Logical Consistency in Large Language Models. - Qingyuan Liu, Avideh Zakhor:
Adapting Segment Anything Model to Melanoma Segmentation in Microscopy Slide Images. - Xiumei Li, Zongxi Chen, Fei Li:
Some three-weight linear codes and their complete weight enumerators and weight hierarchies. - Wei Cheng, Tianlu Wang, Yanmin Ji, Fan Yang, Keren Tan, Yiyu Zheng:
Calibrate to Discriminate: Improve In-Context Learning with Label-Free Comparative Inference. - Wentao Huang, Xiaoling Hu, Shahira Abousamra, Prateek Prasanna, Chao Chen:
Hard Negative Sample Mining for Whole Slide Image Classification. - Saurabh Singh, Ian Fischer:
Stochastic Sampling from Deterministic Flow Models. - Bingjie Huang, Qingyi Lu, Shuaishuai Huang, Xue-she Wang, Haowei Yang:
Multi-modal clothing recommendation model based on large model and VAE enhancement. - Xiaoqun Liu, Jiacheng Liang, Luoxi Tang, Chenyu You, Muchao Ye, Zhaohan Xi:
Buckle Up: Robustifying LLMs at Every Customization Stage via Data Curation. - Arvin Tashakori, Zenan Jiang, Amir Servati, Saeid Soltanian, Harishkumar Narayana, Katherine Le, Caroline Nakayama, Chieh-ling Yang, Z. Jane Wang, Janice J. Eng, Peyman Servati:
Capturing complex hand movements and object interactions using machine learning-powered stretchable smart textile gloves. - Richard Zhuang, Tianhao Wu, Zhaojin Wen, Andrew Li, Jiantao Jiao, Kannan Ramchandran:
EmbedLLM: Learning Compact Representations of Large Language Models. - Yangyang Qiu, Guoan Xu, Guangwei Gao, Zhenhua Guo, Yi Yu, Chia-Wen Lin:
Efficient Semantic Segmentation via Lightweight Multiple-Information Interaction Network. - Shuze Liu, Claire Chen, Shangtong Zhang:
Doubly Optimal Policy Evaluation for Reinforcement Learning. - Huimu Yu, Xing Wu, Weidong Yin, Debing Zhang, Songlin Hu:
CodePMP: Scalable Preference Model Pretraining for Large Language Model Reasoning. - Keyu Wang, Abdullah Norozi Iranzad, Scott Schaffter, Doina Precup, Jonathan Lebensold:
Mitigating Downstream Model Risks via Model Provenance. - Chengyang Gu, Yuxin Pan, Haotian Bai, Hui Xiong, Yize Chen:
SEAL: SEmantic-Augmented Imitation Learning via Language Model. - Yijia Chen, Lionel Parreaux:
The Long Way to Deforestation (Technical Report): A Type Inference and Elaboration Technique for Removing Intermediate Data Structures. - Xiaoyu Fan, Kun Chen, Jiping Yu, Xiaowei Zhu, Yunyi Chen, Huanchen Zhang, Wei Xu:
GORAM: Graph-oriented ORAM for Efficient Ego-centric Queries on Federated Graphs. - Ruohong Liu, Yuxin Pan, Linjie Xu, Lei Song, Pengcheng You, Yize Chen, Jiang Bian:
C-MORL: Multi-Objective Reinforcement Learning through Efficient Discovery of Pareto Front. - Chengkai Hou, Zhengrong Xue, Bingyang Zhou, Jinghan Ke, Lin Shao, Huazhe Xu:
Key-Grid: Unsupervised 3D Keypoints Detection using Grid Heatmap Features. - Haopeng Geng, Daisuke Saito, Nobuaki Minematsu:
A Pilot Study of Applying Sequence-to-Sequence Voice Conversion to Evaluate the Intelligibility of L2 Speech Using a Native Speaker's Shadowings. - Zihao Pan, Weibin Wu, Yuhang Cao, Zibin Zheng:
SCA: Highly Efficient Semantic-Consistent Unrestricted Adversarial Attack. - Zhaojian Yu, Yinghao Wu, Genesis Wang, Heming Weng:
MIGA: Mixture-of-Experts with Group Aggregation for Stock Market Prediction. - Hyunwoo Lee, Hayoung Choi, Hyunju Kim:
Robust Weight Initialization for Tanh Neural Networks with Fixed Point Analysis. - Qixuan Zhang, Zhifeng Wang, Dylan Zhang, Wenjia Niu, Sabrina B. Caldwell, Tom Gedeon, Yang Liu, Zhenyue Qin:
Visual Prompting in LLMs for Enhancing Emotion Recognition. - Soyeon Kim, Yuji Roh, Geon Heo, Steven Euijong Whang:
PFGuard: A Generative Framework with Privacy and Fairness Safeguards. - Xinhao Yao, Hongjin Qian, Xiaolin Hu, Gengze Xu, Yong Liu:
Theoretical Insights into Fine-Tuning Attention Mechanism: Generalization and Optimization. - Jiahang Cao, Mingyuan Sun, Ziqing Wang, Hao Cheng, Qiang Zhang, Shibo Zhou, Renjing Xu:
Spiking Neural Network as Adaptive Event Stream Slicer. - Dominik J. Mühlematter, Sebastian Schweizer, Chenjing Jiao, Xue Xia, Magnus Heitzler, Lorenz Hurni:
Probabilistic road classification in historical maps using synthetic data and deep learning. - Yueyuan Li, Mingyang Jiang, Songan Zhang, Wei Yuan, Chunxiang Wang, Ming Yang:
End-to-end Driving in High-Interaction Traffic Scenarios with Reinforcement Learning. - Abdullah Aydeger, Pei Zhou, Sanzida Hoque, Marco Carvalho, Engin Zeydan:
MTDNS: Moving Target Defense for Resilient DNS Infrastructure. - Nam T. Nguyen, Juan C. Tique:
Physics-Constrained Taylor Neural Networks for Learning and Control of Dynamical Systems. - Abdulaziz Gulay, Leandros Maglaras:
Alignment of Cybersecurity Incident Prioritisation with Incident Response Management Maturity Capabilities. - Mohammadreza Rostami, Solmaz S. Kia:
FedScalar: A Communication efficient Federated Learning. - Piyawat Lertvittayakumjorn, Shanqing Cai, Billy Dou, Cedric Ho, Shumin Zhai:
Can Capacitive Touch Images Enhance Mobile Keyboard Decoding? - Yunchuan Guan, Yu Liu, Ketong Liu, Ke Zhou, Zhiqi Shen:
Unsupervised Meta-Learning via Dynamic Head and Heterogeneous Task Construction for Few-Shot Classification. - Tianchi Xie, Jiangning Zhu, Guozu Ma, Minzhi Lin, Wei Chen, Weikai Yang, Shixia Liu:
Structural-Entropy-Based Sample Selection for Efficient and Effective Learning. - Francesco Emanuele Stradi, Anna Lunghi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti:
Best-of-Both-Worlds Policy Optimization for CMDPs with Bandit Feedback. - Junda Wu, Warren Li, Zachary Novack, Amit Namburi, Carol Chen, Julian J. McAuley:
CoLLAP: Contrastive Long-form Language-Audio Pretraining with Musical Temporal Structure Augmentation. - Yueqing Xuan, Kacper Sokol, Mark Sanderson, Jeffrey Chan:
Perfect Counterfactuals in Imperfect Worlds: Modelling Noisy Implementation of Actions in Sequential Algorithmic Recourse. - Mahyar Afshinmehr, Mehrafarin Kazemi, Kurt Mehlhorn:
MMS Approximations Under Additive Leveled Valuations. - Francesco Emanuele Stradi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti:
Optimal Strong Regret and Violation in Constrained MDPs via Policy Optimization. - Arthur Amalvy, Vincent Labatut:
Annotation Guidelines for Corpus Novelties: Part 1 - Named Entity Recognition. - Óscar García-Sierra, Ana M. Fernández-Pampillón Cesteros, Miguel Ortega-Martín:
Morphological evaluation of subwords vocabulary used by BETO language model. - Letian Peng, Chenyang An, Jingbo Shang:
Correlation and Navigation in the Vocabulary Key Representation Space of Language Models. - Yu Cao, Xin Duan, Xiangqiao Meng, P. Y. Mok, Ping Li, Tong-Yee Lee:
Computer-aided Colorization State-of-the-science: A Survey. - Akanksha Das, Malay Bhattacharyya:
Density based Spatial Clustering of Lines via Probabilistic Generation of Neighbourhood. - James Vo:
Efficient Second-Order Neural Network Optimization via Adaptive Trust Region Methods. - Kohya Shiozaki, Junya Nakamura:
Selection Guidelines for Geographical SMR Protocols: A Communication Pattern-based Latency Modeling Approach. - Zhe Xu, Kaveh Hassani, Si Zhang, Hanqing Zeng, Michihiro Yasunaga, Limei Wang, Dongqi Fu, Ning Yao, Bo Long, Hanghang Tong:
Language Models are Graph Learners. - Yongsik Seo, Sungwon Song, Ryang Heo, Jieyong Kim, Dongha Lee:
Make Compound Sentences Simple to Analyze: Learning to Split Sentences for Aspect-based Sentiment Analysis. - Guobin Shen, Dongcheng Zhao, Yiting Dong, Xiang He, Yi Zeng:
Jailbreak Antidote: Runtime Safety-Utility Balance via Sparse Representation Adjustment in Large Language Models. - Wanyi Liu, Long Chen, Zhenzhou Tang:
Large Language Model Aided Multi-objective Evolutionary Algorithm: a Low-cost Adaptive Approach. - Abanoub M. Girgis, Hyowoon Seo, Mehdi Bennis:
Semantic Communication and Control Co-Design for Multi-Objective Correlated Dynamics. - Shayan Rokhva, Babak Teimourpour:
A Novel Method for Accurate & Real-time Food Classification: The Synergistic Integration of EfficientNetB7, CBAM, Transfer Learning, and Data Augmentation. - Mingxuan Li, Kai Zhou:
The Comparison of Individual Cat Recognition Using Neural Networks. - Ege Berkay Gulcan, Burcu Kulahcioglu Ozkan, Rupak Majumdar, Srinidhi Nagendra:
Model-guided Fuzzing of Distributed Systems. - Rui Meng, Ye Liu, Lifu Tu, Daqing He, Yingbo Zhou, Semih Yavuz:
Traffic Light or Light Traffic? Investigating Phrasal Semantics in Large Language Models. - Min-Si Ren, Yan-Ming Zhang, Yi Chen:
Decoupling Layout from Glyph in Online Chinese Handwriting Generation. - Filippo Bragato, Marco Giordani, Michele Zorzi:
Federated Reinforcement Learning to Optimize Teleoperated Driving Networks. - Thomas Buddenkotte, Roland Opfer, Julia Krüger, Alessa Hering, Mireia Crispin-Ortuzar:
CTARR: A fast and robust method for identifying anatomical regions on CT images via atlas registration. - Takeru Matsuda, Yuji Nakatsukasa:
Polynomial approximation of noisy functions. - Johann Huber, François Hélénon, Mathilde Kappel, Ignacio de Loyola Páez-Ubieta, Santiago T. Puente, Pablo Gil, Faïz Ben Amar, Stéphane Doncieux:
QDGset: A Large Scale Grasping Dataset Generated with Quality-Diversity. - Nathaniel Berger, Stefan Riezler, Miriam Exel, Matthias Huck:
Post-edits Are Preferences Too. - Zikun Zhang, Zixiang Chen, Quanquan Gu:
Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis. - Remco Royen, Kostas Pataridis, Ward van der Tempel, Adrian Munteanu:
RESSCAL3D++: Joint Acquisition and Semantic Segmentation of 3D Point Clouds. - Yi Yang, Yiming Wang, ZhiQiang Tang, Jiahong Yuan:
Automated Tone Transcription and Clustering with Tone2Vec. - Mohamed I. Hany, Hamada Rizk, Moustafa A. Youssef:
AirTags for Human Localization, Not Just Objects. - Tianxiang Chen, Zhentao Tan, Tao Gong, Yue Wu, Qi Chu, Bin Liu, Jieping Ye, Nenghai Yu:
Llama SLayer 8B: Shallow Layers Hold the Key to Knowledge Injection. - Junlin Hou, Sicen Liu, Yequan Bie, Hongmei Wang, Andong Tan, Luyang Luo, Hao Chen:
Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks. - Nasser Ghadiri, Bahman Javadi, Oliver Obst, Sebastian Pfautsch:
Data Optimisation of Machine Learning Models for Smart Irrigation in Urban Parks. - Jingyu Liu, Jiaen Lin, Yong Liu:
How Much Can RAG Help the Reasoning of LLM? - Federico Milano:
Equivalence between Geometric Frequency and Lagrange Derivative. - Mohammad Kazemi, Tolga M. Duman:
Capacity Bounds for the Poisson-Repeat Channel. - Eduard Tulchinskii, Laida Kushnareva, Kristian Kuznetsov, Anastasia Voznyuk, Andrei Andriiainen, Irina Piontkovskaya, Evgeny Burnaev, Serguei Barannikov:
Listening to the Wise Few: Select-and-Copy Attention Heads for Multiple-Choice QA. - Felix Zimmer:
RelChaNet: Neural Network Feature Selection using Relative Change Scores. - Hin Wang Lin, Pengyu Wang, Zhaohua Yang, Ka Chun Leung, Fangming Bao, Ka Yu Kui, Jian Xiang Erik Xu, Ling Shi:
Coastal Underwater Evidence Search System with Surface-Underwater Collaboration. - Etienne Boursier, Nicolas Flammarion:
Simplicity bias and optimization threshold in two-layer ReLU networks. - Remco Royen, Leon Denis, Adrian Munteanu:
ProtoSeg: A Prototype-Based Point Cloud Instance Segmentation Method. - Junfeng Fang, Houcheng Jiang, Kun Wang, Yunshan Ma, Xiang Wang, Xiangnan He, Tat-Seng Chua:
AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models. - Guanyu Xiong, Yan Gao, Haijiang Li:
Cross-Domain Comparative Analysis of Digital Twins and Universalised Solutions. - Frida Heskebeck, Carolina Bergeling, Bo Bernhardsson:
Source Data Selection for Brain-Computer Interfaces based on Simple Features. - Shubhi Bansal, Sreeharish A, Madhava Prasath J, Manikandan S, Sreekanth Madisetty, Mohammad Zia Ur Rehman, Chandravardhan Singh Raghaw, Gaurav Duggal, Nagendra Kumar:
A Comprehensive Survey of Mamba Architectures for Medical Image Analysis: Classification, Segmentation, Restoration and Beyond. - Haodong Xie, Rahul Singh Maharjan, Federico Tavella, Angelo Cangelosi:
From Concrete to Abstract: A Multimodal Generative Approach to Abstract Concept Learning. - Jintao Zhang, Jia wei, Pengle Zhang, Jun Zhu, Jianfei Chen:
SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference Acceleration. - Muzhi Zhu, Yang Liu, Zekai Luo, Chenchen Jing, Hao Chen, Guangkai Xu, Xinlong Wang, Chunhua Shen:
Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation. - Haowei Hua, Wanyu Lin, Jingwen Yang:
Fast Crystal Tensor Property Prediction: A General O(3)-Equivariant Framework Based on Polar Decomposition. - Junyu Lu, Bo Xu, Xiaokun Zhang, Hongbo Wang, Haohao Zhu, Dongyu Zhang, Liang Yang, Hongfei Lin:
Towards Comprehensive Detection of Chinese Harmful Memes. - Genta Indra Winata, David Anugraha, Lucky Susanto, Garry Kuwanto, Derry Tanti Wijaya:
MetaMetrics: Calibrating Metrics For Generation Tasks Using Human Preferences. - Shuangpeng Han, Mengmi Zhang:
Unveiling AI's Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors. - Mehran Mirramezani, Anne S. Meeussen, Katia Bertoldi, Peter Orbanz, Ryan P. Adams:
Designing Mechanical Meta-Materials by Learning Equivariant Flows. - Gustav Wagner Zakarias, Lars Kai Hansen, Zheng-Hua Tan:
BiSSL: Bilevel Optimization for Self-Supervised Pre-Training and Fine-Tuning. - Kenshi Abe, Mitsuki Sakamoto, Kaito Ariu, Atsushi Iwasaki:
Boosting Perturbed Gradient Ascent for Last-Iterate Convergence in Games. - Zeyu Feng, Hao Luan, Kevin Yuchen Ma, Harold Soh:
Diffusion Meets Options: Hierarchical Generative Skill Composition for Temporally-Extended Tasks. - Francisco Díaz-Ruiz, Francisco J. Martín-Vega, Gerardo Gómez, Mari Carmen Aguayo Torres:
Optimizing MIMO Efficiency in 5G through Precoding Matrix Techniques. - Rubén Ballester, Ernst Röell, Daniel Bin Schmid, Mathieu Alain, Sergio Escalera, Carles Casacuberta, Bastian Rieck:
MANTRA: The Manifold Triangulations Assemblage. - Yizhang Zou, Xuegang Hu, Pei-Pei Li, Jun Hu, You Wu:
Online Multi-Label Classification under Noisy and Changing Label Distribution. - Guodong Du, Junlin Lee, Jing Li, Runhua Jiang, Yifei Guo, Shuyang Yu, Hanting Liu, Sim Kuan Goh, Ho-Kin Tang, Daojing He, Min Zhang:
Parameter Competition Balancing for Model Merging. - Sarah Sachs, Hédi Hadiji, Tim van Erven, Mathias Staudigl:
An Online Feasible Point Method for Benign Generalized Nash Equilibrium Problems. - Nikolaos Giakoumoglou, Tania Stathaki:
SynCo: Synthetic Hard Negatives in Contrastive Learning for Better Unsupervised Visual Representations. - Shuling Li, Yaping Sun, Jinbei Zhang, Kechao Cai, Hao Chen, Shuguang Cui, Xiaodong Xu:
Cooperative Semantic Knowledge Base Update Policy for Multiple Semantic Communication Pairs. - Mengxu Pan, Alexandra Kitson, Hongyu Wan, Mirjana Prpa:
ELLMA-T: an Embodied LLM-agent for Supporting English Language Learning in Social VR. - Gabriel C. M. da Silva, Victor Farias Monteiro, Diego Aguiar Sousa, Darlan C. Moreira, Tarcisio F. Maciel, Fco. Rafael M. Lima, Behrooz Makki:
Cellular Network Densification: a System-level Analysis with IAB, NCR and RIS. - Seyedmorteza Sadat, Otmar Hilliges, Romann M. Weber:
Eliminating Oversaturation and Artifacts of High Guidance Scales in Diffusion Models. - Ido Cohen, Jacob Gidron, Idan Pinto:
MenakBERT - Hebrew Diacriticizer. - Karim Slimani, Brahim Tamadazte, Catherine Achard:
LoGDesc: Local geometric features aggregation for robust point cloud registration. - Ségolène Martin, Anne Gagneux, Paul Hagemann, Gabriele Steidl:
PnP-Flow: Plug-and-Play Image Restoration with Flow Matching. - Malgorzata Lazuka, Andreea Anghel, Thomas P. Parnell:
LLM-Pilot: Characterize and Optimize Performance of your LLM Inference Services. - Ben Fauber:
Learning the Latent Rules of a Game from Data: A Chess Story. - Minwook Bae, Hyounghun Kim:
Collective Critics for Creative Story Generation. - Tuo An, Yunjiao Zhou, Han Zou, Jianfei Yang:
IoT-LLM: Enhancing Real-World IoT Task Reasoning with Large Language Models. - Ramy Mounir, Sudeep Sarkar:
Predictive Attractor Models. - Mingyang Wang, Lukas Lange, Heike Adel, Jannik Strötgen, Hinrich Schütze:
Better Call SAUL: Fluent and Consistent Language Model Editing with Generation Regularization. - Raul Victor de O. Paiva, Fco. Italo G. Carvalho, Fco. Rafael M. Lima, Victor Farias Monteiro, Diego Aguiar Sousa, Darlan C. Moreira, Tarcisio F. Maciel, Behrooz Makki:
Load Balancing-based Topology Adaptation for Integrated Access and Backhaul Networks. - Jiang You, Arben Çela, René Natowicz, Jacob Ouanounou, Patrick Siarry:
Learning K-U-Net with constant complexity: An Application to time series forecasting. - Abdulrahman Diaa, Toluwani Aremu, Nils Lukas:
Optimizing Adaptive Attacks against Content Watermarks for Language Models. - Takashi Shibuya, Takehito Utsuro:
Embedded Topic Models Enhanced by Wikification. - Giulio Rigoni, Nicola Scremin, Mauro Conti:
Towards a Self-rescuing System for UAVs Under GNSS Attack. - Julia Alekseenko, Bram Stieltjes, Michael Bach, Melanie Boerries, Oliver Opitz, Alexandros Karargyris, Nicolas Padoy:
Clinnova Federated Learning Proof of Concept: Key Takeaways from a Cross-border Collaboration. - Ambar Pal, Rajiv Raman, Saurabh Ray, Karamjeet Singh:
A fast algorithm for computing a planar support for non-piercing rectangles. - Yubo Peng, Feibo Jiang, Li Dong, Kezhi Wang, Kun Yang:
Personalized Federated Learning for Generative AI-Assisted Semantic Communications. - Ziwei Xu, Mohan S. Kankanhalli:
Strong Preferences Affect the Robustness of Value Alignment. - Michaël Soumm, Alexandre Fournier-Mongieux, Adrian Popescu, Bertrand Delezoide:
Quantifying User Coherence: A Unified Framework for Cross-Domain Recommendation Analysis. - Akanksha Das, Jyoti Patel, Malay Bhattacharyya:
Aggregation of Constrained Crowd Opinions for Urban Planning. - Maxime Talarmain, Carlos Boned, Sanket Biswas, Oriol Ramos Terrades:
Recurrent Few-Shot model for Document Verification. - Jessica Smith, David Williams, Emily Brown:
Scalable Differential Privacy Mechanisms for Real-Time Machine Learning Applications. - Kyveli Doveri, Pierre Ganty, B. Srivathsan:
A Myhill-Nerode style Characterization for Timed Automata With Integer Resets. - Seokhyun An, Hyounghun Kim:
Response Tuning: Aligning Large Language Models without Instruction. - Yunhao Chen, Xingjun Ma, Difan Zou, Yu-Gang Jiang:
Towards a Theoretical Understanding of Memorization in Diffusion Models. - Carlos Conejo, Vicenç Puig, Bernardo Morcego, Francisco Navas, Vicente Milanés:
Behavior Trees in Functional Safety Supervisors for Autonomous Vehicles. - Anthony Costarelli, Mat Allen, Severin Field:
Meta-Models: An Architecture for Decoding LLM Behaviors Through Interpreted Embeddings and Natural Language. - Ziye Huang, Haoqi Yuan, Yuhui Fu, Zongqing Lu:
Efficient Residual Learning with Mixture-of-Experts for Universal Dexterous Grasping. - Zakaria Mhammedi:
Online Convex Optimization with a Separation Oracle. - Bohan Zhou, Haoqi Yuan, Yuhui Fu, Zongqing Lu:
Learning Diverse Bimanual Dexterous Manipulation Skills from Human Demonstrations. - Adrian Edin, Zheng Chen, Michel Kieffer, Mikael Johansson:
Temporal Predictive Coding for Gradient Compression in Distributed Learning. - Haoqi Yuan, Bohan Zhou, Yuhui Fu, Zongqing Lu:
Cross-Embodiment Dexterous Grasping with Reinforcement Learning. - Emeralda Sesari, Federica Sarro, Ayushi Rastogi:
It is Giving Major Satisfaction: Why Fairness Matters for Developers. - Zhen Wang, Yilei Jiang, Dong Zheng, Jun Xiao, Long Chen:
Event-Customized Image Generation. - Donghwan Rho, Taeseong Kim, Minje Park, Jung Woo Kim, Hyunsik Chae, Jung Hee Cheon, Ernest K. Ryu:
Encryption-Friendly LLM Architecture. - Caglar Tunc:
Optimal Digital Twinning of Random Systems with Twinning Rate Constraints. - Hoang Phuc Hau Luu, Hanlin Yu, Bernardo Williams, Marcelo Hartmann, Arto Klami:
Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold. - Xuchen Li, Shiyu Hu, Xiaokun Feng, Dailing Zhang, Meiqi Wu, Jing Zhang, Kaiqi Huang:
DTVLT: A Multi-modal Diverse Text Benchmark for Visual Language Tracking Based on LLM. - Mojtaba Nikahd, Seyed Abolfazl Motahari:
Efficient learning of differential network in multi-source non-paranormal graphical models. - Simin Fan, David Grangier, Pierre Ablin:
Dynamic Gradient Alignment for Online Data Mixing. - Constanza Fierro, Ruchira Dhar, Filippos Stamatiou, Nicolas Garneau, Anders Søgaard:
Defining Knowledge: Bridging Epistemology and Large Language Models. - Jihyoung Jang, Taeyoung Kim, Hyounghun Kim:
Mixed-Session Conversation with Egocentric Memory. - Kai Liu, Ziqing Zhang, Wenbo Li, Renjing Pei, Fenglong Song, Xiaohong Liu, Linghe Kong, Yulun Zhang:
Dog-IQA: Standard-guided Zero-shot MLLM for Mix-grained Image Quality Assessment. - Guibin Zhang, Yanwei Yue, Zhixun Li, Sukwon Yun, Guancheng Wan, Kun Wang, Dawei Cheng, Jeffrey Xu Yu, Tianlong Chen:
Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems. - Weikang Yuan, Junjie Cao, Zhuoren Jiang, Yangyang Kang, Jun Lin, Kaisong Song, Tianqianjin Lin, Pengwei Yan, Changlong Sun, Xiaozhong Liu:
Can Large Language Models Grasp Legal Theories? Enhance Legal Reasoning with Insights from Multi-Agent Collaboration. - James Gao, Jacob Lee, Yuting Zhou, Yunze Hu, Chang Liu, Pingping Zhu:
SwarmCVT: Centroidal Voronoi Tessellation-Based Path Planning for Very-Large-Scale Robotics. - Yun Qu, Boyuan Wang, Yuhang Jiang, Jianzhun Shao, Yixiu Mao, Cheems Wang, Chang Liu, Xiangyang Ji:
Choices are More Important than Efforts: LLM Enables Efficient Multi-Agent Exploration. - Mucong Ding, Bang An, Yuancheng Xu, Anirudh Satheesh, Furong Huang:
SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation. - Emily Diana, Saeed Sharifi-Malvajerdi, Ali Vakilian:
Minimax Group Fairness in Strategic Classification. - Vasanth Reddy, Suat Gumussoy, Almuatazbellah Boker, Hoda Eldardiry:
Learning Emergence of Interaction Patterns across Independent RL Agents in Multi-Agent Environments. - Mohamed Bouadi, Arta Alavi, Salima Benbernou, Mourad Ouziri:
Semantic-Guided RL for Interpretable Feature Engineering. - Olga Iakovenko, Thomas Hain:
Methods for Automatic Matrix Language Determination of Code-Switched Speech. - John X. Morris, Alexander M. Rush:
Contextual Document Embeddings. - Emir Konuk, Christos Matsoukas, Moein Sorkhei, Phitchapha Lertsiravaramet, Kevin Smith:
Learning from Offline Foundation Features with Tensor Augmentations. - Jingjing Ren, Xiaoyong Zhang, Lina Zhang:
HiFiSeg: High-Frequency Information Enhanced Polyp Segmentation with Global-Local Vision Transformer. - Sandeep Gupta:
An Edge-Computing based Industrial Gateway for Industry 4.0 using ARM TrustZone Technology. - Davide Di Pierro, Stefano Ferilli:
A Schema-aware Logic Reformulation for Graph Reachability. - Ruizhi Yang, Xing-Qiang Li, Jiajun Bai, Jinsong Du:
Pseudo-Stereo Inputs: A Solution to the Occlusion Challenge in Self-Supervised Stereo Matching. - Shiyang Zhang, Aakash Patel, Syed Asad Rizvi, Nianchen Liu, Sizhuang He, Amin Karbasi, Emanuele Zappala, David van Dijk:
Intelligence at the Edge of Chaos. - Olga Iakovenko, Ivan Bondarenko, Mariya Borovikova, Daniil Vodolazsky:
Algorithms For Automatic Accentuation And Transcription Of Russian Texts In Speech Recognition Systems. - Sayed Erfan Arefin, Abdul Serwadda:
Exploiting HDMI and USB Ports for GPU Side-Channel Insights. - Zhaonan Dong, Alexandre Ern:
hp-error analysis of mixed-order hybrid high-order methods for elliptic problems on simplicial meshes. - Sayan Biswas, Anne-Marie Kermarrec, Rishi Sharma, Trinca Thibaud, Martijn de Vos:
Fair Decentralized Learning. - Yanbo Zhang, Benedikt Hartl, Hananel Hazan, Michael Levin:
Diffusion Models are Evolutionary Algorithms. - Bin Guo, Emil Sekerinski, Lingyang Chu:
Federated k-Core Decomposition: A Secure Distributed Approach. - Zixiang Wang, Yinghao Zhu, Huiya Zhao, Xiaochen Zheng, Tianlong Wang, Wen Tang, Yasha Wang, Chengwei Pan, Ewen M. Harrison, Junyi Gao, Liantao Ma:
ColaCare: Enhancing Electronic Health Record Modeling through Large Language Model-Driven Multi-Agent Collaboration. - Malik Faizan, P. J. White, Indrakshi Dey:
Automated Music Therapy for Anxiety and Depression Management in Older People (AMITY). - Jing Shuang Li:
Toward Neuronal Implementations of Delayed Optimal Control. - Junjie Chen, Xiangheng He, Yusuke Miyao, Danushka Bollegala:
Improving Unsupervised Constituency Parsing via Maximizing Semantic Information. - Olga Iakovenko, Ivan Bondarenko:
Convolutional Variational Autoencoders for Spectrogram Compression in Automatic Speech Recognition. - Mohammad Parsa Toopchinezhad, Mahmood Ahmadi:
Machine Learning Approaches for Active Queue Management: A Survey, Taxonomy, and Future Directions. - Kai Chun Lin, Bo-Yi Lin:
Deep Learning-Based Prediction of Suspension Dynamics Performance in Multi-Axle Vehicles. - Shiyun Xie, Zhiru Wang, Yinghao Zhu, Chengwei Pan:
SuperGS: Super-Resolution 3D Gaussian Splatting via Latent Feature Field and Gradient-guided Splitting. - Roman Chaban, Brian Pulfer, Slava Voloshynovskiy:
Assessing the Viability of Synthetic Physical Copy Detection Patterns on Different Imaging Systems. - Joshua McClellan, Naveed Haghani, John Winder, Furong Huang, Pratap Tokekar:
Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance. - Angana Borah, Rada Mihalcea:
Towards Implicit Bias Detection and Mitigation in Multi-Agent LLM Interactions. - Jing-En Huang, Jia-Wei Liao, Ku-Te Lin, Yu-Ju Tsai, Mei-Heng Yueh:
An Improved Variational Method for Image Denoising. - Jad Salem, Reuben Tate, Stephan J. Eidenbenz:
Expected Maximin Fairness in Max-Cut and other Combinatorial Optimization Problems. - Zihan Fang, Zheng Lin, Senkang Hu, Hangcheng Cao, Yiqin Deng, Xianhao Chen, Yuguang Fang:
IC3M: In-Car Multimodal Multi-object Monitoring for Abnormal Status of Both Driver and Passengers. - Levi Burner, Pavan Mantripragada, Gabriele M. Caddeo, Lorenzo Natale, Cornelia Fermüller, Yiannis Aloimonos:
Extremum Seeking Controlled Wiggling for Tactile Insertion. - Rui Hu, Yifan Zhang, Zhuoran Li, Longbo Huang:
Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks. - Hainan Xu, Travis M. Bartley, Vladimir Bataev, Boris Ginsburg:
Three-in-One: Fast and Accurate Transducer for Hybrid-Autoregressive ASR. - Jacob Wahlgren, Gabin Schieffer, Maya B. Gokhale, Roger Pearce, Ivy Peng:
Disaggregated Memory with SmartNIC Offloading: a Case Study on Graph Processing. - Sergei Kholkin, Grigoriy Ksenofontov, David Li, Nikita Kornilov, Nikita Gushchin, Evgeny Burnaev, Alexander Korotin:
Diffusion & Adversarial Schrödinger Bridges via Iterative Proportional Markovian Fitting. - Fantine Huot, Reinald Kim Amplayo, Jennimaria Palomaki, Alice Shoshana Jakobovits, Elizabeth Clark, Mirella Lapata:
Agents' Room: Narrative Generation through Multi-step Collaboration. - Ningya Feng, Junwei Pan, Jialong Wu, Baixu Chen, Ximei Wang, Qian Li, Xian Hu, Jie Jiang, Mingsheng Long:
Long-Sequence Recommendation Models Need Decoupled Embeddings. - Olivier Lepel, Anas Barakat:
Beyond Expected Returns: A Policy Gradient Algorithm for Cumulative Prospect Theoretic Reinforcement Learning. - Radu Curticapean, Simon Döring, Daniel Neuen, Jiaheng Wang:
Can You Link Up With Treewidth? - Mesay Gemeda Yigezu, Melkamu Mersha, Girma Yohannis Bade, Jugal Kalita, Olga Kolesnikova, Alexander F. Gelbukh:
Ethio-Fake: Cutting-Edge Approaches to Combat Fake News in Under-Resourced Languages Using Explainable AI. - Giampaolo Cuozzo, Enrico Testi, Salvatore Riolo, Luciano Miuccio, Gianluca Cena, Gianni Pasolini, Luca De Nardis, Daniela Panno, Marco Chiani, Maria-Gabriella Di Benedetto, Enrico Buracchini, Roberto Verdone:
Research Directions and Modeling Guidelines for Industrial Internet of Things Applications. - Akhilesh Aravapalli, Mounika Marreddy, Subba Reddy Oota, Radhika Mamidi, Manish Gupta:
IndicSentEval: How Effectively do Multilingual Transformer Models encode Linguistic Properties for Indic Languages? - Mor Ventura, Michael Toker, Nitay Calderon, Zorik Gekhman, Yonatan Bitton, Roi Reichart:
NL-Eye: Abductive NLI for Images. - Duy M. H. Nguyen, Nghiem T. Diep, Trung Q. Nguyen, Hoang-Bao Le, Tai Nguyen, Tien Nguyen, TrungTin Nguyen, Nhat Ho, Pengtao Xie, Roger Wattenhofer, James Zhou, Daniel Sonntag, Mathias Niepert:
LoGra-Med: Long Context Multi-Graph Alignment for Medical Vision-Language Model. - Massimiliano de Leoni, Alessandro Padella:
Achieving Fairness in Predictive Process Analytics via Adversarial Learning (Extended Version). - Hongze Chen, Zehong Lin, Jun Zhang:
GI-GS: Global Illumination Decomposition on Gaussian Splatting for Inverse Rendering. - Julius von Rohrscheidt, Bastian Rieck:
Diss-l-ECT: Dissecting Graph Data with local Euler Characteristic Transforms. - David Harel, Assaf Marron:
Preparing for Super-Reactivity: Early Fault-Detection in the Development of Exceedingly Complex Reactive Systems. - Mikhail Persiianov, Arip Asadulaev, Nikita Andreev, Nikita Starodubcev, Dmitry Baranchuk, Anastasis Kratsios, Evgeny Burnaev, Alexander Korotin:
Inverse Entropic Optimal Transport Solves Semi-supervised Learning via Data Likelihood Maximization. - Gasper Podobnik, Tomaz Vrtovec:
Metrics Revolutions: Groundbreaking Insights into the Implementation of Metrics for Biomedical Image Segmentation. - Tianxiang Hu, Pei Zhang, Baosong Yang, Jun Xie, Derek F. Wong, Rui Wang:
Large Language Model for Multi-Domain Translation: Benchmarking and Domain CoT Fine-tuning. - Artem Kaznatcheev, Sofia Vazquez Alferez:
When is local search both effective and efficient? - Vijay Bhattiprolu, Euiwoong Lee:
Inapproximability of Sparsest Vector in a Real Subspace. - Mayank Daswani, Mathias M. J. Bellaiche, Marc Wilson, Desislav Ivanov, Mikhail Papkov, Eva Schnider, Jing Tang, Kay Lamerigts, Gabriela Botea, Michael A. Sanchez, Yojan Patel, Shruthi Prabhakara, Shravya Shetty, Umesh Telang:
Plots Unlock Time-Series Understanding in Multimodal Models. - Fabian Herzog, Johannes Gilg, Philipp Wolters, Torben Teepe, Gerhard Rigoll:
Spatial-Temporal Multi-Cuts for Online Multiple-Camera Vehicle Tracking. - Zhuoning Guo, Le Zhang, Hengshu Zhu, Weijia Zhang, Hui Xiong, Hao Liu:
Labor Migration Modeling through Large-scale Job Query Data. - Shijie Chen, Bernal Jiménez Gutiérrez, Yu Su:
Attention in Large Language Models Yields Efficient Zero-Shot Re-Rankers. - Nikolaos Stathoulopoulos, Vidya Sumathy, Christoforos Kanellakis, George Nikolakopoulos:
Why Sample Space Matters: Keyframe Sampling Optimization for LiDAR-based Place Recognition. - Hanrong Zhang, Jingyuan Huang, Kai Mei, Yifei Yao, Zhenting Wang, Chenlu Zhan, Hongwei Wang, Yongfeng Zhang:
Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents. - Jinsu Yoo, Zhenyang Feng, Tai-Yu Pan, Yihong Sun, Cheng Perng Phoo, Xiangyu Chen, Mark E. Campbell, Kilian Q. Weinberger, Bharath Hariharan, Wei-Lun Chao:
Learning 3D Perception from Others' Predictions. - Song Li, Yang Tan, Song Ke, Liang Hong, Bingxin Zhou:
Immunogenicity Prediction with Dual Attention Enables Vaccine Target Selection. - Ali Satvaty, Suzan Verberne, Fatih Turkmen:
Undesirable Memorization in Large Language Models: A Survey. - Maxence Faldor, Antoine Cully:
CAX: Cellular Automata Accelerated in JAX. - Somesh Singh, Yaman Kumar Singla, Harini S. I, Balaji Krishnamurthy:
Measuring and Improving Persuasiveness of Large Language Models. - Hunter Scott Heidenreich, Pantelis-Rafail Vlachas, Petros Koumoutsakos:
Deconstructing Recurrence, Attention, and Gating: Investigating the transferability of Transformers and Gated Recurrent Neural Networks in forecasting of dynamical systems. - Jaemoo Choi, Jaewoong Choi:
Scalable Simulation-free Entropic Unbalanced Optimal Transport. - Sarah Masud, Sahajpreet Singh, Viktor Hangya, Alexander Fraser, Tanmoy Chakraborty:
Hate Personified: Investigating the role of LLMs in content moderation. - Tianyu Gao, Alexander Wettig, Howard Yen, Danqi Chen:
How to Train Long-Context Language Models (Effectively). - Zeyang Liu, Xinrui Yang, Shiguang Sun, Long Qian, Lipeng Wan, Xingyu Chen, Xuguang Lan:
Grounded Answers for Multi-agent Decision-making Problem through Generative World Model. - Mert Ünsal, Timon Gehr, Martin T. Vechev:
AlphaIntegrator: Transformer Action Search for Symbolic Integration Proofs. - Mathis Gerdes, Max Welling, Miranda C. N. Cheng:
GUD: Generation with Unified Diffusion. - Taekyung Lee, Jaemoo Choi, Jaewoong Choi, Myungjoo Kang:
Unsupervised Point Cloud Completion through Unbalanced Optimal Transport. - Ian Moore, Anna Sanfilippo, Francesco Ballarin, Traian Iliescu:
A Priori Error Bounds for the Approximate Deconvolution Leray Reduced Order Model. - Craig Messner, Tom Lippincott:
Examining Language Modeling Assumptions Using an Annotated Literary Dialect Corpus. - Yihong Dong, Ge Li, Yongding Tao, Xue Jiang, Kechi Zhang, Jia Li, Jing Su, Jun Zhang, Jingjing Xu:
FAN: Fourier Analysis Networks. - Yu Ying Chiu, Liwei Jiang, Bill Yuchen Lin, Chan Young Park, Shuyue Stella Li, Sahithya Ravi, Mehar Bhatia, Maria Antoniak, Yulia Tsvetkov, Vered Shwartz, Yejin Choi:
CulturalBench: a Robust, Diverse and Challenging Benchmark on Measuring the (Lack of) Cultural Knowledge of LLMs. - William Held, Ella Li, Michael J. Ryan, Weiyan Shi, Yanzhe Zhang, Diyi Yang:
Distilling an End-to-End Voice Assistant Without Instruction Training Data. - Shuoyuan Wang, Yixuan Li, Hongxin Wei:
Understanding and Mitigating Miscalibration in Prompt Tuning for Vision-Language Models. - Daniel Bourgeois, Zhimin Ding, Dimitrije Jankov, Jiehui Li, Sleem Mahmoud Abdelghafar, Yuxin Tang, Jiawen Yao, Xinyu Yao, Chris Jermaine:
EinDecomp: Decomposition of Declaratively-Specified Machine Learning and Numerical Computations for Parallel Execution. - Yu Ying Chiu, Liwei Jiang, Yejin Choi:
DailyDilemmas: Revealing Value Preferences of LLMs with Quandaries of Daily Life. - Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Ruibin Yuan, Xueqi Cheng:
HiddenGuard: Fine-Grained Safe Generation with Specialized Representation Router. - Conghao Zhou, Shisheng Hu, Jie Gao, Xinyu Huang, Weihua Zhuang, Xuemin Shen:
User-centric Immersive Communications in 6G: A Data-oriented Approach via Digital Twin. - Mario Giulianelli, Luca Malagutti, Juan Luis Gastaldi, Brian DuSell, Tim Vieira, Ryan Cotterell:
On the Proper Treatment of Tokenization in Psycholinguistics. - Thibaud Gloaguen, Nikola Jovanovic, Robin Staab, Martin T. Vechev:
Discovering Clues of Spoofed LM Watermarks. - Howard Yen, Tianyu Gao, Minmin Hou, Ke Ding, Daniel Fleischer, Peter Izsak, Moshe Wasserblat, Danqi Chen:
HELMET: How to Evaluate Long-Context Language Models Effectively and Thoroughly. - Zakhar Shumaylov, Peter Zaika, James Rowbottom, Ferdia Sherry, Melanie Weber, Carola-Bibiane Schönlieb:
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups. - Agenor Lahatte, Elisabeth de Turckheim:
Impact of a reclassification on Web of Science articles on bibliometric indicators. - Yaniv Leviathan, Matan Kalman, Yossi Matias:
Selective Attention Improves Transformer. - Zongming Li, Tianheng Cheng, Shoufa Chen, Peize Sun, Haocheng Shen, Longjin Ran, Xiaoxin Chen, Wenyu Liu, Xinggang Wang:
ControlAR: Controllable Image Generation with Autoregressive Models. - Hadas Orgad, Michael Toker, Zorik Gekhman, Roi Reichart, Idan Szpektor, Hadas Kotek, Yonatan Belinkov:
LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations. - Hongxiang Zhang, Yifeng He, Hao Chen:
SteerDiff: Steering towards Safe Text-to-Image Diffusion Models. - Michael S. Albergo, Eric Vanden-Eijnden:
NETS: A Non-Equilibrium Transport Sampler. - Tianyi Xiong, Xiyao Wang, Dong Guo, Qinghao Ye, Haoqi Fan, Quanquan Gu, Heng Huang, Chunyuan Li:
LLaVA-Critic: Learning to Evaluate Multimodal Models. - Yuanhan Zhang, Jinming Wu, Wei Li, Bo Li, Zejun Ma, Ziwei Liu, Chunyuan Li:
Video Instruction Tuning With Synthetic Data. - Zygimantas Jocys, Henriëtte M. G. Willems, Katayoun Farrahi:
SynthFormer: Equivariant Pharmacophore-based Generation of Molecules for Ligand-Based Drug Design. - Zixuan Li, Jing Xiong, Fanghua Ye, Chuanyang Zheng, Xun Wu, Jianqiao Lu, Zhongwei Wan, Xiaodan Liang, Chengming Li, Zhenan Sun, Lingpeng Kong, Ngai Wong:
UncertaintyRAG: Span-Level Uncertainty Enhanced Long-Context Modeling for Retrieval-Augmented Generation. - Mengxi Wu, Hao Huang, Yi Fang, Mohammad Rostami:
Curvature Diversity-Driven Deformation and Domain Alignment for Point Cloud. - Ryan Barron, Ves Grantcharov, Selma Wanna, Maksim Ekin Eren, Manish Bhattarai, Nick Solovyev, George Tompkins, Charles Nicholas, Kim Ø. Rasmussen, Cynthia Matuszek, Boian S. Alexandrov:
Domain-Specific Retrieval-Augmented Generation Using Vector Stores, Knowledge Graphs, and Tensor Factorization. - Rohin Manvi, Anikait Singh, Stefano Ermon:
Adaptive Inference-Time Compute: LLMs Can Predict if They Can Do Better, Even Mid-Generation. - Jaewoo Lee, Joonho Ko, Jinheon Baek, Soyeong Jeong, Sung Ju Hwang:
Unified Multi-Modal Interleaved Document Representation for Information Retrieval. - Zhaowei Wang, Hongming Zhang, Tianqing Fang, Ye Tian, Yue Yang, Kaixin Ma, Xiaoman Pan, Yangqiu Song, Dong Yu:
DivScene: Benchmarking LVLMs for Object Navigation with Diverse Scenes and Objects. - Lara Laban, Mariusz Wzorek, Piotr Rudol, Tommy Persson:
Custom Non-Linear Model Predictive Control for Obstacle Avoidance in Indoor and Outdoor Environments. - Abdulmoneam Ali, Ahmed Arafa:
Data Similarity-Based One-Shot Clustering for Multi-Task Hierarchical Federated Learning. - Liangze Jiang, Damien Teney:
OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable? - Jiayi Ye, Yanbo Wang, Yue Huang, Dongping Chen, Qihui Zhang, Nuno Moniz, Tian Gao, Werner Geyer, Chao Huang, Pin-Yu Chen, Nitesh V. Chawla, Xiangliang Zhang:
Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge. - Zhengfeng Lai, Vasileios Saveris, Chen Chen, Hong-You Chen, Haotian Zhang, Bowen Zhang, Juan Lao Tebar, Wenze Hu, Zhe Gan, Peter Grasch, Meng Cao, Yinfei Yang:
Revisit Large-Scale Image-Caption Data in Pre-training Multimodal Foundation Models. - Lei Xu, Mohammed Asad Karim, Saket Dingliwal, Aparna Elangovan:
Salient Information Prompting to Steer Content in Prompt-based Abstractive Summarization. - Haolan Liu, Jishen Zhao:
Grounding Large Language Models In Embodied Environment With Imperfect World Models. - Yekun Chai, Haoran Sun, Huang Fang, Shuohuan Wang, Yu Sun, Hua Wu:
MA-RLHF: Reinforcement Learning from Human Feedback with Macro Actions. - Franck Signe Talla, Hervé Jégou, Edouard Grave:
Neutral residues: revisiting adapters for model extension. - Zhibin Lan, Liqiang Niu, Fandong Meng, Wenbo Li, Jie Zhou, Jinsong Su:
AVG-LLaVA: A Large Multimodal Model with Adaptive Visual Granularity. - Hong-You Chen, Zhengfeng Lai, Haotian Zhang, Xinze Wang, Marcin Eichner, Keen You, Meng Cao, Bowen Zhang, Yinfei Yang, Zhe Gan:
Contrastive Localized Language-Image Pre-Training. - Han He, Qianchu Liu, Lei Xu, Chaitanya Shivade, Yi Zhang, Sundararajan Srinivasan, Katrin Kirchhoff:
CriSPO: Multi-Aspect Critique-Suggestion-guided Automatic Prompt Optimization for Text Generation. - Ulyana Piterbarg, Lerrel Pinto, Rob Fergus:
Training Language Models on Synthetic Edit Sequences Improves Code Synthesis. - Xinpeng Li, Zile Jiang, Kai Ming Ting, Ye Zhu:
An Online Automatic Modulation Classification Scheme Based on Isolation Distributional Kernel. - Ahmad Elawady, Gunjan Chhablani, Ram Ramrakhya, Karmesh Yadav, Dhruv Batra, Zsolt Kira, Andrew Szot:
ReLIC: A Recipe for 64k Steps of In-Context Reinforcement Learning for Embodied AI. - Jifan Zhang, Robert D. Nowak:
SIEVE: General Purpose Data Filtering System Matching GPT-4o Accuracy at 1% the Cost. - Milan Straka:
CorPipe at CRAC 2024: Predicting Zero Mentions from Raw Text. - Yuqing Wang, Tianwei Xiong, Daquan Zhou, Zhijie Lin, Yang Zhao, Bingyi Kang, Jiashi Feng, Xihui Liu:
Loong: Generating Minute-level Long Videos with Autoregressive Language Models. - Valentijn Oldenburg, Juan Cardenas-Cartagena, Matias Valdenegro-Toro:
Forecasting Smog Clouds With Deep Learning. - Rohit Gandikota, Sheridan Feucht, Samuel Marks, David Bau:
Erasing Conceptual Knowledge from Language Models. - Zhipei Xu, Xuanyu Zhang, Runyi Li, Zecheng Tang, Qing Huang, Jian Zhang:
FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models. - Nick Jiang, Anish Kachinthaya, Suzie Petryk, Yossi Gandelsman:
Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations. - Jianrui Zhang, Mu Cai, Yong Jae Lee:
Vinoground: Scrutinizing LMMs over Dense Temporal Reasoning with Short Videos. - Mingyang Xie, Haoming Cai, Sachin Shah, Yiran Xu, Brandon Y. Feng, Jia-Bin Huang, Christopher A. Metzler:
Flash-Splat: 3D Reflection Removal with Flash Cues and Gaussian Splats. - Christophe Patyn, Geert Deconinck:
A concise introduction to Koopman operator theory and the Extended Dynamic Mode Decomposition. - Jin Chen, Kaijing Ma, Haojian Huang, Jiayu Shen, Han Fang, Xianghao Zang, Chao Ban, Zhongjiang He, Hao Sun, Yanmei Kang:
BoViLA: Bootstrapping Video-Language Alignment via LLM-Based Self-Questioning and Answering. - Anna Romanova:
Fundamentals of legislation for autonomous artificial intelligence systems. - Shokooh Khandan:
Complex-valued convolutional neural network classification of hand gesture from radar images. - Jian Lan, Diego Frassinelli, Barbara Plank:
Mind the Uncertainty in Human Disagreement: Evaluating Discrepancies between Model Predictions and Human Responses in VQA. - Václav Blahut, Karel Koupil:
Bypassing the Popularity Bias: Repurposing Models for Better Long-Tail Recommendation. - Olive Franzese, Ali Shahin Shamsabadi, Hamed Haddadi:
OATH: Efficient and Flexible Zero-Knowledge Proofs of End-to-End ML Fairness. - Masoud Kaveh, Farshad Rostami Ghadi, Yishan Yang, Zheng Yan, Riku Jäntti:
Physical Layer Mutual Authentication in RIS-Aided Monostatic Backscatter Communications: A Dual-Edged Analysis. - Pedro Herrero-Vidal, You-Lin Chen, Cris Liu, Prithviraj Sen, Lichao Wang:
Learning variant product relationship and variation attributes from e-commerce website structures. - Eleonora Lopez, Luigi Sigillo, Federica Colonnese, Massimo Panella, Danilo Comminiello:
Guess What I Think: Streamlined EEG-to-Image Generation with Latent Diffusion Models. - Jose Manappattukunnel Lukose, Abayomi O. Agbeyangi:
Enhancing ICT Literacy and Sustainable Practices in the Hospitality Industry: Insights from Mnquma Municipality. - Rosemarie Santa González, Tsion Fitsum, Michael Butros:
High School Summer Camps Help Democratize Coding, Data Science, and Deep Learning. - Rawan AlMakinah, Andrea Norcini-Pala, Lindsey Disney, M. Abdullah Canbaz:
Enhancing Mental Health Support through Human-AI Collaboration: Toward Secure and Empathetic AI-enabled chatbots. - Borui Zhao:
A Müntz-collocation spectral method for weakly singular Volterra delay-integro-differential equations. - Mohamed F. Younis, Sookyoung Lee, Wassila Lalouani, Dayuan Tan, Sanket Gupte:
Dynamic Road Management in the Era of CAV. - Jihyeon Je, Jiayi Liu, Guandao Yang, Boyang Deng, Shengqu Cai, Gordon Wetzstein, Or Litany, Leonidas J. Guibas:
Robust Symmetry Detection via Riemannian Langevin Dynamics. - Zecheng Yin, Chonghao Cheng, Lizhen:
Navigation with VLM framework: Go to Any Language. - Xiaoyu Pan, Bowen Zheng, Xinwei Jiang, Zijiao Zeng, Qilong Kou, He Wang, Xiaogang Jin:
RoMo: A Robust Solver for Full-body Unlabeled Optical Motion Capture. - Hideya Ochiai, Kohki Hashimoto, Takuya Sakamoto, Seiya Watanabe, Ryosuke Hara, Ryo Yagi, Yuji Aizono, Hiroshi Esaki:
Logic-Free Building Automation: Learning the Control of Room Facilities with Wall Switches and Ceiling Camera. - Zhenhao Jiang, Jicong Fan:
DifFaiRec: Generative Fair Recommender with Conditional Diffusion Model. - Esther Bosch, Anna Ricarda Luther, Klas Ihme:
Travel Experience in Public Transport Dataset. - Aaqib Ayoub Bhat, Asif Khan:
Boundary Interpolation on Triangles via Neural Network Operators. - Jiuding Yang, Shengyao Lu, Weidong Guo, Xiangyang Li, Kaitong Yang, Yu Xu, Di Niu:
TaCIE: Enhancing Instruction Comprehension in Large Language Models through Task-Centred Instruction Evolution. - Bram Daniels, Reza Zeinali, Timo Overboom, Mitrofan Curti, Elena A. Lomonova:
Constrained B-Spline Based Everett Map Construction for Modeling Static Hysteresis Behavior. - Ali Kaazempur-Mofrad, Xiaowu Dai:
A Data Envelopment Analysis Approach for Assessing Fairness in Resource Allocation: Application to Kidney Exchange Programs. - Vivek Ganesh Sonar, Muhammad Tanveer Jan, Mike Wells, Abhijit S. Pandya, Gabriela Engstrom, Richard Shih, Borko Furht:
Estimating Body Volume and Height Using 3D Data. - Karolina Tchilinguirova, Alvine Boaye Belle, Gouled Mahamud:
Biases in gendered citation practices: an exploratory study and some reflections on the Matthew and Matilda effects. - Tuo Liu, Jonathan Realmuto:
A Soft Robotic Exosuit For Knee Extension Using Hyper-Bending Actuators. - Dipankar Maity, Debdipta Goswami:
On the Effect of Quantization on Extended Dynamic Mode Decomposition. - Qi Fan, Hongyu Yuan, Haolin Zuo, Rui Liu, Guanglai Gao:
Leveraging Retrieval Augment Approach for Multimodal Emotion Recognition Under Missing Modalities. - Bahadir Eryilmaz, Osman Alperen Koras, Jörg Schlötterer, Christin Seifert:
Investigating the Impact of Randomness on Reproducibility in Computer Vision: A Study on Applications in Civil Engineering and Medicine. - Keun Soo Yim, Iliyan Malchev, Andrew Hsieh, Dave Burke:
TREBLE: Fast Software Updates by Creating an Equilibrium in an Active Software Ecosystem of Globally Distributed Stakeholders. - Nikolai Rozanov, Marek Rei:
StateAct: State Tracking and Reasoning for Acting and Planning with Large Language Models. - Hanzhu Chen, Xu Shen, Qitan Lv, Jie Wang, Xiaoqi Ni, Jieping Ye:
SAC-KG: Exploiting Large Language Models as Skilled Automatic Constructors for Domain Knowledge Graphs. - Roberto G. Aragón, Maria Eugenia Cornejo, Jesús Medina, Juan Moreno García, Eloísa Ramírez-Poussa:
Decision support system for photovoltaic fault detection avoiding meteorological conditions. - Diana Alina Bistrian:
Mathematical Considerations on Randomized Orthgonal Decomposition Method for Developing Twin Data Models. - Gonzalo Romera:
Neural Networks in Numerical Analysis and Approximation Theory. - Ningxin Liu, Shuigen Liu, Xin T. Tong, Lijian Jiang:
Estimate of Koopman modes and eigenvalues with Kalman Filter. - Maria Eugenia Cornejo, David Lobo, Jesús Medina:
Bipolar fuzzy relation equations systems based on the product t-norm. - Carson Eisenach, Udaya Ghai, Dhruv Madeka, Kari Torkkola, Dean P. Foster, Sham M. Kakade:
Neural Coordination and Capacity Control for Inventory Management. - Marien Chenaud, Frédéric Magoulès, José Alves:
Physics-Informed Graph-Mesh Networks for PDEs: A hybrid approach for complex problems. - Payam Saeedi, Mahsa Goodarzi:
GPT's Judgements Under Uncertainty. - Vinh Luong, Sang Dinh, Shruti Raghavan, William Nguyen, Zooey Nguyen, Quynh Le, Hung Vo, Kentaro Maegaito, Loc Nguyen, Thao Nguyen, Anh Hai Ha, Christopher Nguyen:
DANA: Domain-Aware Neurosymbolic Agents for Consistency and Accuracy. - Chenhao Fang, Derek Larson, Shitong Zhu, Sophie Zeng, Wendy Summer, Yanqing Peng, Yuriy Hulovatyy, Rajeev Rao, Gabriel Forgues, Arya Pudota, Alex Goncalves, Hervé Robert:
Ingest-And-Ground: Dispelling Hallucinations from Continually-Pretrained LLMs with RAG. - Yuxing Zhang, Siyuan Meng, Chunchun Chen, Mengyao Peng, Hongyan Gu, Xinli Huang:
LinkThief: Combining Generalized Structure Knowledge with Node Similarity for Link Stealing Attack against GNN. - Tuan-Cuong Vuong, Cong Chi Nguyen, Van-Cuong Pham, Thi-Thanh-Huyen Le, Xuan-Nam Tran, Thien Van Luong:
Effective Intrusion Detection for UAV Communications using Autoencoder-based Feature Extraction and Machine Learning Approach. - Gary D. Lopez Munoz, Amanda J. Minnich, Roman Lutz, Richard Lundeen, Raja Sekhar Rao Dheekonda, Nina Chikanov, Bolor-Erdene Jagdagdorj, Martin Pouliot, Shiven Chawla, Whitney Maxwell, Blake Bullwinkel, Katherine Pratt, Joris de Gruyter, Charlotte Siska, Pete Bryan, Tori Westerhoff, Chang Kawaguchi, Christian Seifert, Ram Shankar Siva Kumar, Yonatan Zunger:
PyRIT: A Framework for Security Risk Identification and Red Teaming in Generative AI System. - Chang Xiao, Brenda Z. Yang:
LLMs May Not Be Human-Level Players, But They Can Be Testers: Measuring Game Difficulty with LLM Agents. - Mikel Bober-Irizar, Naunidh Dua, Max McGuinness:
Skill Issues: An Analysis of CS:GO Skill Rating Systems. - Yue Liu, Xiaoxin He, Miao Xiong, Jinlan Fu, Shumin Deng, Bryan Hooi:
FlipAttack: Jailbreak LLMs via Flipping. - Abigail Langbridge, Anthony Quinn, Robert Shorten:
Overcoming Representation Bias in Fairness-Aware data Repair using Optimal Transport. - Yifei Ge, Weisong Sun, Yihang Lou, Chunrong Fang, Yiran Zhang, Yiming Li, Xiaofang Zhang, Yang Liu, Zhihong Zhao, Zhenyu Chen:
Demonstration Attack against In-Context Learning for Code Intelligence. - Thibault Monsel, Emmanuel Menier, Onofrio Semeraro, Lionel Mathelin, Guillaume Charpiat:
Neural DDEs with Learnable Delays for Partially Observed Dynamical Systems. - Minh Duong Nguyen, Khanh Le, Khoi Do, Nguyen H. Tran, Duc Nguyen, Chien Trinh, Zhaohui Yang:
Towards Layer-Wise Personalized Federated Learning: Adaptive Layer Disentanglement via Conflicting Gradients. - Naoaki Kanazawa, Kento Kawaharazuka, Yoshiki Obinata, Kei Okada, Masayuki Inaba:
Real-World Cooking Robot System from Recipes Based on Food State Recognition Using Foundation Models and PDDL. - Pratiksha Thaker, Shengyuan Hu, Neil Kale, Yash Maurya, Zhiwei Steven Wu, Virginia Smith:
Position: LLM Unlearning Benchmarks are Weak Measures of Progress. - Gaurav Sahu, Olga Vechtomova:
Computational Modeling of Artistic Inspiration: A Framework for Predicting Aesthetic Preferences in Lyrical Lines Using Linguistic and Stylistic Features. - Di Zhang, Jianbo Wu, Jingdi Lei, Tong Che, Jiatong Li, Tong Xie, Xiaoshui Huang, Shufei Zhang, Marco Pavone, Yuqiang Li, Wanli Ouyang, Dongzhan Zhou:
LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning. - Pegah Moradi, Karen Levy, Cristobal Cheyre:
Pseudo-Automation: How Labor-Offsetting Technologies Reconfigure Roles and Relationships in Frontline Retail Work. - Haiyun He, Yepeng Liu, Ziqiao Wang, Yongyi Mao, Yuheng Bu:
Universally Optimal Watermarking Schemes for LLMs: from Theory to Practice. - Ioannis Tsikelis, Konstantinos I. Chatzilygeroudis:
Gait Optimization for Legged Systems Through Mixed Distribution Cross-Entropy Optimization. - Chengkun Cai, Xu Zhao, Haoliang Liu, Zhongyu Jiang, Tianfang Zhang, Zongkai Wu, Jenq-Neng Hwang, Lei Li:
The Role of Deductive and Inductive Reasoning in Large Language Models. - Changsuk Oh, H. Jin Kim:
Task-Decoupled Image Inpainting Framework for Class-specific Object Remover. - Yougang Lyu, Xiaoyu Zhang, Zhaochun Ren, Maarten de Rijke:
Cognitive Biases in Large Language Models for News Recommendation. - Gabriel Chenevert, Jingqi Li, Achyuta kannan, Sangjae Bae, Donggun Lee:
Solving Reach-Avoid-Stay Problems Using Deep Deterministic Policy Gradients. - Deema Alnuhait, Neeraja Kirtane, Muhammad Khalifa, Hao Peng:
FactCheckmate: Preemptively Detecting and Mitigating Hallucinations in LMs. - Ian Wu, Patrick Fernandes, Amanda Bertsch, Seungone Kim, Sina Pakazad, Graham Neubig:
Better Instruction-Following Through Minimum Bayes Risk. - Lyes Smaili, Zhiqi Tang, Soulaimane Berkane, Tarek Hamel:
Dissipative Avoidance Feedback for Reactive Navigation Under Second-Order Dynamics. - Shikhar Murty, Dzmitry Bahdanau, Christopher D. Manning:
NNetscape Navigator: Complex Demonstrations for Web Agents Without a Demonstrator. - Xianzhi Li, Ran Zmigrod, Zhiqiang Ma, Xiaomo Liu, Xiaodan Zhu:
Fine-Tuning Language Models with Differential Privacy through Adaptive Noise Allocation. - Yotam Intrator, Ori Kelner, Regev Cohen, Roman Goldenberg, Ehud Rivlin, Daniel Freedman:
Streamlining Conformal Information Retrieval via Score Refinement. - Qihong Chen, Jiawei Li, Hyunjae Suh, Lianghao Jiang, Zheng Zhou, Jingze Chen, Jiri Gesi, Iftekhar Ahmed:
Does the Order of Fine-tuning Matter and Why? - Qingzhao Zhang, Ziyang Xiong, Z. Morley Mao:
Safeguard is a Double-edged Sword: Denial-of-service Attack on Large Language Models. - Wen Cao:
Deep image-based Adaptive BRDF Measure. - Rishit Dagli, Guillaume Berger, Joanna Materzynska, Ingo Bax, Roland Memisevic:
AirLetters: An Open Video Dataset of Characters Drawn in the Air. - Ziyao Zeng, Yangchao Wu, Hyoungseob Park, Daniel Wang, Fengyu Yang, Stefano Soatto, Dong Lao, Byung-Woo Hong, Alex Wong:
RSA: Resolving Scale Ambiguities in Monocular Depth Estimators through Language Descriptions. - José G. López-Salas, M. Suárez-Taboada, Manuel Jesús Castro Díaz, Ana Maria Ferreiro-Ferreiro, José Antonio García-Rodríguez:
A second order finite volume IMEX Runge-Kutta scheme for two dimensional PDEs in finance. - Víctor González Tabernero, José G. López-Salas, Manuel Jesús Castro Díaz, José Antonio García-Rodríguez:
Boundary treatment for high-order IMEX Runge-Kutta local discontinuous Galerkin schemes for multidimensional nonlinear parabolic PDEs. - Sudipta Singha Roy, Xindi Wang, Robert E. Mercer, Frank Rudzicz:
Graph-tree Fusion Model with Bidirectional Information Propagation for Long Document Classification. - Junyi Hu, You Zhou, Jie Wang:
Intrinsic Evaluation of RAG Systems for Deep-Logic Questions. - Christopher J. Harvey, Sumaiya Shomaji, Zijun Yao, Amit Noheria:
Comparison of Autoencoder Encodings for ECG Representation in Downstream Prediction Tasks. - Yijie Ding, Yupeng Hou, Jiacheng Li, Julian J. McAuley:
Inductive Generative Recommendation via Retrieval-based Speculation. - Yongxing Zhang, Donglin Yang, Renjie Liao:
SymmetricDiffusers: Learning Discrete Diffusion on Finite Symmetric Groups. - Zhenxiao Fu, Fan Chen, Shan Zhou, Haitong Li, Lei Jiang:
LLMCO2: Advancing Accurate Carbon Footprint Prediction for LLM Inferences. - Oren Sultan, Alex Khasin, Guy Shiran, Asnat Greenstein-Messica, Dafna Shahaf:
Visual Editing with LLM-based Tool Chaining: An Efficient Distillation Approach for Real-Time Applications. - Oliver Kramer, Jill Baumann:
Unlocking Structured Thinking in Language Models with Cognitive Prompting. - Huan Xuan Nguyen, Kexuan Sun, Duc To, Quoc-Tuan Vien, Tuan Anh Le:
Digital Twin for O-RAN Towards 6G. - Benjamin Nuernberger, Anny Liu, Heather Stefanini, Richard Otis, Amanda Towler, R. Peter Dillon:
AiBAT: Artificial Intelligence/Instructions for Build, Assembly, and Test. - Emmanuel Tung, Ali Mostafavi, Maoxu Li, Sophie Li, Zeeshan Rasheed, Khurram Shafique:
A System for Critical Facility and Resource Optimization in Disaster Management and Planning. - Jiayi Zhao, Mo Yang, Jing Shuang Li:
Human Balancing on a Log: A Switched Multi-Layer Controller. - Patara Trirat, Wonyong Jeong, Sung Ju Hwang:
AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML. - Antonio Carlos Rivera, Anthony Moore, Steven Robinson:
Coal Mining Question Answering with LLMs. - Zihao Dong, Jeff Pflueger, Leonard Jung, David Thorne, Philip R. Osteen, Christa S. Robison, Brett Thomas Lopez, Michael Everett:
LiDAR Inertial Odometry And Mapping Using Learned Registration-Relevant Features. - Shouthiri Partheepan, Farzad Sanati, Jahan Hassan:
Bushfire Severity Modelling and Future Trend Prediction Across Australia: Integrating Remote Sensing and Machine Learning. - Yingbo Hua:
A Simple Method for Secret-Key Generation Between Mobile Users Across Networks. - Riley Bridges, Ethan Parham, Jing Shuang Li:
Analyzing Fitts' Law using Offline and Online Optimal Control with Motor Noise. - Dave Goel, Athar Mahmoudi-Nejad, Matthew Guzdial:
Label-Free Subjective Player Experience Modelling via Let's Play Videos. - Xu Zheng, Farhad Shirani, Zhuomin Chen, Chaohao Lin, Wei Cheng, Wenbo Guo, Dongsheng Luo:
F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI. - Wenzhong Yan, Brian Ye, Mingxi Li, Jonathan B. Hopkins, Ankur Mehta:
Self-Deployable, Adaptive Soft Robots Based on Contracting-Cord Particle Jamming. - Jannik Graebner, Anjian Li, Amlan Sinha, Ryne Beeson:
Learning Optimal Control and Dynamical Structure of Global Trajectory Search Problems with Diffusion Models. - Soroush Ebadian, Rupert Freeman, Nisarg Shah:
Harm Ratio: A Novel and Versatile Fairness Criterion. - Mohammad Mohammadi, Martijn Wieling, Michel Vols:
An explainable approach to detect case law on housing and eviction issues within the HUDOC database. - Zih-Sing Fu, Soumya Sudhakar, Sertac Karaman, Vivienne Sze:
DecTrain: Deciding When to Train a DNN Online. - Trevor N. Wolf, Brandon A. Jones:
Information-Driven Search and Track of Novel Space Objects. - George Wang, Jesse Hoogland, Stan van Wingerden, Zach Furman, Daniel Murfet:
Differentiation and Specialization of Attention Heads via the Refined Local Learning Coefficient. - Evan Schwab, Bharat Annaldas, Nisha Ramesh, Anna Lundberg, Vishal Shelke, Xinran Xu, Cole Gilbertson, Jiyun Byun, Ernest T. Lam:
Fully Automated CTC Detection, Segmentation and Classification for Multi-Channel IF Imaging. - Seungyong Moon, Bumsoo Park, Hyun Oh Song:
Guided Stream of Search: Learning to Better Search with Language Models via Optimal Path Guidance. - Suei-Wen Chen, Keith Ross, Pierre Youssef:
Finite-Sample Analysis of the Monte Carlo Exploring Starts Algorithm for Reinforcement Learning. - Pengzhi Yang, Xinyu Wang, Ruipeng Zhang, Cong Wang, Frans A. Oliehoek, Jens Kober:
Task-unaware Lifelong Robot Learning with Retrieval-based Weighted Local Adaptation. - Lorenzo Bergadano, Andrea Ceschini, Pietro Chiavassa, Edoardo Giusto, Bartolomeo Montrucchio, Massimo Panella, Antonello Rosato:
Q-SCALE: Quantum computing-based Sensor Calibration for Advanced Learning and Efficiency. - Enyi Jiang, Gagandeep Singh:
Towards Universal Certified Robustness with Multi-Norm Training. - Anej Svete, Nadav Borenstein, Mike Zhou, Isabelle Augenstein, Ryan Cotterell:
Can Transformers Learn n-gram Language Models? - Ziyin Liu, Isaac Chuang, Tomer Galanti, Tomaso A. Poggio:
Formation of Representations in Neural Networks. - Niki Nezakati, Md Kaykobad Reza, Ameya Patil, Mashhour Solh, M. Salman Asif:
MMP: Towards Robust Multi-Modal Learning with Masked Modality Projection. - Alexander Levine, Peter Stone, Amy Zhang:
Learning a Fast Mixing Exogenous Block MDP using a Single Trajectory. - Rose E. Wang, Ana T. Ribeiro, Carly Robinson, Susanna Loeb, Dora Demszky:
Tutor CoPilot: A Human-AI Approach for Scaling Real-Time Expertise. - Xiaoming Zhai:
Transforming Teachers' Roles and Agencies in the Era of Generative AI: Perceptions, Acceptance, Knowledge, and Practices. - Sungduk Yu, Man Luo, Avinash Madasu, Vasudev Lal, Phillip Howard:
Is Your Paper Being Reviewed by an LLM? Investigating AI Text Detectability in Peer Review. - Brandon Knutson, Amandin Chyba Rabeendran, Michael I. Ivanitskiy, Jordan Pettyjohn, Cecilia G. Diniz Behn, Samy Wu Fung, Daniel McKenzie:
On Logical Extrapolation for Mazes with Recurrent and Implicit Networks. - Omar Zamzam:
PixelShuffler: A Simple Image Translation Through Pixel Rearrangement. - Anukriti Kumar, Lucy Lu Wang:
Uncovering the New Accessibility Crisis in Scholarly PDFs. - Marcel Kollovieh, Marten Lienen, David Lüdke, Leo Schwinn, Stephan Günnemann:
Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting. - James Flemings, Wanrong Zhang, Bo Jiang, Zafar Takhirov, Murali Annavaram:
Characterizing Context Influence and Hallucination in Summarization. - Yunhong He, Yifeng Xie, Zhengqing Yuan, Lichao Sun:
MLP-KAN: Unifying Deep Representation and Function Learning. - Boqian Wu, Qiao Xiao, Shunxin Wang, Nicola Strisciuglio, Mykola Pechenizkiy, Maurice van Keulen, Decebal Constantin Mocanu, Elena Mocanu:
Dynamic Sparse Training versus Dense Training: The Unexpected Winner in Image Corruption Robustness. - Lun Li, Hamidreza Kasaei:
Single-Shot 6DoF Pose and 3D Size Estimation for Robotic Strawberry Harvesting. - Xiaohan Ding, Kaike Ping, Uma Sushmitha Gunturi, Buse Çarik, Sophia Stil, Lance T. Wilhelm, Taufiq Daryanto, James Hawdon, Sang Won Lee, Eugenia H. Rho:
CounterQuill: Investigating the Potential of Human-AI Collaboration in Online Counterspeech Writing. - Zachary Ravichandran, Varun Murali, Mariliza Tzes, George J. Pappas, Vijay Kumar:
SPINE: Online Semantic Planning for Missions with Incomplete Natural Language Specifications in Unstructured Environments. - Hosein Mohebbi, Grzegorz Chrupala, Willem H. Zuidema, Afra Alishahi, Ivan Titov:
Disentangling Textual and Acoustic Features of Neural Speech Representations. - Jinghao Shi, Xiang Shen, Kaili Zhao, Xuedong Wang, Vera Wen, Zixuan Wang, Yifan Wu, Zhixin Zhang:
CPFD: Confidence-aware Privileged Feature Distillation for Short Video Classification. - Xiaoyu Wu, Jiaru Zhang, Steven Wu:
Revealing the Unseen: Guiding Personalized Diffusion Models to Expose Training Data. - Mingxue Xu, Sadia Sharmin, Danilo P. Mandic:
Geometry is All You Need: A Unified Taxonomy of Matrix and Tensor Factorization for Compression of Generative Language Models. - Nurbek Tastan, Samuel Horváth, Martin Takác, Karthik Nandakumar:
FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning. - Mahtab Sarvmaili, Hassan Sajjad, Ga Wu:
Towards Understanding the Feasibility of Machine Unlearning. - Shilin Qu, Weiqing Wang, Xin Zhou, Haolan Zhan, Zhuang Li, Lizhen Qu, Linhao Luo, Yuan-Fang Li, Gholamreza Haffari:
Scalable Frame-based Construction of Sociocultural NormBases for Socially-Aware Dialogues. - Wenhao Chai, Enxin Song, Yilun Du, Chenlin Meng, Vashisht Madhavan, Omer Bar-Tal, Jeng-Neng Hwang, Saining Xie, Christopher D. Manning:
AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark. - Siqi Zeng, Sixian Du, Makoto Yamada, Han Zhao:
Learning Structured Representations by Embedding Class Hierarchy with Fast Optimal Transport. - Shigemichi Matsuzaki, Kazuhito Tanaka, Kazuhiro Shintani:
CLIP-Clique: Graph-based Correspondence Matching Augmented by Vision Language Models for Object-based Global Localization. - Shoaib Ahmed Siddiqui, Radhika Gaonkar, Boris Köpf, David Krueger, Andrew Paverd, Ahmed Salem, Shruti Tople, Lukas Wutschitz, Menglin Xia, Santiago Zanella Béguelin:
Permissive Information-Flow Analysis for Large Language Models. - Sahib Julka, Yashu Wang, Michael Granitzer:
Towards an Improved Metric for Evaluating Disentangled Representations. - Yihe Wang, Taida Li, Yujun Yan, Wenzhan Song, Xiang Zhang:
How to evaluate your medical time series classification? - Chen Liu, Danqi Liao, Alejandro Parada-Mayorga, Alejandro Ribeiro, Marcello DiStasio, Smita Krishnaswamy:
DiffKillR: Killing and Recreating Diffeomorphisms for Cell Annotation in Dense Microscopy Images. - Sungnyun Kim, Haofu Liao, Srikar Appalaraju, Peng Tang, Zhuowen Tu, Ravi Kumar Satzoda, R. Manmatha, Vijay Mahadevan, Stefano Soatto:
DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models. - Grant Wardle, Teo Susnjak:
Image First or Text First? Optimising the Sequencing of Modalities in Large Language Model Prompting and Reasoning Tasks. - Chris Kerslake, Paul Denny, David H. Smith IV, James Prather, Juho Leinonen, Andrew Luxton-Reilly, Stephen MacNeil:
Integrating Natural Language Prompting Tasks in Introductory Programming Courses. - Hisham Husain, Julien Monteil:
Geometric Collaborative Filtering with Convergence. - Shuowei Jin, Xueshen Liu, Qingzhao Zhang, Z. Morley Mao:
Compute Or Load KV Cache? Why Not Both? - Vishnu D. Sharma, Jeongran Lee, Matthew Andrews, Ilija Hadzic:
Hybrid Classical/RL Local Planner for Ground Robot Navigation. - Minh Hieu Nguyen, Huu Tien Nguyen, Trung Thanh Nguyen, Manh Duong Nguyen, Trong Nghia Hoang, Truong Thao Nguyen, Phi Le Nguyen:
FedCert: Federated Accuracy Certification. - Pattaraporn Sangaroonsilp, Hoa Khanh Dam, Omar Haggag, John Grundy:
Interactive GDPR-Compliant Privacy Policy Generation for Software Applications. - Manh Duong Nguyen, Trung Thanh Nguyen, Huy Hieu Pham, Trong Nghia Hoang, Phi Le Nguyen, Thanh Trung Huynh:
FedMAC: Tackling Partial-Modality Missing in Federated Learning with Cross-Modal Aggregation and Contrastive Regularization. - Pritom Saha Akash, Kevin Chen-Chuan Chang:
Enhancing Short-Text Topic Modeling with LLM-Driven Context Expansion and Prefix-Tuned VAEs. - Yorai Shaoul, Itamar Mishani, Shivam Vats, Jiaoyang Li, Maxim Likhachev:
Multi-Robot Motion Planning with Diffusion Models. - Yuehan Qin, Yichi Zhang, Yi Nian, Xueying Ding, Yue Zhao:
MetaOOD: Automatic Selection of OOD Detection Models. - Dimosthenis Antypas, Asahi Ushio, Francesco Barbieri, José Camacho-Collados:
Multilingual Topic Classification in X: Dataset and Analysis. - Jing Yuan Luo, Yunlong Song, Victor Klemm, Fan Shi, Davide Scaramuzza, Marco Hutter:
Residual Policy Learning for Perceptive Quadruped Control Using Differentiable Simulation. - Jun Rao, Xuebo Liu, Lian Lian, Shengjun Cheng, Yunjie Liao, Min Zhang:
CommonIT: Commonality-Aware Instruction Tuning for Large Language Models via Data Partitions. - Tiancheng Li, Peter Walker, Danial Hammoud, Liang Zhao, Shoudong Huang:
Partial-to-Full Registration based on Gradient-SDF for Computer-Assisted Orthopedic Surgery. - Caixia Zhou, Yaping Huang, Mochu Xiang, Jiahui Ren, Haibin Ling, Jing Zhang:
Generative Edge Detection with Stable Diffusion. - Ernie Chang, Matteo Paltenghi, Yang Li, Pin-Jie Lin, Changsheng Zhao, Patrick Huber, Zechun Liu, Rastislav Rabatin, Yangyang Shi, Vikas Chandra:
Scaling Parameter-Constrained Language Models with Quality Data. - Parikshit Pareek, Kaarthik Sundar, Deepjyoti Deka, Sidhant Misra:
Optimization Proxies using Limited Labeled Data and Training Time - A Semi-Supervised Bayesian Neural Network Approach. - Danyi Chen, Ravi Prakash, Zacharias Chen, Sarah Dias, Vincent Wang, Leila Bridgeman, Siobhan Rigby Oca:
Design and Evaluation of a Compliant Quasi Direct Drive End-effector for Safe Robotic Ultrasound Imaging. - Jing Xiong, Jianghan Shen, Fanghua Ye, Chaofan Tao, Zhongwei Wan, Jianqiao Lu, Xun Wu, Chuanyang Zheng, Zhijiang Guo, Lingpeng Kong, Ngai Wong:
UNComp: Uncertainty-Aware Long-Context Compressor for Efficient Large Language Model Inference. - Ross Gruetzemacher, Shahar Avin, James Fox, Alexander K. Saeri:
Strategic Insights from Simulation Gaming of AI Race Dynamics. - Leixian Shen, Haotian Li, Yun Wang, Tianqi Luo, Yuyu Luo, Huamin Qu:
Data Playwright: Authoring Data Videos with Annotated Narration. - Ziqi Jiang, Zhen Wang, Long Chen:
Combing Text-based and Drag-based Editing for Precise and Flexible Image Editing. - Arnav Hiray, Yunsong Liu, Mingxiao Song, Agam Shah, Sudheer Chava:
CoCoHD: Congress Committee Hearing Dataset. - Eunbin Ha, Haein Kong, Shagun Jhaver:
Examining Racial Stereotypes in YouTube Autocomplete Suggestions. - Yifeng Ding, Hantian Ding, Shiqi Wang, Qing Sun, Varun Kumar, Zijian Wang:
Horizon-Length Prediction: Advancing Fill-in-the-Middle Capabilities for Code Generation with Lookahead Planning. - Ojas Kanhere, Hitesh Poddar, Theodore S. Rappaport:
Calibration of NYURay for Ray Tracing using 28, 73, and 142 GHz Channel Measurements conducted in Indoor, Outdoor, and Factory Scenarios. - Md. Maklachur Rahman, Abdullah Aman Tutul, Ankur Nath, Lamyanba Laishram, Soon Ki Jung, Tracy Hammond:
Mamba in Vision: A Comprehensive Survey of Techniques and Applications. - Sheng Yang, Fengge Wu, Junsuo Zhao:
MBDS: A Multi-Body Dynamics Simulation Dataset for Graph Networks Simulators. - Yanfang Liu, Yuan Chen, Dongbin Xiu, Guannan Zhang:
A Training-Free Conditional Diffusion Model for Learning Stochastic Dynamical Systems. - Rongzhi Zhang, Kuang Wang, Liyuan Liu, Shuohang Wang, Hao Cheng, Chao Zhang, Yelong Shen:
LoRC: Low-Rank Compression for LLMs KV Cache with a Progressive Compression Strategy. - Haoran Xu, Kenton Murray, Philipp Koehn, Hieu Hoang, Akiko Eriguchi, Huda Khayrallah:
X-ALMA: Plug & Play Modules and Adaptive Rejection for Quality Translation at Scale. - Ippei Fujisawa, Sensho Nobe, Hiroki Seto, Rina Onda, Yoshiaki Uchida, Hiroki Ikoma, Pei-Chun Chien, Ryota Kanai:
ProcBench: Benchmark for Multi-Step Reasoning and Following Procedure. - Neisarg Dave, Daniel Kifer, C. Lee Giles, Ankur Arjun Mali:
Precision, Stability, and Generalization: A Comprehensive Assessment of RNNs learnability capability for Classifying Counter and Dyck Languages. - Marcos Negre Saura, Richard Allmendinger, Theodore Papamarkou, Wei Pan:
Spatial-aware decision-making with ring attractors in reinforcement learning systems. - Yu Wang, Hongyu Chen, Ke Wang:
Beyond the Phase Ordering Problem: Finding the Globally Optimal Code w.r.t. Optimization Phases. - Zihao Zhao, Yuchen Yang, Yijiang Li, Yinzhi Cao:
RIPPLECOT: Amplifying Ripple Effect of Knowledge Editing in Language Models via Chain-of-Thought In-Context Learning. - Haotian Yin, Przemyslaw Musialski:
Shrinking: Reconstruction of Parameterized Surfaces from Signed Distance Fields. - Zhen-Yu Zhang, Jiandong Zhang, Huaxiu Yao, Gang Niu, Masashi Sugiyama:
On Unsupervised Prompt Learning for Classification with Black-box Language Models. - Meric Altug Gemalmaz, Ming Yin:
Understanding Decision Subjects' Engagement with and Perceived Fairness of AI Models When Opportunities of Qualification Improvement Exist. - Zhiteng Li, Xianglong Yan, Tianao Zhang, Haotong Qin, Dong Xie, Jiang Tian, Zhongchao Shi, Linghe Kong, Yulun Zhang, Xiaokang Yang:
ARB-LLM: Alternating Refined Binarizations for Large Language Models. - Bhrij Patel, Souradip Chakraborty, Wesley A. Suttle, Mengdi Wang, Amrit Singh Bedi, Dinesh Manocha:
AIME: AI System Optimization via Multiple LLM Evaluators. - Xinyu Zhang, Yuhan Liu, Haonan Chang, Liam Schramm, Abdeslam Boularias:
Autoregressive Action Sequence Learning for Robotic Manipulation. - Yan Chen, Cheng Liu:
Remaining Useful Life Prediction: A Study on Multidimensional Industrial Signal Processing and Efficient Transfer Learning Based on Large Language Models. - Siheng Xiong, Ali Payani, Yuan Yang, Faramarz Fekri:
Deliberate Reasoning for LLMs as Structure-aware Planning with Accurate World Model. - Chenning Xu, Fangxun Shu, Dian Jin, Jinghao Wei, Hao Jiang:
SAG: Style-Aligned Article Generation via Model Collaboration. - Hyosoon Jang, Yunhui Jang, Jaehyung Kim, Sungsoo Ahn:
Can LLMs Generate Diverse Molecules? Towards Alignment with Structural Diversity. - Hrayr Harutyunyan, Rafayel Darbinyan, Samvel Karapetyan, Hrant Khachatrian:
In-context Learning in Presence of Spurious Correlations. - Ethan Kane Waters, Carla Chia-Ming Chen, Mostafa Rahimi Azghadi:
Machine Learning for Asymptomatic Ratoon Stunting Disease Detection With Freely Available Satellite Based Multispectral Imaging. - Kyuyoung Kim, Ah Jeong Seo, Hao Liu, Jinwoo Shin, Kimin Lee:
Margin Matching Preference Optimization: Enhanced Model Alignment with Granular Feedback. - Sen Fang, Sizhou Chen, Yalin Feng, Xiaofeng Zhang, Teik Toe Teoh:
Bridging the Gap between Text, Audio, Image, and Any Sequence: A Novel Approach using Gloss-based Annotation. - Mikey Elmers, Koji Inoue, Divesh Lala, Keiko Ochi, Tatsuya Kawahara:
Analysis and Detection of Differences in Spoken User Behaviors between Autonomous and Wizard-of-Oz Systems. - Zachary J. Wegert, Anthony P. Roberts, Vivien J. Challis:
Memory-distributed level set-based inverse homogenisation of three-dimensional piezoelectric materials. - Rohan Das, Aditya Chandra, I-Ta Lee, Maria Leonor Pacheco:
Media Framing through the Lens of Event-Centric Narratives. - Vincent Y. Wang, Ravi Prakash, Siobhan Rigby Oca, Ethan J. LoCicero, Patrick J. Codd, Leila Jasmine Bridgeman:
Sampling-Based Model Predictive Control for Volumetric Ablation in Robotic Laser Surgery. - Shrabon Das, Ankur Mali:
Exploring Learnability in Memory-Augmented Recurrent Neural Networks: Precision, Stability, and Empirical Insights. - Yinpeng Chen, DeLesley Hutchins, Aren Jansen, Andrey Zhmoginov, David Racz, Jesper Andersen:
MELODI: Exploring Memory Compression for Long Contexts. - Siddhanth Bhat:
Mathematical Formalism for Memory Compression in Selective State Space Models. - Jiecheng Lu, Xu Han, Yan Sun, Shihao Yang:
Autoregressive Moving-average Attention Mechanism for Time Series Forecasting. - Yaofang Liu, Yumeng Ren, Xiaodong Cun, Aitor Artola, Yang Liu, Tieyong Zeng, Raymond H. Chan, Jean-Michel Morel:
Redefining Temporal Modeling in Video Diffusion: The Vectorized Timestep Approach. - Sen Jia, Lei Li:
Adaptive Masking Enhances Visual Grounding. - Aiwei Liu, Sheng Guan, Yiming Liu, Leyi Pan, Yifei Zhang, Liancheng Fang, Lijie Wen, Philip S. Yu, Xuming Hu:
Can Watermarked LLMs be Identified by Users via Crafted Prompts? - Dale Schuurmans, Hanjun Dai, Francesco Zanini:
Autoregressive Large Language Models are Computationally Universal. - Yichu Xu, Di Wang, Lefei Zhang, Liangpei Zhang:
Selective Transformer for Hyperspectral Image Classification. - Mani Valleti, Aditya Raghavan, Sergei V. Kalinin:
Rapid optimization in high dimensional space by deep kernel learning augmented genetic algorithms. - Hao Zhang, Yongqiang Ma, Wenqi Shao, Ping Luo, Nanning Zheng, Kaipeng Zhang:
HRVMamba: High-Resolution Visual State Space Model for Dense Prediction. - Yufang Liu, Tao Ji, Changzhi Sun, Yuanbin Wu, Aimin Zhou:
Investigating and Mitigating Object Hallucinations in Pretrained Vision-Language (CLIP) Models. - Yang Yu, Xiaoqing Tang:
Hybrid Centralized-Distributed Resource Allocation Based on Deep Reinforcement Learning for Cooperative D2D Communications. - Ming Liu, Zhaojian Wang, Feng Liu, Ming Cao, Bo Yang:
Optimal Control in Both Steady State and Transient Process with Unknown Disturbances. - Tomohiro Oda, Han-Myung Chang:
Specification Slicing for VDM-SL. - Seungjong Sun, Eungu Lee, Seo Yeon Baek, Seunghyun Hwang, Wonbyung Lee, Dongyan Nan, Bernard J. Jansen, Jang Hyun Kim:
Kiss up, Kick down: Exploring Behavioral Changes in Multi-modal Large Language Models with Assigned Visual Personas. - Raphaël Merx, Ekaterina Vylomova, Kemal Kurniawan:
Generating bilingual example sentences with large language models as lexicography assistants. - Sylvain Bellemare:
Research Directions for Verifiable Crypto-Physically Secure TEEs. - Moran Shkolnik, Maxim Fishman, Brian Chmiel, Hilla Ben-Yaacov, Ron Banner, Kfir Yehuda Levy:
EXAQ: Exponent Aware Quantization For LLMs Acceleration. - Nan Jiang, Zimo He, Zi Wang, Hongjie Li, Yixin Chen, Siyuan Huang, Yixin Zhu:
Autonomous Character-Scene Interaction Synthesis from Text Instruction. - Andrea M. Storås, Josefine Vilsbøll Sundgaard:
Looking into Concept Explanation Methods for Diabetic Retinopathy Classification. - Qian Zhang:
Generalizable Prompt Tuning for Vision-Language Models. - Zichen Miao, Zhengyuan Yang, Kevin Lin, Ze Wang, Zicheng Liu, Lijuan Wang, Qiang Qiu:
Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization. - Vibhuti Kumari, Narayana Murthy Kavi:
Parallel Corpus Augmentation using Masked Language Models. - Jukka Ruohonen, Kalle Hjerppe:
The Potential of Citizen Platforms for Requirements Engineering of Large Socio-Technical Software Systems. - Seonjeong Hwang, Yunsu Kim, Gary Geunbae Lee:
Cross-lingual Transfer for Automatic Question Generation by Learning Interrogative Structures in Target Languages. - Saleh Afzoon, Usman Naseem, Amin Beheshti, Zahra Jamali:
PersoBench: Benchmarking Personalized Response Generation in Large Language Models. - Jarkko Peltomäki, Ivan Porres:
Learning test generators for cyber-physical systems. - Akshay Chaturvedi, Nicholas Asher:
Learning Semantic Structure through First-Order-Logic Translation. - Indrakshi Dey, Nicola Marchetti:
Optimized Topology Control for IoT Networks using Graph-based Localization. - Eneko Osaba, Esther Villar-Rodriguez, Javier Del Ser, Antonio J. Nebro, Daniel Molina, Antonio LaTorre, Ponnuthurai N. Suganthan, Carlos A. Coello Coello, Francisco Herrera:
A Tutorial on the Design, Experimentation and Application of Metaheuristic Algorithms to Real-World Optimization Problems. - Alston Lantian Xu, Tianwei Ma, Tianmeng Liu, Can Liu, Álvaro Cassinelli:
StoryNavi: On-Demand Narrative-Driven Reconstruction of Video Play With Generative AI. - Iulia Duta, Pietro Liò:
SPHINX: Structural Prediction using Hypergraph Inference Network. - Emil Vatai, Aleksandr Drozd, Ivan R. Ivanov, Yinghao Ren, Mohamed Wahib:
Tadashi: Enabling AI-Based Automated Code Generation With Guaranteed Correctness. - Reza Rahimi Azghan, Nicholas C. Glodosky, Ramesh Kumar Sah, Carrie Cuttler, Ryan McLaughlin, Michael J. Cleveland, Hassan Ghasemzadeh:
CUDLE: Learning Under Label Scarcity to Detect Cannabis Use in Uncontrolled Environments. - Yuxiang Zhang, Xin Fan, Junjie Wang, Chongxian Chen, Fan Mo, Tetsuya Sakai, Hayato Yamana:
Data-Efficient Massive Tool Retrieval: A Reinforcement Learning Approach for Query-Tool Alignment with Language Models. - Ankush Acharyya, Vahideh Keikha, Maria Saumell, Rodrigo I. Silveira:
Computing largest minimum color-spanning intervals of imprecise points. - Pramit Sahoo, Maharaj Brahma, Maunendra Sankar Desarkar:
NLIP_Lab-IITH Low-Resource MT System for WMT24 Indic MT Shared Task. - Kishu Gupta, Deepika Saxena, Pooja Rani, Jitendra Kumar, Aaisha Makkar, Ashutosh Kumar Singh, Chung-Nan Lee:
An Intelligent Quantum Cyber-Security Framework for Healthcare Data Management. - Apiradee Boonmee, Kritsada Wongsuwan, Pimchanok Sukjai:
Consultation on Industrial Machine Faults with Large language Models. - Anyi Rao, Jean-Peïc Chou, Maneesh Agrawala:
ScriptViz: A Visualization Tool to Aid Scriptwriting based on a Large Movie Database. - Luca Gioacchini, Marco Mellia, Idilio Drago, Alexander Delsanto, Giuseppe Siracusano, Roberto Bifulco:
AutoPenBench: Benchmarking Generative Agents for Penetration Testing. - Sicheng Yu, Chengkai Jin, Huanyu Wang, Zhenghao Chen, Sheng Jin, Zhongrong Zuo, Xiaolei Xu, Zhenbang Sun, Bingni Zhang, Jiawei Wu, Hao Zhang, Qianru Sun:
Frame-Voyager: Learning to Query Frames for Video Large Language Models. - Huayang Li, Pat Verga, Priyanka Sen, Bowen Yang, Vijay Viswanathan, Patrick Lewis, Taro Watanabe, Yixuan Su:
ALR2: A Retrieve-then-Reason Framework for Long-context Question Answering. - Jihun Kim, Javad Lavaei:
Online Bandit Nonlinear Control with Dynamic Batch Length and Adaptive Learning Rate. - Jia Li, Yuqi Zhu, Yongmin Li, Ge Li, Zhi Jin:
Showing LLM-Generated Code Selectively Based on Confidence of LLMs. - Elias Crum, Antonio De Santis, Manon Ovide, Jiaxin Pan, Alessia Pisu, Nicolas Lazzari, Sebastian Rudolph:
Enriching Ontologies with Disjointness Axioms using Large Language Models. - Adam Nohejl, Frederikus Hudi, Eunike Andriani Kardinata, Shintaro Ozaki, Maria Angelica Riera Machin, Hongyu Sun, Justin Vasselli, Taro Watanabe:
Beyond Film Subtitles: Is YouTube the Best Approximation of Spoken Vocabulary? - Oliver Hausdörfer, Alexander von Rohr, Éric Lefort, Angela Schoellig:
Latent Action Priors From a Single Gait Cycle Demonstration for Online Imitation Learning. - Sebastian Bordt, Suraj Srinivas, Valentyn Boreiko, Ulrike von Luxburg:
How much can we forget about Data Contamination? - Carlo Piccardi:
An egonet-based approach to effective weighted network comparison. - Nishkal Gupta Myadam:
Dynamic Curvature Constrained Path Planning. - Yu-Min Tseng, Wei-Lin Chen, Chung-Chi Chen, Hsin-Hsi Chen:
Are Expert-Level Language Models Expert-Level Annotators? - Kiran Busch, Henrik Leopold:
Towards a Benchmark for Large Language Models for Business Process Management Tasks. - Gunjan Balde, Soumyadeep Roy, Mainack Mondal, Niloy Ganguly:
Adaptive BPE Tokenization for Enhanced Vocabulary Adaptation in Finetuning Pretrained Language Models. - Jennie Couchman, Orestis Kaparounakis, Chatura Samarakoon, Phillip Stanley-Marbell:
Simulated Eyeblink Artifact Removal with ICA: Effect of Measurement Uncertainty. - Kazuki Adachi, Shin'ya Yamaguchi, Atsutoshi Kumagai, Tomoki Hamagami:
Test-time Adaptation for Regression by Subspace Alignment. - Seungheon Doh, Minhee Lee, Dasaem Jeong, Juhan Nam:
Enriching Music Descriptions with a Finetuned-LLM and Metadata for Text-to-Music Retrieval. - Yuta Kanzawa, Toyotaro Suzumura, Hiroki Kanezashi, Jiawei Yong, Shintaro Fukushima:
Multimodal Point-of-Interest Recommendation. - Zekai Shao, Leixian Shen, Haotian Li, Yi Shan, Huamin Qu, Yun Wang, Siming Chen:
Narrative Player: Reviving Data Narratives with Visuals. - Francisco M. Castro-Macías, Pablo Morales-Álvarez, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos:
Sm: enhanced localization in Multiple Instance Learning for medical imaging classification. - Shenbin Qian, Constantin Orasan, Diptesh Kanojia, Félix do Carmo:
A Multi-task Learning Framework for Evaluating Machine Translation of Emotion-loaded User-generated Content. - Shenbin Qian, Archchana Sindhujan, Minnie Kabra, Diptesh Kanojia, Constantin Orasan, Tharindu Ranasinghe, Frédéric Blain:
What do Large Language Models Need for Machine Translation Evaluation? - Maryam Mohammadi, Alvise Sommariva, Marco Vianello:
Unisolvence of Kansa collocation for elliptic equations by polyharmonic splines with random fictitious centers. - Gonzalo Iñaki Quintana, Laurence Vancamberg, Vincent Jugnon, Mathilde Mougeot, Agnès Desolneux:
BN-SCAFFOLD: controlling the drift of Batch Normalization statistics in Federated Learning. - Jannis Chemseddine, Christian Wald, Richard Duong, Gabriele Steidl:
Neural Sampling from Boltzmann Densities: Fisher-Rao Curves in the Wasserstein Geometry. - Yu Chen, Jiatai Huang, Yan Dai, Longbo Huang:
uniINF: Best-of-Both-Worlds Algorithm for Parameter-Free Heavy-Tailed MABs. - Thomas Maillart, Lucia Gomez, Ewa Lombard, Alexander Nolte, Francesco Pisano:
Computational Diplomacy: How "hackathons for good" feed a participatory future for multilateralism in the digital age. - Simone Arreghini, Gabriele Abbate, Alessandro Giusti, Antonio Paolillo:
A Service Robot in the Wild: Analysis of Users Intentions, Robot Behaviors, and Their Impact on the Interaction. - Haibo Wang, Zhiyang Xu, Yu Cheng, Shizhe Diao, Yufan Zhou, Yixin Cao, Qifan Wang, Weifeng Ge, Lifu Huang:
Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models. - Matteo Rufolo, Dario Piga, Gabriele Maroni, Marco Forgione:
Enhanced Transformer architecture for in-context learning of dynamical systems. - Thieu N. Vo, Tung D. Pham, Xin T. Tong, Tan Minh Nguyen:
Demystifying the Token Dynamics of Deep Selective State Space Models. - Nirmalya Thakur:
Five Years of COVID-19 Discourse on Instagram: A Labeled Instagram Dataset of Over Half a Million Posts for Multilingual Sentiment Analysis. - Tianheng Ling, Chao Qian, Gregor Schiele:
Resource-aware Mixed-precision Quantization for Enhancing Deployability of Transformers for Time-series Forecasting on Embedded FPGAs. - Stephanie Brandl, Oliver Eberle:
Comparing zero-shot self-explanations with human rationales in multilingual text classification. - Trung Thanh Nguyen, Yasutomo Kawanishi, Takahiro Komamizu, Ichiro Ide:
Action Selection Learning for Multi-label Multi-view Action Recognition. - Boyu Li, Haobin Jiang, Ziluo Ding, Xinrun Xu, Haoran Li, Dongbin Zhao, Zongqing Lu:
SELU: Self-Learning Embodied MLLMs in Unknown Environments. - Javier Cembrano, José Correa, Gonzalo Díaz, Victor Verdugo:
Proportionality in Multiple Dimensions to Design Electoral Systems. - Sameer Ambekar, Julia A. Schnabel, Cosmin I. Bercea:
Selective Test-Time Adaptation for Unsupervised Anomaly Detection using Neural Implicit Representations. - Gabriel Bathie, Jonas Ellert, Tatiana Starikovskaya:
Small Space Encoding and Recognition of k-Palindromic Prefixes. - Ye Wang, Sipeng Zheng, Bin Cao, Qianshan Wei, Qin Jin, Zongqing Lu:
Quo Vadis, Motion Generation? From Large Language Models to Large Motion Models. - Pavel Stepachev, Pinzhen Chen, Barry Haddow:
Context and System Fusion in Post-ASR Emotion Recognition with Large Language Models. - Christian Rennert, Mahsa Pourbafrani, Wil M. P. van der Aalst:
Evaluation of Study Plans using Partial Orders. - Yue Tan, Guodong Long, Jing Jiang, Chengqi Zhang:
Influence-oriented Personalized Federated Learning. - Minheng Ni, Yutao Fan, Lei Zhang, Wangmeng Zuo:
Visual-O1: Understanding Ambiguous Instructions via Multi-modal Multi-turn Chain-of-thoughts Reasoning. - Aashutosh Ganesh, Mirela Popa, Daan Odijk, Nava Tintarev:
Does SpatioTemporal information benefit Two video summarization benchmarks? - Thorben Ortmann, Qi Wang, Larissa Putzar:
EmojiHeroVR: A Study on Facial Expression Recognition under Partial Occlusion from Head-Mounted Displays. - Gary Murphy, Raghubir Singh:
Comparative Analysis and Ensemble Enhancement of Leading CNN Architectures for Breast Cancer Classification. - Ahmed Abdulaal, Hugo Fry, Nina Montaña Brown, Ayodeji Ijishakin, Jack Gao, Stephanie L. Hyland, Daniel C. Alexander, Daniel C. Castro:
An X-Ray Is Worth 15 Features: Sparse Autoencoders for Interpretable Radiology Report Generation. - Zixuan Wang, Yu-Wing Tai, Chi-Keung Tang:
Audio-Agent: Leveraging LLMs For Audio Generation, Editing and Composition. - Neil Agarwal, Rui Pan, Francis Y. Yan, Ravi Netravali:
Tarzan: Passively-Learned Real-Time Rate Control for Video Conferencing. - Marek Strong, Rami Aly, Andreas Vlachos:
Zero-Shot Fact Verification via Natural Logic and Large Language Models. - Frederik Armknecht, Ghassan Karame, Malcom Mohamed, Christiane Weis:
Practical Light Clients for Committee-Based Blockchains. - Aaditya Naik, Jason Liu, Claire Wang, Saikat Dutta, Mayur Naik, Eric Wong:
Dolphin: A Programmable Framework for Scalable Neurosymbolic Learning. - Jia Li, Ge Li, Lecheng Wang, Hao Zhu, Zhi Jin:
Generating Equivalent Representations of Code By A Self-Reflection Approach. - Doohyuk Jang, Sihwan Park, June Yong Yang, Yeonsung Jung, Jihun Yun, Souvik Kundu, Sungyub Kim, Eunho Yang:
LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding. - Jeongwoo Kang, Maximin Coavoux, Cédric Lopez, Didier Schwab:
Should Cross-Lingual AMR Parsing go Meta? An Empirical Assessment of Meta-Learning and Joint Learning AMR Parsing. - Yongli Yan, Jieao Zhu, Tianyue Zheng, Jiaqi He, Linglong Dai:
Error Correction Code Transformer: From Non-Unified to Unified. - Marc Gillioz, Guillaume Dubuis, Philippe Jacquod:
Large Synthetic Datasets for Machine Learning Applications in Power Systems. - Giulio Franzese, Mattia Martini, Giulio Corallo, Paolo Papotti, Pietro Michiardi:
Latent Abstractions in Generative Diffusion Models. - Florian Philippe, Johann Laconte, Pierre-Jean Lapray, Matthias Spisser, Jean-Philippe Lauffenburger:
Collision-Aware Traversability Analysis for Autonomous Vehicles in the Context of Agricultural Robotics. - Patryk Krukowski, Daniel Wilczak, Jacek Tabor, Anna Bielawska, Przemyslaw Spurek:
Make Interval Bound Propagation great again. - Brandon James Carone, Pablo Ripollés:
SoundSignature: What Type of Music Do You Like? - Tung Minh Luu, Thanh Nguyen, Tee Joshua Tian Jin, Sungwoon Kim, Chang D. Yoo:
Mitigating Adversarial Perturbations for Deep Reinforcement Learning via Vector Quantization. - Karl A. Kalina, Jörg Brummund, WaiChing Sun, Markus Kästner:
Neural networks meet anisotropic hyperelasticity: A framework based on generalized structure tensors and isotropic tensor functions. - Menghua Wu, Umesh Padia, Sean H. Murphy, Regina Barzilay, Tommi S. Jaakkola:
Predicting perturbation targets with causal differential networks. - Atli Jasonarson, Hinrik Hafsteinsson, Bjarki Ármannsson, Steinþór Steingrímsson:
Cogs in a Machine, Doing What They're Meant to Do - The AMI Submission to the WMT24 General Translation Task. - Guilherme de Santi Peron, Marcos Eduardo Pivaro Monteiro, João Luís Verdegay de Barros, Jamil Farhat, Glauber Brante:
Performance Analysis of 6TiSCH Networks Using Discrete Events Simulator. - Davy Darankoum, Manon Villalba, Clelia Allioux, Baptiste Caraballo, Carine Dumont, Eloise Gronlier, Corinne Roucard, Yann Roche, Chloe Habermacher, Sergei Grudinin, Julien Volle:
From Epilepsy Seizures Classification to Detection: A Deep Learning-based Approach for Raw EEG Signals. - Di Wang, Yidan Hu, Eng Sing Lee, Hui Hwang Teong, Ray Tian Rui Lai, Wai Han Hoi, Chunyan Miao:
Chronic Disease Diagnoses Using Behavioral Data. - Nils Lehmann, Jakob Gawlikowski, Adam J. Stewart, Vytautas Jancauskas, Stefan Depeweg, Eric T. Nalisnick, Nina Maria Gottschling:
Lightning UQ Box: A Comprehensive Framework for Uncertainty Quantification in Deep Learning. - Bjarki Ármannsson, Hinrik Hafsteinsson, Atli Jasonarson, Steinþór Steingrímsson:
Killing Two Flies with One Stone: An Attempt to Break LLMs Using English->Icelandic Idioms and Proper Names. - Shijin Duan, Ruyi Ding, Jiaxing He, Aidong Adam Ding, Yunsi Fei, Xiaolin Xu:
GraphCroc: Cross-Correlation Autoencoder for Graph Structural Reconstruction. - Narges Gholipoor, Farid Hamzeh Aghdam, Mehdi Rasti:
Strategic Utilization of Cellular Operator Energy Storages for Smart Grid Frequency Regulation. - Dmitry Osin, Igor Udovichenko, Viktor Moskvoretskii, Egor Shvetsov, Evgeny Burnaev:
EBES: Easy Benchmarking for Event Sequences. - Lingzhou Hong, Alfredo García:
Distributed Networked Multi-task Learning. - Shuangqing Xu, Yifeng Zheng, Zhongyun Hua:
Camel: Communication-Efficient and Maliciously Secure Federated Learning in the Shuffle Model of Differential Privacy. - Tung Minh Luu, Donghoon Lee, Chang D. Yoo:
Predictive Coding for Decision Transformer. - Pablo S. Naharro, Pablo Toharia, Antonio LaTorre, José-María Peña:
Comparative study of regression vs pairwise models for surrogate-based heuristic optimisation. - Valter Hudovernik, Martin Jurkovic, Erik Strumbelj:
Benchmarking the Fidelity and Utility of Synthetic Relational Data. - Olga Iakovenko, Anna Andreeva, Anna Lapidus, Liana Mikaelyan:
Team MTS @ AutoMin 2021: An Overview of Existing Summarization Approaches and Comparison to Unsupervised Summarization Techniques. - Georgios Papandroulidakis, Shady Agwa, Ahmet Cirakoglu, Themis Prodromakis:
A 9T4R RRAM-Based ACAM for Analogue Template Matching at the Edge. - Xinpeng Wang, Chengzhi Hu, Paul Röttger, Barbara Plank:
Surgical, Cheap, and Flexible: Mitigating False Refusal in Language Models via Single Vector Ablation. - Shuichi Hirahara, Naoto Ohsaka:
Asymptotic Inapproximability of Reconfiguration Problems: Maxmin k-Cut and Maxmin Ek-SAT. - Tianrun Chen, Chunan Yu, Yuanqi Hu, Jing Li, Tao Xu, Runlong Cao, Lanyun Zhu, Ying Zang, Yong Zhang, Zejian Li, Linyun Sun:
Img2CAD: Conditioned 3D CAD Model Generation from Single Image with Structured Visual Geometry. - Liangying Shao, Liang Zhang, Minlong Peng, Guoqi Ma, Hao Yue, Mingming Sun, Jinsong Su:
One2set + Large Language Model: Best Partners for Keyphrase Generation. - JJ Wilson, Maya Bechler-Speicher, Petar Velickovic:
Cayley Graph Propagation. - Yaodong Ma, Kai Liu, Yanming Liu, Lipeng Zhu, Zhenyu Xiao:
Movable-Antenna Aided Secure Transmission for RIS-ISAC Systems. - Marius Miron, Sara Keen, Jen-Yu Liu, Benjamin Hoffman, Masato Hagiwara, Olivier Pietquin, Felix Effenberger, Maddie Cusimano:
Biodenoising: animal vocalization denoising without access to clean data. - Alican Alasik, Nihan Yildirim:
Research Landscape of the novel emerging field of Cryptoeconomics. - Adrian Cosma, Stefan Ruseti, Mihai Dascalu, Cornelia Caragea:
How Hard is this Test Set? NLI Characterization by Exploiting Training Dynamics. - Miriam Anschütz, Tringa Sylaj, Georg Groh:
Images Speak Volumes: User-Centric Assessment of Image Generation for Accessible Communication. - Monoshiz Mahbub Khan, Zhe Yu:
Approaching Code Search for Python as a Translation Retrieval Problem with Dual Encoders. - Johannes Kruse, Kasper Lindskow, Saikishore Kalloori, Marco Polignano, Claudio Pomo, Abhishek Srivastava, Anshuk Uppal, Michael Riis Andersen, Jes Frellsen:
EB-NeRD: A Large-Scale Dataset for News Recommendation. - Dazhong He, Qian Liu:
Self-supervised Spatio-Temporal Graph Mask-Passing Attention Network for Perceptual Importance Prediction of Multi-point Tactility. - Yiqun Sun, Qiang Huang, Yixuan Tang, Anthony K. H. Tung, Jun Yu:
A General Framework for Producing Interpretable Semantic Text Embeddings. - Louis Serrano, Armand Kassaï Koupaï, Thomas X. Wang, Pierre Erbacher, Patrick Gallinari:
Zebra: In-Context and Generative Pretraining for Solving Parametric PDEs. - Ci Li, Yi Yang, Zehang Weng, Elin Hernlund, Silvia Zuffi, Hedvig Kjellström:
Dessie: Disentanglement for Articulated 3D Horse Shape and Pose Estimation from Images. - Renxi Wang, Xudong Han, Lei Ji, Shu Wang, Timothy Baldwin, Haonan Li:
ToolGen: Unified Tool Retrieval and Calling via Generation. - Zhengyan Zhang, Chaojun Xiao, Qiujieli Qin, Yankai Lin, Zhiyuan Zeng, Xu Han, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Jie Zhou:
Exploring the Benefit of Activation Sparsity in Pre-training. - Guy Tevet, Sigal Raab, Setareh Cohan, Daniele Reda, Zhengyi Luo, Xue Bin Peng, Amit H. Bermano, Michiel van de Panne:
CLoSD: Closing the Loop between Simulation and Diffusion for multi-task character control. - Yen-Cheng Chu, Kai-Cheng Fang, Feng-Li Lian:
Attainable Force Approximation and Full-Pose Tracking Control of an Over-Actuated Thrust-Vectoring Modular Team UAV. - Dennis Ulmer:
On Uncertainty In Natural Language Processing. - Hamidreza Amirzadeh, Afra Alishahi, Hosein Mohebbi:
How Language Models Prioritize Contextual Grammatical Cues? - Mahika Phutane, Ananya Seelam, Aditya Vashistha:
How Toxicity Classifiers and Large Language Models Respond to Ableism. - Junpeng Yue, Xinrun Xu, Börje F. Karlsson, Zongqing Lu:
MLLM as Retriever: Interactively Learning Multimodal Retrieval for Embodied Agents. - Wangbo Zhao, Yizeng Han, Jiasheng Tang, Kai Wang, Yibing Song, Gao Huang, Fan Wang, Yang You:
Dynamic Diffusion Transformer. - Min-Hsuan Yeh, Ruyuan Wan, Ting-Hao Kenneth Huang:
CoCoLoFa: A Dataset of News Comments with Common Logical Fallacies Written by LLM-Assisted Crowds. - Nguyen Van Dinh, Thanh Chi Dang, Luan Thanh Nguyen, Kiet Van Nguyen:
Multi-Dialect Vietnamese: Task, Dataset, Baseline Models and Challenges. - Jiahao Zheng, Jinke Ren, Peng Xu, Zhihao Yuan, Jie Xu, Fangxin Wang, Gui Gui, Shuguang Cui:
Generative Semantic Communication for Text-to-Speech Synthesis. - Tobias Leemann, Periklis Petridis, Giuseppe Vietri, Dionysis Manousakas, Aaron Roth, Sergül Aydöre:
Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval Augmented Generation. - Isaac Reid, Kumar Avinava Dubey, Deepali Jain, Will Whitney, Amr Ahmed, Joshua Ainslie, Alex Bewley, Mithun George Jacob, Aranyak Mehta, David Rendleman, Connor Schenck, Richard E. Turner, René Wagner, Adrian Weller, Krzysztof Choromanski:
Linear Transformer Topological Masking with Graph Random Features. - Rayhan Zirvi, Bahareh Tolooshams, Anima Anandkumar:
Diffusion State-Guided Projected Gradient for Inverse Problems. - Taylan Soydan, Nikola Zubic, Nico Messikommer, Siddhartha Mishra, Davide Scaramuzza:
S7: Selective and Simplified State Space Layers for Sequence Modeling. - Katherine Kosaian, Zili Wang, Elizabeth Sloan, Kristin Y. Rozier:
Formalizing MLTL Formula Progression in Isabelle/HOL. - Helena Bonaldi, Greta Damo, Nicolás Benjamín Ocampo, Elena Cabrio, Serena Villata, Marco Guerini:
Is Safer Better? The Impact of Guardrails on the Argumentative Strength of LLMs in Hate Speech Countering. - Pavel Snopov, Andrey Nikolaevich Golubinskiy:
Vulnerability Detection via Topological Analysis of Attention Maps. - Mohammad Parsa Toopchinezhad, Mahmood Ahmadi:
Deep Reinforcement Learning for Delay-Optimized Task Offloading in Vehicular Fog Computing. - Haris Aziz, Evi Micha, Nisarg Shah:
Group Fairness in Peer Review. - Shuchen Li, Ilias Zadik, Manolis Zampetakis:
On the Hardness of Learning One Hidden Layer Neural Networks. - Han Lin, Tushar Nagarajan, Nicolas Ballas, Mido Assran, Mojtaba Komeili, Mohit Bansal, Koustuv Sinha:
VEDIT: Latent Prediction Architecture For Procedural Video Representation Learning. - Larissa Schmid, Marcin Copik, Alexandru Calotoiu, Laurin Brandner, Anne Koziolek, Torsten Hoefler:
SeBS-Flow: Benchmarking Serverless Cloud Function Workflows. - Amr El-Azizi, Sharfin Islam, Pedro Piacenza, Ioannis Kymissis, Matei T. Ciocarlie:
A Compact, Low-cost Force and Torque Sensor for Robot Fingers with LED-based Displacement Sensing. - Zixi Chen, Qinghua Guan, Josie Hughes, Arianna Menciassi, Cesare Stefanini:
S2C2A: A Flexible Task Space Planning and Control Strategy for Modular Soft Robot Arms. - Ali Rabiee, Sima Ghafoori, Xiangyu Bai, Sarah Ostadabbas, Reza Abiri:
STREAMS: An Assistive Multimodal AI Framework for Empowering Biosignal Based Robotic Controls. - Kashish Gandhi, Prutha Kulkarni, Taran Shah, Piyush Chaudhari, Meera Narvekar, Kranti Ghag:
A Multimodal Framework for Deepfake Detection. - Hongcheng Wang, Peiqi Liu, Wenzhe Cai, Mingdong Wu, Zhengyu Qian, Hao Dong:
MO-DDN: A Coarse-to-Fine Attribute-based Exploration Agent for Multi-object Demand-driven Navigation. - Javier Rando, Hannah Korevaar, Erik Brinkman, Ivan Evtimov, Florian Tramèr:
Gradient-based Jailbreak Images for Multimodal Fusion Models. - Sean R. Wilkinson, Meznah Aloqalaa, Khalid Belhajjame, Michael R. Crusoe, Bruno de Paula Kinoshita, Luiz Gadelha, Daniel Garijo, Ove Johan Ragnar Gustafsson, Nick S. Juty, Sehrish Kanwal, Farah Zaib Khan, Johannes Köster, Karsten Peters-von Gehlen, Line Pouchard, Randy K. Rannow, Stian Soiland-Reyes, Nicola Soranzo, Shoaib Sufi, Ziheng Sun, Baiba Vilne, Merridee A. Wouters, Denis Yuen, Carole A. Goble:
Applying the FAIR Principles to Computational Workflows. - Robert E. Blackwell, Jon Barry, Anthony G. Cohn:
Towards Reproducible LLM Evaluation: Quantifying Uncertainty in LLM Benchmark Scores. - Wenhao Gao, Shitong Luo, Connor W. Coley:
Generative Artificial Intelligence for Navigating Synthesizable Chemical Space. - Madison Cooley, Varun Shankar, Robert M. Kirby, Shandian Zhe:
Fourier PINNs: From Strong Boundary Conditions to Adaptive Fourier Bases. - Abdulla Jasem Almansoori, Samuel Horváth, Martin Takác:
Collaborative and Efficient Personalization with Mixtures of Adaptors. - Sunny Gupta, Nikita Jangid, Amit Sethi:
FedStein: Enhancing Multi-Domain Federated Learning Through James-Stein Estimator. - Isabella W. G. da Silva, Zahra Mobini, Hien Quoc Ngo, Michail Matthaiou:
CSI Acquisition in Cell-Free Massive MIMO Surveillance Systems. - Zetian Ouyang, Yishuai Qiu, Linlin Wang, Gerard de Melo, Ya Zhang, Yanfeng Wang, Liang He:
CliMedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models in Clinical Scenarios. - Hendrik Kleikamp, Tizian Wenzel:
Kernel Methods in the Deep Ritz framework: Theory and practice. - Hassan Sartaj, Shaukat Ali, Julie Marie Gjøby:
Uncertainty-Aware Environment Simulation of Medical Devices Digital Twins. - Louis Thiry, Florentin Guth:
Classification-Denoising Networks. - Mustafa S. Abbas, Zahra Mobini, Hien Quoc Ngo, Michail Matthaiou:
Unicast-Multicast Cell-Free Massive MIMO: Gradient-Based Resource Allocation. - Pengwei Xie, Siang Chen, Qianrun Chen, Wei Tang, Dingchang Hu, Yixiang Dai, Rui Chen, Guijin Wang:
GAP-RL: Grasps As Points for RL Towards Dynamic Object Grasping. - Konstantin Hess, Stefan Feuerriegel:
Stabilized Neural Prediction of Potential Outcomes in Continuous Time. - Junru Zhou, Muhan Zhang:
Fine-Grained Expressive Power of Weisfeiler-Leman: A Homomorphism Counting Perspective. - Bartosz Przybyl, Jerzy Stefanowski:
Improving Online Bagging for Complex Imbalanced Data Stream. - Xinyuan Wang, Haozhou Li, Dingfang Zheng, Qinke Peng:
LCMDC: Large-scale Chinese Medical Dialogue Corpora for Automatic Triage and Medical Consultation. - Songsong Xiong, Hamidreza Kasaei:
HMT-Grasp: A Hybrid Mamba-Transformer Approach for Robot Grasping in Cluttered Environments. - Yan Scholten, Stephan Günnemann, Leo Schwinn:
A Probabilistic Perspective on Unlearning and Alignment for Large Language Models. - Yongchao Chen, Harsh Jhamtani, Srinagesh Sharma, Chuchu Fan, Chi Wang:
Steering Large Language Models between Code Execution and Textual Reasoning. - Ching Christie Pang, Yawei Zhao, Zhizhuo Yin, Jia Sun, Reza Hadi Mogavi, Pan Hui:
Artificial Human Lecturers: Initial Findings From Asia's First AI Lecturers in Class to Promote Innovation in Education. - Camiel J. J. Beckers, Feye Sietze Johan Hoekstra, Frank Willems:
HiL Demonstration of Online Battery Capacity and Impedance Estimation with Minimal a Priori Parametrization Effort. - Anastasiia Filippova, Angelos Katharopoulos, David Grangier, Ronan Collobert:
No Need to Talk: Asynchronous Mixture of Language Models. - Yulong Huang, Zunchang Liu, Changchun Feng, Xiaopeng Lin, Hongwei Ren, Haotian Fu, Yue Zhou, Hong Xing, Bojun Cheng:
PRF: Parallel Resonate and Fire Neuron for Long Sequence Learning in Spiking Neural Networks. - Han Jiang, Junwen Duan, Zhe Qu, Jianxin Wang:
MARE: Multi-Aspect Rationale Extractor on Unsupervised Rationale Extraction. - Yuanfang Liu, Rua Mae Williams, Guanghong Xie, Yu Wang, Wenrui Zuo:
Promoting the Culture of Qinhuai River Lantern Shadow Puppetry with a Digital Archive and Immersive Experience. - Yu Song, Liyuan Han, Bo Xu, Tielin Zhang:
Multiscale fusion enhanced spiking neural network for invasive BCI neural signal decoding. - João Bravo:
NRGBoost: Energy-Based Generative Boosted Trees. - Jing Shu, Bing-Jiun Miu, Eugene Chang, Jerry Gao, Jun Liu:
Computer Vision Intelligence Test Modeling and Generation: A Case Study on Smart OCR. - Nikola Jovanovic, Robin Staab, Maximilian Baader, Martin T. Vechev:
Ward: Provable RAG Dataset Inference via LLM Watermarks. - Chengzhi Lin, Hezheng Lin, Shuchang Liu, Cangguang Ruan, Lingjing Xu, Dezhao Yang, Chuyuan Wang, Yongqi Liu:
Dreaming User Multimodal Representation Guided by The Platonic Representation Hypothesis for Micro-Video Recommendation. - Aiqi Jiang, Nikolas Vitsakis, Tanvi Dinkar, Gavin Abercrombie, Ioannis Konstas:
Re-examining Sexism and Misogyny Classification with Annotator Attitudes. - Cesare Donati, Martina Mammarella, Fabrizio Dabbene, Carlo Novara, Constantino Lagoa:
First-order methods and automatic differentiation: A multi-step systems identification perspective. - Yida Mu, Mali Jin, Xingyi Song, Nikolaos Aletras:
Enhancing Data Quality through Simple De-duplication: Navigating Responsible Computational Social Science Research. - Syed Mhamudul Hasan:
Multidimensional Human Activity Recognition With Large Language Model: A Conceptual Framework. - Robin Burchard, Kristof Van Laerhoven:
Multi-modal Atmospheric Sensing to Augment Wearable IMU-Based Hand Washing Detection. - Varvara Guljajeva, Mar Canet Sola, Martin Melioranski, Lauri Kilusk, Kaiko Kivi:
Loading Ceramics: Visualising Possibilities of Robotics in Ceramics. - David A. Noever, Samantha E. Miller Noever:
Constructive Apraxia: An Unexpected Limit of Instructible Vision-Language Models and Analog for Human Cognitive Disorders. - Wei Wu, Chao Wang, Liyi Chen, Mingze Yin, Yiheng Zhu, Kun Fu, Jieping Ye, Hui Xiong, Zheng Wang:
Structure-Enhanced Protein Instruction Tuning: Towards General-Purpose Protein Understanding. - Lei Feng, Jingxing Liao, Jingna Yang:
Artificial intelligence inspired freeform optics design: a review. - Aaron Young, Nevindu Batagoda, Harry Zhang, Akshat Dave, Adithya Pediredla, Dan Negrut, Ramesh Raskar:
Enhancing Autonomous Navigation by Imaging Hidden Objects using Single-Photon LiDAR. - Baldomero R. Árbol, Dan Casas:
BodyShapeGPT: SMPL Body Shape Manipulation with LLMs. - Benyuan Meng, Qianqian Xu, Zitai Wang, Xiaochun Cao, Qingming Huang:
Not All Diffusion Model Activations Have Been Evaluated as Discriminative Features. - Luís Cruz-Filipe, Jonas Vistrup:
færdXel: An Expert System for Danish Traffic Law. - Filippo Bonchi, Alessandro Di Giorgio, Elena Di Lavore:
A Diagrammatic Algebra for Program Logics. - Max Weltevrede, Caroline Horsch, Matthijs T. J. Spaan, Wendelin Böhmer:
Training on more Reachable Tasks for Generalisation in Reinforcement Learning. - Sahil Girhepuje, Aviral Verma, Gaurav Raina:
A Survey on Offensive AI Within Cybersecurity. - Abrar Rahman, Garry Bowlin, Binit Mohanty, Sean McGunigal:
Towards Linguistically-Aware and Language-Independent Tokenization for Large Language Models (LLMs). - Eshika Saxena, Alberto Alfarano, Emily Wenger, Kristin E. Lauter:
Teaching Transformers Modular Arithmetic at Scale. - Anuschka Schmitt, Krzysztof Z. Gajos, Osnat Mokryn:
Generative AI in the Software Engineering Domain: Tensions of Occupational Identity and Patterns of Identity Protection. - Madison Cooley, Robert M. Kirby, Shandian Zhe, Varun Shankar:
HyResPINNs: Adaptive Hybrid Residual Networks for Learning Optimal Combinations of Neural and RBF Components for Physics-Informed Modeling. - Awad H. Al-Mohy:
Generalizing the Fréchet Derivative Algorithm for the Matrix Exponential. - Vaishali Pal, Evangelos Kanoulas, Andrew Yates, Maarten de Rijke:
Table Question Answering for Low-resourced Indic Languages. - Xin Zou, Yizhou Wang, Yibo Yan, Sirui Huang, Kening Zheng, Junkai Chen, Chang Tang, Xuming Hu:
Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models. - Javad Haghighat, Tolga M. Duman:
A Practical Concatenated Coding Scheme for Noisy Shuffling Channels with Coset-based Indexing. - Jesper Knapp, Klas Moberg, Yuchuan Jin, Simin Sun, Miroslaw Staron:
A Multi-model Approach for Video Data Retrieval in Autonomous Vehicle Development. - Md Nadim, Taimoor Ul Islam, Salil Reddy, Tianyi Zhang, Zhibo Meng, Reshal Afzal, Sarath Babu, Arsalan Ahmad, Daji Qiao, Anish Arora, Hongwei Zhang:
AraSync: Precision Time Synchronization in Rural Wireless Living Lab. - Youngwoo Kim, Razieh Rahimi, James Allan:
Discovering Biases in Information Retrieval Models Using Relevance Thesaurus as Global Explanation. - Hassan Sartaj, Shaukat Ali, Julie Marie Gjøby:
MeDeT: Medical Device Digital Twins Creation with Few-shot Meta-learning. - Kelsey Lieberman, Swarna Kamlam Ravindran, Shuai Yuan, Carlo Tomasi:
Training Over a Distribution of Hyperparameters for Enhanced Performance and Adaptability on Imbalanced Classification. - Toon Van de Maele, Ozan Çatal, Alexander Tschantz, Christopher L. Buckley, Tim Verbelen:
Variational Bayes Gaussian Splatting. - Omar Sharif, Joseph Gatto, Madhusudan Basak, Sarah M. Preum:
Explicit, Implicit, and Scattered: Revisiting Event Extraction to Capture Complex Arguments. - Lijie Hu, Liang Liu, Shu Yang, Xin Chen, Zhen Tan, Muhammad Asif Ali, Mengdi Li, Di Wang:
Understanding Reasoning in Chain-of-Thought from the Hopfieldian View. - Jianpeng Chen, Yawen Ling, Yazhou Ren, Zichen Wen, Tianyi Wu, Shufei Zhang, Lifang He:
SiMilarity-Enhanced Homophily for Multi-View Heterophilous Graph Clustering. - Xuandong Zhao, Chenwen Liao, Yu-Xiang Wang, Lei Li:
Efficiently Identifying Watermarked Segments in Mixed-Source Texts. - Yinuo Ren, Haoxuan Chen, Grant M. Rotskoff, Lexing Ying:
How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework. - Noriaki Hirose, Catherine Glossop, Ajay Sridhar, Dhruv Shah, Oier Mees, Sergey Levine:
LeLaN: Learning A Language-Conditioned Navigation Policy from In-the-Wild Videos. - Dean Wang:
Stabilizing the Consistent Quasidiffusion Method with Linear Prolongation. - Jonathan Cook, Tim Rocktäschel, Jakob N. Foerster, Dennis Aumiller, Alex Wang:
TICKing All the Boxes: Generated Checklists Improve LLM Evaluation and Generation. - Tomohiro Koana, Nidhi Purohit, Kirill Simonov:
Subexponential Algorithms for Clique Cover on Unit Disk and Unit Ball Graphs. - S. E. Pyatovsky, N. S. Efimova, E. V. Surkova:
Management of high-tech companies in conditions of import substitution. - Jie Xiao, Qianyi Huang, Xu Chen, Chen Tian:
Large Language Model Performance Benchmarking on Mobile Platforms: A Thorough Evaluation. - Prateek Yadav, Tu Vu, Jonathan Lai, Alexandra Chronopoulou, Manaal Faruqui, Mohit Bansal, Tsendsuren Munkhdalai:
What Matters for Model Merging at Scale? - Jiajian Li, Qi Wang, Yunbo Wang, Xin Jin, Yang Li, Wenjun Zeng, Xiaokang Yang:
Open-World Reinforcement Learning over Long Short-Term Imagination. - Vinaytosh Mishra, Kishu Gupta, Deepika Saxena, Ashutosh Kumar Singh:
A Global Medical Data Security and Privacy Preserving Standards Identification Framework for Electronic Healthcare Consumers. - Beatrice Crippa, Anna Scotti, Andrea Villa:
A mixed-dimensional model for the electrostatic problem on coupled domains. - Udita Ghosh, Dripta S. Raychaudhuri, Jiachen Li, Konstantinos Karydis, Amit K. Roy-Chowdhury:
Robust Offline Imitation Learning from Diverse Auxiliary Data. - Jiping Luo, Nikolaos Pappas:
On the Cost of Consecutive Estimation Error: Significance-Aware Non-linear Aging. - Chumeng Liang, Jiaxuan You:
Real-World Benchmarks Make Membership Inference Attacks Fail on Diffusion Models. - Shujin Wu, May Fung, Cheng Qian, Jeonghwan Kim, Dilek Hakkani-Tur, Heng Ji:
Aligning LLMs with Individual Preferences via Interaction. - Chao Chen, Xi Yang, Fei-Yan Zhang:
Sine-transform-based fast solvers for Riesz fractional nonlinear Schrödinger equations with attractive nonlinearities. - Xianlong Wang, Minghui Li, Wei Liu, Hangtao Zhang, Shengshan Hu, Yechao Zhang, Ziqi Zhou, Hai Jin:
Unlearnable 3D Point Clouds: Class-wise Transformation Is All You Need. - Pu Hua, Minghuan Liu, Annabella Macaluso, Yunfeng Lin, Weinan Zhang, Huazhe Xu, Lirui Wang:
GenSim2: Scaling Robot Data Generation with Multi-modal and Reasoning LLMs. - Mark Kuhne, Stavros Volos, Shweta Shinde:
Dorami: Privilege Separating Security Monitor on RISC-V TEEs. - Ilija Radosavovic, Sarthak Kamat, Trevor Darrell, Jitendra Malik:
Learning Humanoid Locomotion over Challenging Terrain. - Zian Li, Cai Zhou, Xiyuan Wang, Xingang Peng, Muhan Zhang:
Geometric Representation Condition Improves Equivariant Molecule Generation. - James Wang, Ran Li, Junfeng Yang, Chengzhi Mao:
RAFT: Realistic Attacks to Fool Text Detectors. - Tinghui Zhu, Qin Liu, Fei Wang, Zhengzhong Tu, Muhao Chen:
Unraveling Cross-Modality Knowledge Conflicts in Large Vision-Language Models. - Scott C. Lowe:
System 2 Reasoning Capabilities Are Nigh. - Zhuochun Li, Yuelyu Ji, Rui Meng, Daqing He:
Learning from Committee: Reasoning Distillation from a Mixture of Teachers with Peer-Review. - Brent Yi, Vickie Ye, Maya Zheng, Lea Müller, Georgios Pavlakos, Yi Ma, Jitendra Malik, Angjoo Kanazawa:
Estimating Body and Hand Motion in an Ego-sensed World. - Philippe Krajsic, Viola Suess, Zehong Cao, Ryszard Kowalczyk, Bogdan Franczyk:
Trends, Advancements and Challenges in Intelligent Optimization in Satellite Communication. - Xiangyu Zhu, Zhiqin Chen, Ruizhen Hu, Xiaoguang Han:
Controllable Shape Modeling with Neural Generalized Cylinder. - Cynthia C. S. Liem, Doga Tascilar, Andrew M. Demetriou:
A quest through interconnected datasets: lessons from highly-cited ICASSP papers. - Abel C. H. Chen:
Post-Quantum Cryptography Anonymous Scheme - PQCWC: Post-Quantum Cryptography Winternitz-Chen. - Hemin Sardar Abdulla, Azad A. Ameen, Sarwar Ibrahim Saeed, Ismail Asaad Mohammed, Tarik A. Rashid:
MRSO: Balancing Exploration and Exploitation through Modified Rat Swarm Optimization for Global Optimization. - Meenakshi Subhash Chippa, Prakash Chandra Chhipa, Kanjar De, Marcus Liwicki, Rajkumar Saini:
LCM: Log Conformal Maps for Robust Representation Learning to Mitigate Perspective Distortion. - Zhuoran Xiao, Chenhui Ye, Yunbo Hu, Honggang Yuan, Yihang Huang, Yijia Feng, Liyu Cai, Jiang Chang:
LLM Agents as 6G Orchestrator: A Paradigm for Task-Oriented Physical-Layer Automation. - Louis B. Rosenberg, Hans Schumann, Christopher Dishop, Gregg Willcox, Anita Woolley, Ganesh Mani:
Conversational Swarms of Humans and AI Agents enable Hybrid Collaborative Decision-making. - Itamar Cohen, Gil Einziger:
Floating-floating point: a highly accurate number representation with flexible Counting ranges. - Leyang Zhang:
Linear Independence of Generalized Neurons and Related Functions. - Matheus Viana Braz, Paola Tubaro, Antonio A. Casilli:
Making Data: The Work Behind Artificial Intelligence. - Gyanendra Shrestha, Soumya Tejaswi Vadlamani:
Improving the Accessibility of Dating Websites for Individuals with Visual Impairments. - Laura Gutiérrez-Martín, Celia López-Ongil, José Manuel Lanza-Gutiérrez, Jose Angel Miranda Calero:
Improving Emotion Recognition Accuracy with Personalized Clustering. - Kaushal Paneri, Michael Munje, Kailash Singh Maurya, Adith Swaminathan, Yifan Shi:
Combining Open-box Simulation and Importance Sampling for Tuning Large-Scale Recommenders. - Harsh Kumar, Jonathan Vincentius, Ewan Jordan, Ashton Anderson:
Human Creativity in the Age of LLMs: Randomized Experiments on Divergent and Convergent Thinking. - Ben Weidmann, Yixian Xu:
PAGE: A Modern Measure of Emotion Perception for Teamwork and Management Research. - A. Yarkin Yildiz, Asli Kalayci:
Gradient Boosting Decision Trees on Medical Diagnosis over Tabular Data. - David Krame Kadurha:
Topological Foundations of Reinforcement Learning. - Qin Xie:
Open AI-Romance with ChatGPT, Ready for Your Cyborg Lover? - Sarah Alsufyani, Matthew Forshaw, Sara Johansson Fernstad:
Visualization of missing data: a state-of-the-art survey. - Grace Leonora Turtle, Roy Bendor, Elisa Giaccardi, Blazej Kotowski:
Queering AI: Undoing the Self in the Algorithmic Borderlands. - Rubens Montanha, Giovana Raupp, Ana Carolina Policarpo Schmitt, Gabriel Schneider, Victor Araujo, Soraia Raupp Musse:
Perceptual Analysis of Groups of Virtual Humans Animated using Interactive Platforms. - Mohit Raghavendra, Vaskar Nath, Sean Hendryx:
Revisiting the Superficial Alignment Hypothesis. - Sagar Tamang, Dibya Jyoti Bora:
Performance Evaluation of Tokenizers in Large Language Models for the Assamese Language. - Rui Liu, Jiatian Xi, Ziyue Jiang, Haizhou Li:
FluentEditor+: Text-based Speech Editing by Modeling Local Hierarchical Acoustic Smoothness and Global Prosody Consistency. - Andrew Katz, Gabriella Coloyan Fleming, Joyce B. Main:
Thematic Analysis with Open-Source Generative AI and Machine Learning: A New Method for Inductive Qualitative Codebook Development. - Tiffany Zhu, Iain Weissburg, Kexun Zhang, William Yang Wang:
Human Bias in the Face of AI: The Role of Human Judgement in AI Generated Text Evaluation. - Zhen Wang, Ruiqi Song, Chen Shen, Shiya Yin, Zhao Song, Balaraju Battu, Lei Shi, Danyang Jia, Talal Rahwan, Shuyue Hu:
Large Language Models Overcome the Machine Penalty When Acting Fairly but Not When Acting Selfishly or Altruistically. - Arash Pakbin, Aaron Su, Donald K. K. Lee, Bobak J. Mortazavi:
Realtime, multimodal invasive ventilation risk monitoring using language models and BoXHED. - Deepa Tilwani, Revathy Venkataramanan, Amit P. Sheth:
Neurosymbolic AI approach to Attribution in Large Language Models. - Yifei Ming, Senthil Purushwalkam, Shrey Pandit, Zixuan Ke, Xuan-Phi Nguyen, Caiming Xiong, Shafiq Joty:
FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows". - Barak Gahtan, Robert J. Sahala, Alex M. Bronstein, Reuven Cohen:
Exploring QUIC Dynamics: A Large-Scale Dataset for Encrypted Traffic Analysis. - Sebastien Origer, Dario Izzo, Giacomo Acciarini, Francesco Biscani, Rita Mastroianni, Max Bannach, Harry Holt:
Certifying Guidance & Control Networks: Uncertainty Propagation to an Event Manifold. - Mehdi Ali, Michael Fromm, Klaudia Thellmann, Jan Ebert, Alexander Arno Weber, Richard Rutmann, Charvi Jain, Max Lübbering, Daniel Steinigen, Johannes Leveling, Katrin Klug, Jasper Schulze Buschhoff, Lena Jurkschat, Hammam Abdelwahab, Benny Jörg Stein, Karl-Heinz Sylla, Pavel Denisov, Nicolo' Brandizzi, Qasid Saleem, Anirban Bhowmick, Lennard Helmer, Chelsea Maria John, Pedro Ortiz Suarez, Malte Ostendorff, Alex Jude, Lalith Manjunath, Samuel Weinbach, Carolin Penke, Oleg Filatov, Shima Asaadi, Fabio Barth, Rafet Sifa, Fabian Küch, Andreas Herten, René Jäkel, Georg Rehm, Stefan Kesselheim, Joachim Köhler, Nicolas Flores-Herr:
Teuken-7B-Base & Teuken-7B-Instruct: Towards European LLMs. - Sumuk Shashidhar, Abhinav Chinta, Vaibhav Sahai, Dilek Hakkani-Tür:
Unsupervised Human Preference Learning. - Nooruddin Noonari, Daniel Corujo, Rui L. Aguiar, Francisco J. Ferrao:
Multi-Scale Convolutional LSTM with Transfer Learning for Anomaly Detection in Cellular Networks. - Kristen K. Yu, Matthew Guzdial, Nathan R. Sturtevant:
Evaluating the Effects of AI Directors for Quest Selection. - Tuan Nam Nguyen, Ngoc-Quan Pham, Alexander Waibel:
Accent conversion using discrete units with parallel data synthesized from controllable accented TTS. - David Grangier, Simin Fan, Skyler Seto, Pierre Ablin:
Task-Adaptive Pretrained Language Models via Clustered-Importance Sampling. - Evgeny Saveliev, Tim Schubert, Thomas Pouplin, Vasilis Kosmoliaptsis, Mihaela van der Schaar:
CliMB: An AI-enabled Partner for Clinical Predictive Modeling. - Fatemeh Lotfi, Fatemeh Afghah:
Meta Reinforcement Learning Approach for Adaptive Resource Optimization in O-RAN. - Fillipe dos Santos Silva, Gabriel Kenzo Kakimoto, Júlio Cesar dos Reis, Marcelo S. Reis:
ERASMO: Leveraging Large Language Models for Enhanced Clustering Segmentation. - Yu Zhao, Hao Fei, Shengqiong Wu, Meishan Zhang, Min Zhang, Tat-Seng Chua:
Grammar Induction from Visual, Speech and Text. - Aidan Gilson, Xuguang Ai, Qianqian Xie, Sahana Srinivasan, Krithi Pushpanathan, Maxwell B. Singer, Jimin Huang, Hyunjae Kim, Erping Long, Peixing Wan, Luciano V. Del Priore, Lucila Ohno-Machado, Hua Xu, Dianbo Liu, Ron A. Adelman, Yih-Chung Tham, Qingyu Chen:
Language Enhanced Model for Eye (LEME): An Open-Source Ophthalmology-Specific Large Language Model. - Jack W. O'Sullivan, Anil Palepu, Khaled Saab, Wei-Hung Weng, Yong Cheng, Emily Chu, Yaanik Desai, Aly Elezaby, Daniel Seung Kim, Roy Lan, Wilson Tang, Natalie Tapaskar, Victoria Parikh, Sneha S. Jain, Kavita Kulkarni, Philip Mansfield, Dale R. Webster, Juraj Gottweis, Joelle Barral, Mike Schaekermann, Ryutaro Tanno, S. Sara Mahdavi, Vivek Natarajan, Alan Karthikesalingam, Euan Ashley, Tao Tu:
Towards Democratization of Subspeciality Medical Expertise. - Ziyi Ye, Xiangsheng Li, Qiuchi Li, Qingyao Ai, Yujia Zhou, Wei Shen, Dong Yan, Yiqun Liu:
Beyond Scalar Reward Model: Learning Generative Judge from Preference Data. - Yiming Ju, Ziyi Ni, Xingrun Xing, Zhixiong Zeng, Hanyu Zhao, Siqi Fan, Zheng Zhang:
Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter Merging. - Ganesh Ananthanarayanan, Xenofon Foukas, Bozidar Radunovic, Yongguang Zhang:
Distributed AI Platform for the 6G RAN. - Ahmed Hussein, Alaa Elsetohy, Sama Hadhoud, Tameem Bakr, Yasser Rohaim, Badr AlKhamissi:
Khattat: Enhancing Readability and Concept Representation of Semantic Typography. - Kevin Lian, Larry S. Liebovitch, Melissa Wild, Harry West, Peter T. Coleman, Francine Chen, Everlyne Kimani, Katharine Sieck:
Machine Learning Classification of Peaceful Countries: A Comparative Analysis and Dataset Optimization. - Juan Pablo Muñoz, Jinjie Yuan, Nilesh Jain:
SQFT: Low-cost Model Adaptation in Low-precision Sparse Foundation Models. - Wenqian Cui, Dianzhi Yu, Xiaoqi Jiao, Ziqiao Meng, Guangyan Zhang, Qichao Wang, Yiwen Guo, Irwin King:
Recent Advances in Speech Language Models: A Survey. - Junteng Jia, Gil Keren, Wei Zhou, Egor Lakomkin, Xiaohui Zhang, Chunyang Wu, Frank Seide, Jay Mahadeokar, Ozlem Kalinli:
Efficient Streaming LLM for Speech Recognition. - Keyush Shah, Abhishek Goyal, Isaac Wasserman:
Enhancing Retrieval in QA Systems with Derived Feature Association. - Dengsheng Chen, Jie Hu, Xiaoming Wei, Enhua Wu:
Denoising with a Joint-Embedding Predictive Architecture. - Judah Goldfeder, John Sipple:
Real-World Data and Calibrated Simulation Suite for Offline Training of Reinforcement Learning Agents to Optimize Energy and Emission in Buildings for Environmental Sustainability. - Minhajur Rahman, Yasir Arafat:
Towards a Deeper Understanding of Transformer for Residential Non-intrusive Load Monitoring. - Qiang Zou, Yincai Wu, Zhenyu Liu, Weiwei Xu, Shuming Gao:
Intelligent CAD 2.0. - Yuntong Hu, Zhuofeng Li, Zheng Zhang, Chen Ling, Raasikh Kanjiani, Boxin Zhao, Liang Zhao:
HiReview: Hierarchical Taxonomy-Driven Automatic Literature Review Generation. - Quinten Steenhuis, Hannes Westermann:
Getting in the Door: Streamlining Intake in Civil Legal Services with Large Language Models. - Tushar Prasad, Larry S. Liebovitch, Melissa Wild, Harry West, Peter T. Coleman:
Words that Represent Peace. - Jingcun Wang, Yu-Guang Chen, Ing-Chao Lin, Bing Li, Grace Li Zhang:
Basis Sharing: Cross-Layer Parameter Sharing for Large Language Model Compression. - Naman Agarwal, Xinyi Chen, Evan Dogariu, Vladimir Feinberg, Daniel Suo, Peter L. Bartlett, Elad Hazan:
FutureFill: Fast Generation from Convolutional Sequence Models. - Alihan Hüyük, Xinnuo Xu, Jacqueline Maasch, Aditya V. Nori, Javier González:
Reasoning Elicitation in Language Models via Counterfactual Feedback. - Yohan Mathew, Ollie Matthews, Robert McCarthy, Joan Velja, Christian Schroeder de Witt, Dylan Cope, Nandi Schoots:
Hidden in Plain Text: Emergence & Mitigation of Steganographic Collusion in LLMs. - Tianhao Li, Jingyu Lu, Chuangxin Chu, Tianyu Zeng, Yujia Zheng, Mei Li, Haotian Huang, Bin Wu, Zuoxian Liu, Kai Ma, Xuejing Yuan, Xingkai Wang, Keyan Ding, Huajun Chen, Qiang Zhang:
SciSafeEval: A Comprehensive Benchmark for Safety Alignment of Large Language Models in Scientific Tasks. - Xueshen Li, Xinlong Hou, Nirupama Ravi, Ziyi Huang, Yu Gan:
A Two-Stage Proactive Dialogue Generator for Efficient Clinical Information Collection Using Large Language Model. - Melody Yu:
SeeSay: An Assistive Device for the Visually Impaired Using Retrieval Augmented Generation. - Xuying Li, Zhuo Li, Yuji Kosuga, Yasuhiro Yoshida, Victor Bian:
Precision Knowledge Editing: Enhancing Safety in Large Language Models. - Tim Puphal, Benedict Flade, Matti Krüger, Ryohei Hirano, Akihito Kimata:
Human-Based Risk Model for Improved Driver Support in Interactive Driving Scenarios. - Aparna Elangovan, Jongwoo Ko, Lei Xu, Mahsa Elyasi, Ling Liu, Sravan Bodapati, Dan Roth:
Beyond correlation: The impact of human uncertainty in measuring the effectiveness of automatic evaluation and LLM-as-a-judge. - Bálint Csanády, Lóránt Nagy, Dániel Boros, Iván Ivkovic, Dávid Kovács, Dalma Tóth-Lakits, Zsolt László Márkus, András Lukács:
Parameter Estimation of Long Memory Stochastic Processes with Deep Neural Networks. - Yuxuan Yao, Han Wu, Mingyang Liu, Sichun Luo, Xiongwei Han, Jie Liu, Zhijiang Guo, Linqi Song:
Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling. - Ruiyuan Zhang, Yuyao Chen, Yuchi Huo, Jiaxiang Liu, Dianbing Xi, Jie Liu, Chao Wu:
SGW-based Multi-Task Learning in Vision Tasks. - Huayu Deng, Xiangming Zhu, Yunbo Wang, Xiaokang Yang:
Discovering Message Passing Hierarchies for Mesh-Based Physics Simulation. - Thang Nguyen, Peter Chin, Yu-Wing Tai:
Reward-RAG: Enhancing RAG with Reward Driven Supervision. - Romain Puech, Jakub Macina, Julia Chatain, Mrinmaya Sachan, Manu Kapur:
Towards the Pedagogical Steering of Large Language Models for Tutoring: A Case Study with Modeling Productive Failure. - Changdae Oh, Yixuan Li, Kyungwoo Song, Sangdoo Yun, Dongyoon Han:
DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation. - Jaemoo Choi, Yongxin Chen, Jaewoong Choi:
Improving Neural Optimal Transport via Displacement Interpolation. - Ziyao Gao, Yiwen Zhang, Ling Li, Theodoros Papatheodorou, Wei Zeng:
AI-rays: Exploring Bias in the Gaze of AI Through a Multimodal Interactive Installation. - Qisheng Liao, Liang Li, Yulang Fei, Gus Xia:
CalliffusionV2: Personalized Natural Calligraphy Generation with Flexible Multi-modal Control. - Xishun Liao, Yifan Liu, Chenchen Kuai, Haoxuan Ma, Brian Yueshuai He, Shangqing Cao, Chris Stanford, Jiaqi Ma:
Reconstructing Human Mobility Pattern: A Semi-Supervised Approach for Cross-Dataset Transfer Learning. - Muhammad Asif Khan, Ridha Hamila, Hamid Menouar:
Accelerating Deep Learning with Fixed Time Budget. - Sarah Barrington, Hany Farid:
People are poorly equipped to detect AI-powered voice clones. - Nan Huang, Haishuai Wang, Zihuai He, Marinka Zitnik, Xiang Zhang:
Repurposing Foundation Model for Generalizable Medical Time Series Classification. - Keyu Chen, Ziqian Bi, Tianyang Wang, Yizhu Wen, Pohsun Feng, Qian Niu, Junyu Liu, Benji Peng, Sen Zhang, Ming Li, Xuanhe Pan, Jiawei Xu, Jinlang Wang, Caitlyn Heqi Yin, Ming Liu:
Deep Learning and Machine Learning: Advancing Big Data Analytics and Management with Design Patterns. - Ying Liu, Lihong Liu, Cai Xu, Xiangyu Song, Ziyu Guan, Wei Zhao:
Dynamic Evidence Decoupling for Trusted Multi-view Learning. - Jiafeng Li, Yanda Mu:
Searching for Best Practices in Medical Transcription with Large Language Model. - Tengfei Yu, Xuebo Liu, Zhiyi Hou, Liang Ding, Dacheng Tao, Min Zhang:
Self-Powered LLM Modality Expansion for Large Speech-Text Models. - Fabian Muff, Hans-Georg Fill:
M2AR: A Web-based Modeling Environment for the Augmented Reality Workflow Modeling Language. - Xavier Warin:
P1-KAN an effective Kolmogorov Arnold Network for function approximation. - Yanchen Luo, Junfeng Fang, Sihang Li, Zhiyuan Liu, Jiancan Wu, An Zhang, Wenjie Du, Xiang Wang:
Text-guided Diffusion Model for 3D Molecule Generation. - Matthieu Zimmer, Milan Gritta, Gerasimos Lampouras, Haitham Bou-Ammar, Jun Wang:
Mixture of Attentions For Speculative Decoding. - Ignacio Aguilera-Martos, Andrés Herrera-Poyatos, Julián Luengo, Francisco Herrera:
Local Attention Mechanism: Boosting the Transformer Architecture for Long-Sequence Time Series Forecasting. - Jiaxiang Dong, Haixu Wu, Yuxuan Wang, Li Zhang, Jianmin Wang, Mingsheng Long:
Metadata Matters for Time Series: Informative Forecasting with Transformers. - Ruifeng Ren, Zhicong Li, Yong Liu:
Can Mamba Always Enjoy the "Free Lunch"? - Jing Lin, Jingchun Shen:
Enhanced Digital Twin for Human-Centric and Integrated Lighting Asset Management in Public Libraries: From Corrective to Predictive Maintenance. - Shi Chen, Danda Pani Paudel, Luc Van Gool:
EvenNICER-SLAM: Event-based Neural Implicit Encoding SLAM. - Grzegorz Stefanski, Pawel Daniluk, Artur Szumaczuk, Jakub Tkaczuk:
SOI: Scaling Down Computational Complexity by Estimating Partial States of the Model. - Mohammad Mirtaba, Parham Oveissi, Ankit Goel:
Sim-to-Real Multirotor Controller Single-shot Learning. - Shahrokh Hamidi:
Modeling and Analysis of Spatial and Temporal Land Clutter Statistics in SAR Imaging Based on MSTAR Data. - Amanda Thomson, Leandros Maglaras, Naghmeh Moradpoor:
A novel TLS-based Fingerprinting approach that combines feature expansion and similarity mapping. - Ching-Yun Ko, Pin-Yu Chen, Payel Das, Youssef Mroueh, Soham Dan, Georgios Kollias, Subhajit Chaudhury, Tejaswini Pedapati, Luca Daniel:
Large Language Models can be Strong Self-Detoxifiers. - Junyi Zhang, Charles Herrmann, Junhwa Hur, Varun Jampani, Trevor Darrell, Forrester Cole, Deqing Sun, Ming-Hsuan Yang:
MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion. - Chu Fei Luo, Radin Shayanfar, Rohan Bhambhoria, Samuel Dahan, Xiaodan Zhu:
Misinformation with Legal Consequences (MisLC): A New Task Towards Harnessing Societal Harm of Misinformation. - Meng Ding, Jinhui Xu, Kaiyi Ji:
Why Fine-Tuning Struggles with Forgetting in Machine Unlearning? Theoretical Insights and a Remedial Approach. - Tao Feng, Yanzhen Shen, Jiaxuan You:
GraphRouter: A Graph-based Router for LLM Selections. - Jiawei Liu, Thanh Nguyen, Mingyue Shang, Hantian Ding, Xiaopeng Li, Yu Yu, Varun Kumar, Zijian Wang:
Learning Code Preference via Synthetic Evolution. - Akihiko Kato, Masato Mita, Soichiro Murakami, Ukyo Honda, Sho Hoshino, Peinan Zhang:
FaithCAMERA: Construction of a Faithful Dataset for Ad Text Generation. - Fajrian Yunus, Talel Abdessalem:
Explaining the (Not So) Obvious: Simple and Fast Explanation of STAN, a Next Point of Interest Recommendation System. - Ryusuke Sugimoto, Nathan D. King, Toshiya Hachisuka, Christopher Batty:
Projected Walk on Spheres: A Monte Carlo Closest Point Method for Surface PDEs. - Aviral Kaintura, Palaniappan R, Shui Song Luar, Indira Iyer Almeida:
ORAssistant: A Custom RAG-based Conversational Assistant for OpenROAD. - Sifeddine Benahmed, Soulaimane Berkane:
Universal Global State Estimation for Inertial Navigation Systems. - Simon Sinong Zhan, Qingyuan Wu, Philip Wang, Yixuan Wang, Ruochen Jiao, Chao Huang, Qi Zhu:
Model-Based Reward Shaping for Adversarial Inverse Reinforcement Learning in Stochastic Environments. - Ziyang Chen, Stylios Moscholios:
Using Prompts to Guide Large Language Models in Imitating a Real Person's Language Style. - Ziyi Liu, Idan Attias, Daniel M. Roy:
Sequential Probability Assignment with Contexts: Minimax Regret, Contextual Shtarkov Sums, and Contextual Normalized Maximum Likelihood. - Teresa Salazar, Helder Araújo, Alberto Cano, Pedro Henriques Abreu:
A Survey on Group Fairness in Federated Learning: Challenges, Taxonomy of Solutions and Directions for Future Research. - Yufei Tian, Zeyu Pan, Nanyun Peng:
Detecting Machine-Generated Long-Form Content with Latent-Space Variables. - Tianyu Wu, Lingrui Mei, Ruibin Yuan, Lujun Li, Wei Xue, Yike Guo:
You Know What I'm Saying: Jailbreak Attack via Implicit Reference. - Ziyu Wang, Shuangpeng Han, Mike Zheng Shou, Mengmi Zhang:
Unsupervised Prior Learning: Discovering Categorical Pose Priors from Videos. - John Yang, Carlos E. Jimenez, Alex L. Zhang, Kilian Lieret, Joyce Yang, Xindi Wu, Ori Press, Niklas Muennighoff, Gabriel Synnaeve, Karthik R. Narasimhan, Diyi Yang, Sida I. Wang, Ofir Press:
SWE-bench Multimodal: Do AI Systems Generalize to Visual Software Domains? - Leo Bringer, Joey Wilson, Kira Barton, Maani Ghaffari:
MDMP: Multi-modal Diffusion for supervised Motion Predictions with uncertainty. - Laura Fink, Linus Franke, Joachim Keinert, Marc Stamminger:
Refinement of Monocular Depth Maps via Multi-View Differentiable Rendering. - Kaleb D. Ruscitti, Leland McInnes:
Improving Mapper's Robustness by Varying Resolution According to Lens-Space Density. - Prashant Sankaran, Katie McConky:
Rethinking Selection in Generational Genetic Algorithms to Solve Combinatorial Optimization Problems: An Upper Bound-based Parent Selection Strategy for Recombination. - Murong Yue, Wenlin Yao, Haitao Mi, Dian Yu, Ziyu Yao, Dong Yu:
DOTS: Learning to Reason Dynamically in LLMs via Optimal Reasoning Trajectories Search. - Christopher Kelly, Jonatan Fontanez, Tali Sharot:
A Tool to Facilitate Web-Browsing. - Ricardo Di Pasquale, Soledad Represa:
Empowering Domain-Specific Language Models with Graph-Oriented Databases: A Paradigm Shift in Performance and Model Maintenance. - Liwei Jiang, Taylor Sorensen, Sydney Levine, Yejin Choi:
Can Language Models Reason about Individualistic Human Values and Preferences? - Wenxuan Wang, Kuiyi Gao, Zihan Jia, Youliang Yuan, Jen-tse Huang, Qiuzhi Liu, Shuai Wang, Wenxiang Jiao, Zhaopeng Tu:
Chain-of-Jailbreak Attack for Image Generation Models via Editing Step by Step. - Yu Li, Devamanyu Hazarika, Di Jin, Julia Hirschberg, Yang Liu:
From Pixels to Personas: Investigating and Modeling Self-Anthropomorphism in Human-Robot Dialogues. - Michael Ibrahim, Heraldo Rozas, Nagi Gebraeel, Weijun Xie:
A Federated Distributionally Robust Support Vector Machine with Mixture of Wasserstein Balls Ambiguity Set for Distributed Fault Diagnosis. - Yue Zhang, Zhiyang Xu, Ying Shen, Parisa Kordjamshidi, Lifu Huang:
SPARTUN3D: Situated Spatial Understanding of 3D World in Large Language Models. - Liqian Zhang, Magdalena Fuentes:
SONIQUE: Video Background Music Generation Using Unpaired Audio-Visual Data. - Sitong Wang, Xuanming Zhang, Jenny Ma, Alyssa Hwang, Lydia B. Chilton:
JumpStarter: Getting Started on Personal Goals with AI-Powered Context Curation. - Xinwei Zhang, Zhiqi Bu, Borja Balle, Mingyi Hong, Meisam Razaviyayn, Vahab Mirrokni:
DiSK: Differentially Private Optimizer with Simplified Kalman Filter for Noise Reduction. - Mir Tafseer Nayeem, Davood Rafiei:
KidLM: Advancing Language Models for Children - Early Insights and Future Directions. - Brooks A. Butler, Chi Ho Leung, Philip E. Paré:
Collaborative Safety-Critical Formation Control with Obstacle Avoidance. - Fabian Akkerman, Nils Knofius, Matthieu van der Heijden, Martijn Mes:
Solving Dual Sourcing Problems with Supply Mode Dependent Failure Rates. - Kyle Evans-Lee, Kevin Lamb:
Identification of Anomalous Geospatial Trajectories via Persistent Homology. - Brooks A. Butler, Zarif Cabrera, Andy Nguyen, Philip E. Paré:
Safe Reference Tracking and Collision Avoidance for Taxiing Aircraft Using an MPC-CBF Framework. - Yang Li, Junier Oliva:
Towards Cost Sensitive Decision Making. - Yiming Zhang, Athul Paul Jacob, Vivian Lai, Daniel Fried, Daphne Ippolito:
Human-aligned Chess with a Bit of Search. - Mostafa Ali Ayubirad, Hamid R. Ossareh:
A Machine Learning-Based Reference Governor for Nonlinear Systems With Application to Automotive Fuel Cells. - Angie Zhang:
Demystifying Technology for Policymaking: Exploring the Rideshare Context and Data Initiative Opportunities to Advance Tech Policymaking Efforts. - Seth Pate, Lawson L. S. Wong:
The Wallpaper is Ugly: Indoor Localization using Vision and Language. - Ying-Chun Lin, Jennifer Neville:
Improving Node Representation by Boosting Target-Aware Contrastive Loss. - Ksheeraja Raghavan, Samiran Gode, Ankit Shah, Surabhi Raghavan, Wolfram Burgard, Bhiksha Raj, Rita Singh:
Did You Hear That? Introducing AADG: A Framework for Generating Benchmark Data in Audio Anomaly Detection. - Lemei Zhang, Peng Liu, Marcus Tiedemann Oekland Henriksboe, Even W. Lauvrak, Jon Atle Gulla, Heri Ramampiaro:
PersonalSum: A User-Subjective Guided Personalized Summarization Dataset for Large Language Models. - Ying Su, Zhan Ling, Haochen Shi, Jiayang Cheng, Yauwai Yim, Yangqiu Song:
ActPlan-1K: Benchmarking the Procedural Planning Ability of Visual Language Models in Household Activities. - Amey Hengle, Atharva Kulkarni, Shantanu Patankar, Madhumitha Chandrasekaran, Sneha D'Silva, Jemima Jacob, Rashmi Gupta:
Still Not Quite There! Evaluating Large Language Models for Comorbid Mental Health Diagnosis. - Makram Chahine, T. Konstantin Rusch, Zach J. Patterson, Daniela Rus:
Improving Efficiency of Sampling-based Motion Planning via Message-Passing Monte Carlo. - Yang Li, Junier Oliva:
Distribution Guided Active Feature Acquisition. - Riana Gagnon Souleiman, Vivek Shankar Varadharajan, Giovanni Beltrame:
Multi-Objective Risk Assessment Framework for Exploration Planning Using Terrain and Traversability Analysis. - Ruiyu Mao, Sarthak Kumar Maharana, Rishabh K. Iyer, Yunhui Guo:
STONE: A Submodular Optimization Framework for Active 3D Object Detection. - Branislav Kveton, Boris Oreshkin, Youngsuk Park, Aniket Deshmukh, Rui Song:
Online Posterior Sampling with a Diffusion Prior. - Peter Yichen Chen, Chao Liu, Pingchuan Ma, John Eastman, Daniela Rus, Dylan Randle, Yuri Ivanov, Wojciech Matusik:
Learning Object Properties Using Robot Proprioception via Differentiable Robot-Object Interaction. - Subal Chandra Roy, Md. Motaleb Hossen Manik:
Question-Answering System for Bangla: Fine-tuning BERT-Bangla for a Closed Domain. - Maaz Bin Musa, Steven M. Winston, Garrison Allen, Jacob Schiller, Kevin Moore, Sean Quick, Johnathan Melvin, Padmini Srinivasan, Mihailis E. Diamantis, Rishab Nithyanand:
C3PA: An Open Dataset of Expert-Annotated and Regulation-Aware Privacy Policies to Enable Scalable Regulatory Compliance Audits. - Zack While, Henry Wheeler-Klainberg, Tanja Blascheck, Petra Isenberg, Ali Sarvghad:
Toward Understanding the Experiences of People in Late Adulthood with Embedded Information Displays in the Home. - Nishchal Bhandari, Danny Chen, Miguel Ángel del Río Fernández, Natalie Delworth, Jennifer Drexler Fox, Migüel Jetté, Quinten McNamara, Corey Miller, Ondrej Novotný, Ján Profant, Nan Qin, Martin Ratajczak, Jean-Philippe Robichaud:
Reverb: Open-Source ASR and Diarization from Rev. - Edoardo Urettini, Daniele Atzeni, Reshawn J. Ramjattan, Antonio Carta:
GAS-Norm: Score-Driven Adaptive Normalization for Non-Stationary Time Series Forecasting in Deep Learning. - Amirhosein Ghasemabadi, Muhammad Kamran Janjua, Mohammad Salameh, Di Niu:
Learning Truncated Causal History Model for Video Restoration. - Tianyi Wei, Shu Yang, Davoud Ataee Tarzanagh, Jingxuan Bao, Jia Xu, Patryk Orzechowski, Joost B. Wagenaar, Qi Long, Li Shen:
Clustering Alzheimer's Disease Subtypes via Similarity Learning and Graph Diffusion. - Madison Veliky, Garrison L. H. Johnston, Ahmet Yildiz, Nabil Simaan:
A Feasibility Study of a Soft, Low-Cost, 6-Axis Load Cell for Haptics. - Artur Kasymov, Marcin Sendera, Michal Stypulkowski, Maciej Zieba, Przemyslaw Spurek:
AutoLoRA: AutoGuidance Meets Low-Rank Adaptation for Diffusion Models. - T. Konstantin Rusch, Daniela Rus:
Oscillatory State-Space Models. - Jean-Sébastien Giroux, Simon-Philippe Breton, Julie Carreau:
Interpolation-Free Deep Learning for Meteorological Downscaling on Unaligned Grids Across Multiple Domains with Application to Wind Power. - M. Jurkiewicz, K. Prabucka:
Unidirectional Key Update in Updatable Encryption, Revisited. - Mujeen Sung, Song Feng, James Gung, Raphael Shu, Yi Zhang, Saab Mansour:
Structured List-Grounded Question Answering. - Wenquan Dong, Songyan Zhu, Jian Xu, Casey M. Ryan, Man Chen, Jingya Zeng, Hao Yu, Congfeng Cao, Jiancheng Shi:
UFLUX v2.0: A Process-Informed Machine Learning Framework for Efficient and Explainable Modelling of Terrestrial Carbon Uptake. - Elie Attias, Cengiz Pehlevan, Dina Obeid:
A Brain-Inspired Regularizer for Adversarial Robustness. - Selim Furkan Tekin, Fatih Ilhan, Tiansheng Huang, Sihao Hu, Ling Liu:
LLM-TOPLA: Efficient LLM Ensemble by Maximising Diversity. - Amir Eskandari, Aman Anand, Drishti Sharma, Farhana H. Zulkernine:
SDA-GRIN for Adaptive Spatial-Temporal Multivariate Time Series Imputation. - Gang Li, Wendi Yu, Yao Yao, Wei Tong, Yingbin Liang, Qihang Lin, Tianbao Yang:
Model Developmental Safety: A Safety-Centric Method and Applications in Vision-Language Models. - Zineng Tang, Lingjun Mao, Alane Suhr:
Grounding Language in Multi-Perspective Referential Communication. - Aurick Qiao, Zhewei Yao, Samyam Rajbhandari, Yuxiong He:
SwiftKV: Fast Prefill-Optimized Inference with Knowledge-Preserving Model Transformation. - Hengyi Wang, Shiwei Tan, Zhiqing Hong, Desheng Zhang, Hao Wang:
Variational Language Concepts for Interpreting Foundation Language Models. - Sijin Chen, Omar Hagrass, Jason M. Klusowski:
Decoding Game: On Minimax Optimality of Heuristic Text Generation Strategies. - Ethan N. Epperly, Joel A. Tropp, Robert J. Webber:
Embrace rejection: Kernel matrix approximation by accelerated randomly pivoted Cholesky. - Ning Wan, Agnieszka Miedlar:
On the Convergence of CROP-Anderson Acceleration Method. - Unmesh Patil, Akshith Gunasekaran, Rakesh Bobba, Houssam Abbas:
ROS2-Based Simulation Framework for Cyberphysical Security Analysis of UAVs. - Ann Huang, Satpreet H. Singh, Kanaka Rajan:
Measuring and Controlling Solution Degeneracy across Task-Trained Recurrent Neural Networks. - Jianxin Zhang, Josh Viktorov, Doosan Jung, Emily Pitler:
Efficient Training of Neural Stochastic Differential Equations by Matching Finite Dimensional Distributions. - Hongjun Wang, Jiyuan Chen, Zhengwei Yin, Xuan Song, Yinqiang Zheng:
Learning to Balance: Diverse Normalization for Cloth-Changing Person Re-Identification. - Ugochukwu O. Ugwu, Michael Kirby:
Optimizing Sparse Generalized Singular Vectors for Feature Selection in Proximal Support Vector Machines with Application to Breast and Ovarian Cancer Detection. - Nisar Ahmed, Muhammad Imran Zaman:
Improving Arabic Multi-Label Emotion Classification using Stacked Embeddings and Hybrid Loss Function. - Sathvik Joel, Jie JW Wu, Fatemeh H. Fard:
Survey on Code Generation for Low resource and Domain Specific Programming Languages. - Juraj Juraska, Daniel Deutsch, Mara Finkelstein, Markus Freitag:
MetricX-24: The Google Submission to the WMT 2024 Metrics Shared Task. - Kauan Divino Pouso Mariano, Fabrycio Leite Nakano Almada, Maykon Adriell Dutra:
Smart Air Quality Monitoring for Automotive Workshop Environments. - Dingwen Zhang, Liangbo Cheng, Yi Liu, Xinggang Wang, Junwei Han:
Mamba Capsule Routing Towards Part-Whole Relational Camouflaged Object Detection. - Haozhe Huang, Leo Kaixuan Cheng, Kaiwen Chen, Alán Aspuru-Guzik:
Symmetry From Scratch: Group Equivariance as a Supervised Learning Task. - Anupam Trivedi, Dikshit Chauhan:
UDE-III: An Enhanced Unified Differential Evolution Algorithm for Constrained Optimization Problems. - Kojiro Takeyama, Yimeng Liu, Misha Sra:
TR-LLM: Integrating Trajectory Data for Scene-Aware LLM-Based Human Action Prediction. - Abhilasha Sancheti, Haozhe An, Rachel Rudinger:
On the Influence of Gender and Race in Romantic Relationship Prediction from Large Language Models. - Yuan Zhuang, Yi Shen, Zhili Zhang, Yuxiao Chen, Fei Miao:
YOLO-MARL: You Only LLM Once for Multi-agent Reinforcement Learning. - Jonghyun Park, Juyeop Kim, Jong-Seok Lee:
Impact of Regularization on Calibration and Robustness: from the Representation Space Perspective. - Woojin Cho, Kookjin Lee, Noseong Park, Donsub Rim, Gerrit Welper:
FastLRNR and Sparse Physics Informed Backpropagation. - Jing Yang, Anderson Rocha:
Take It Easy: Label-Adaptive Self-Rationalization for Fact Verification and Explanation Generation. - Krishna Chaitanya Kalagarla, Matthew Low, Rahul Jain, Ashutosh Nayyar, Pierluigi Nuzzo:
Compositional Planning for Logically Constrained Multi-Agent Markov Decision Processes. - He Zhang, Nicholas J. Falletta, Jingyi Xie, Rui Yu, Sooyeon Lee, Syed Masum Billah, John M. Carroll:
Enhancing the Travel Experience for People with Visual Impairments through Multimodal Interaction: NaviGPT, A Real-Time AI-Driven Mobile Navigation System. - Lu Yan, Siyuan Cheng, Xuan Chen, Kaiyuan Zhang, Guangyu Shen, Zhuo Zhang, Xiangyu Zhang:
ASPIRER: Bypassing System Prompts With Permutation-based Backdoors in LLMs. - Menglin Yang, Aosong Feng, Bo Xiong, Jihong Liu, Irwin King, Rex Ying:
Hyperbolic Fine-tuning for Large Language Models. - Sendey Agustín Vera González, Luis E. Chuquimarca, Douglas Plaza:
Kalman Filter Applied To A Differential Robot. - François David, Alexey A. Novikov, Ruslan Parkhomenko, Artem Voronin, Alix Melchy:
JAM: A Comprehensive Model for Age Estimation, Verification, and Comparability. - Xiaodong Lu, Leilei Sun, Tongyu Zhu, Weifeng Lv:
Improving Temporal Link Prediction via Temporal Walk Matrix Projection. - Alfonso Gunsha, Luis Chuquimarca, Pedro Pardo, David Herrera:
Development of a Mouse for Individuals Without Upper Limbs Using Arduino Technology. - I. S. Popov:
High order ADER-DG method with local DG predictor for solutions of differential-algebraic systems of equations. - Yixuan Wang, Zhenwu Chen, Kangshuai Zhang, Yunduan Cui, Lei Peng:
Efficient Large-Scale Urban Parking Prediction: Graph Coarsening Based on Real-Time Parking Service Capability. - Kevin Pu, K. J. Kevin Feng, Tovi Grossman, Tom Hope, Bhavana Dalvi Mishra, Matt Latzke, Jonathan Bragg, Joseph Chee Chang, Pao Siangliulue:
IdeaSynth: Iterative Research Idea Development Through Evolving and Composing Idea Facets with Literature-Grounded Feedback. - Houquan Zhou, Zhenghua Li, Bo Zhang, Chen Li, Shaopeng Lai, Ji Zhang, Fei Huang, Min Zhang:
A Simple yet Effective Training-free Prompt-free Approach to Chinese Spelling Correction Based on Large Language Models. - Alan Baade, Puyuan Peng, David Harwath:
SyllableLM: Learning Coarse Semantic Units for Speech Language Models. - Weihuang Liu, Xi Shen, Chi-Man Pun, Xiaodong Cun:
ForgeryTTT: Zero-Shot Image Manipulation Localization with Test-Time Training. - Licheng Dai, Xiliang Lu, Juntao You:
GraHTP: A Provable Newton-like Algorithm for Sparse Phase Retrieval. - Yuzhe You, Jian Zhao:
Gamifying XAI: Enhancing AI Explainability for Non-technical Users through LLM-Powered Narrative Gamifications. - Shashank Yadav, Rohan Tomar, Garvit Jain, Chirag Ahooja, Shubham Chaudhary, Charles Elkan:
Gamified crowd-sourcing of high-quality data for visual fine-tuning. - Jiahao Yu, Xian Wu, Hao Liu, Wenbo Guo, Xinyu Xing:
BlockFound: Customized blockchain foundation model for anomaly detection. - Houcheng Jiang, Junfeng Fang, Tianyu Zhang, An Zhang, Ruipeng Wang, Tao Liang, Xiang Wang:
Neuron-Level Sequential Editing for Large Language Models. - Kauan Divino Pouso Mariano, Fernanda de Castro Fernandes, Luan Gabriel Silva Oliveira, Lyan Eduardo Sakuno Rodrigues, Matheus Andrade Brandão:
Lane Detection System for Driver Assistance in Vehicles. - Wen Ye, Yizhou Zhang, Wei Yang, Lumingyuan Tang, Defu Cao, Jie Cai, Yan Liu:
Beyond Forecasting: Compositional Time Series Reasoning for End-to-End Task Execution. - Ashish Saxena, Tanvir Kaur, Kaushik Mondal:
Dispersion on Time-Varying Graphs. - Aref Tabatabaei, Zahra Dehghanian, Maryam Amirmazlaghani:
Beyond Imperfections: A Conditional Inpainting Approach for End-to-End Artifact Removal in VTON and Pose Transfer. - Pedro Cisneros-Velarde:
Large Language Models can Achieve Social Balance. - Jiayi He, Hehai Lin, Qingyun Wang, Yi Fung, Heng Ji:
Self-Correction is More than Refinement: A Learning Framework for Visual and Language Reasoning Tasks. - Yueyang Cang, Pingge Hu, Xiaoteng Zhang, Xingtong Wang, Yuhang Liu:
RetCompletion:High-Speed Inference Image Completion with Retentive Network. - Ignacio Hounie, Charilaos I. Kanatsoulis, Arnuv Tandon, Alejandro Ribeiro:
LoRTA: Low Rank Tensor Adaptation of Large Language Models. - Xinjian Zhao, Wei Pang, Xiangru Jian, Yaoyao Xu, Chaolong Ying, Tianshu Yu:
Enhancing Graph Self-Supervised Learning with Graph Interplay. - Jae-Dong Kim, Dabin Kim, Minseok Ko, Jong-Moon Chung:
Unique ID based Trust Scheme for Improved IoV Wireless Sensor Network Security Against Power Controlled Sybil Attacks. - Fatemeh Pesaran Zadeh, Juyeon Kim, Jin-Hwa Kim, Gunhee Kim:
Text2Chart31: Instruction Tuning for Chart Generation with Automatic Feedback. - Phisit Pornpongtechavanich, Therdpong Daengsi:
Exploring 5G Network Performance: Comparison of Inner and Outer City Areas in Phetchaburi Province. - Cheng Jiayang, Chunkit Chan, Qianqian Zhuang, Lin Qiu, Tianhang Zhang, Tengxiao Liu, Yangqiu Song, Yue Zhang, Pengfei Liu, Zheng Zhang:
ECon: On the Detection and Resolution of Evidence Conflicts. - Ruizhe Chen, Xiaotian Zhang, Meng Luo, Wenhao Chai, Zuozhu Liu:
PAD: Personalized Alignment at Decoding-Time. - Shanthanu S. Rai:
Pseudo-Deterministic Construction of Irreducible Polynomials over Finite Fields. - Yiqi Liang, Ying Liu, Dandan Long, Ruihui Li:
Multi-Round Region-Based Optimization for Scene Sketching. - Yiran Wang, Masao Utiyama:
On Eliciting Syntax from Language Models via Hashing. - Libo Zhao, Jing Li, Ziqian Zeng:
PsFuture: A Pseudo-Future-based Zero-Shot Adaptive Policy for Simultaneous Machine Translation. - Hyoungwook Jin, Minju Yoo, Jeongeon Park, Yokyung Lee, Xu Wang, Juho Kim:
TeachTune: Reviewing Pedagogical Agents Against Diverse Student Profiles with Simulated Students. - Ruiyuan Huang, Zengfeng Huang:
High Probability Bound for Cross-Learning Contextual Bandits with Unknown Context Distributions. - Long Zhao, Sanghyun Woo, Ziyu Wan, Yandong Li, Han Zhang, Boqing Gong, Hartwig Adam, Xuhui Jia, Ting Liu:
ε-VAE: Denoising as Visual Decoding. - Pankhi Kashyap, Pavni Tandon, Sunny Gupta, Abhishek Tiwari, Ritwik Kulkarni, Kshitij Sharad Jadhav:
Taming the Tail: Leveraging Asymmetric Loss and Pade Approximation to Overcome Medical Image Long-Tailed Class Imbalance. - Yangfan Ye, Xiachong Feng, Xiaocheng Feng, Weitao Ma, Libo Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin:
GlobeSumm: A Challenging Benchmark Towards Unifying Multi-lingual, Cross-lingual and Multi-document News Summarization. - Ashish Kumar, Jaesik Park:
Cross Resolution Encoding-Decoding For Detection Transformers. - Ashish Kumar, Jaesik Park:
Designing Concise ConvNets with Columnar Stages. - Ashish Kumar, Jaesik Park, Laxmidhar Behera:
High-Speed Stereo Visual SLAM for Low-Powered Computing Devices. - Allahdadi Fatemeh, Mahdian Toroghi Rahil, Zareian Hassan:
Cross-Lingual Query-by-Example Spoken Term Detection: A Transformer-Based Approach. - Maria-Eleni Zoumpoulidi, Georgios Paraskevopoulos, Alexandros Potamianos:
BloomWise: Enhancing Problem-Solving capabilities of Large Language Models using Bloom's-Taxonomy-Inspired Prompts. - Tianchi Yu, Jingwei Qiu, Jiang Yang, Ivan Oseledets:
Sinc Kolmogorov-Arnold Network and Its Applications on Physics-informed Neural Networks. - Stefano Giacomelli, Marco Giordano, Claudia Rinaldi:
The OCON model: an old but green solution for distributable supervised classification for acoustic monitoring in smart cities. - Zhihao Wang, Shiyu Liu, Jianheng Huang, Zheng Wang, Yixuan Liao, Xiaoxin Chen, Junfeng Yao, Jinsong Su:
A Learning Rate Path Switching Training Paradigm for Version Updates of Large Language Models. - Xingwei He, Qianru Zhang, A-Long Jin, Yuan Yuan, Siu-Ming Yiu:
TUBench: Benchmarking Large Vision-Language Models on Trustworthiness with Unanswerable Questions. - Anas Barakat, Souradip Chakraborty, Peihong Yu, Pratap Tokekar, Amrit Singh Bedi:
On the Sample Complexity of a Policy Gradient Algorithm with Occupancy Approximation for General Utility Reinforcement Learning. - Suhyeon Lee:
180 Days After EIP-4844: Will Blob Sharing Solve Dilemma for Small Rollups? - Chengfeng Dou, Ying Zhang, Zhi Jin, Wenpin Jiao, Haiyan Zhao, Yongqiang Zhao, Zhengwei Tao:
Exploring LLM-based Data Annotation Strategies for Medical Dialogue Preference Alignment. - Amirmahdi Jafari:
Transport-Embedded Neural Architecture: Redefining the Landscape of physics aware neural models in fluid mechanics. - Tomoyuki Yamakami:
Logical Expressibility of Syntactic NL for Complementarity, Monotonicity, and Maximization. - Swadesh Swain, Shree Singhi:
Riemann Sum Optimization for Accurate Integrated Gradients Computation. - Charles Jones, Fabio De Sousa Ribeiro, Mélanie Roschewitz, Daniel C. Castro, Ben Glocker:
Rethinking Fair Representation Learning for Performance-Sensitive Tasks. - Martin Frohn, Steven Kelk, Simona Vychytilova:
A branch-&-price approach to the unrooted maximum agreement forest problem. - Aditya K. Rao, Twinkle Tripathy:
Trajectory elongation strategies with minimum curvature discontinuities for a Dubins vehicle. - Jun Li, Aaron Aguirre, Junior Moura, Che Liu, Lanhai Zhong, Chenxi Sun, Gari Clifford, M. Brandon Westover, Shenda Hong:
An Electrocardiogram Foundation Model Built on over 10 Million Recordings with External Evaluation across Multiple Domains. - Eunseong Choi, Sunkyung Lee, Minjin Choi, June Park, Jongwuk Lee:
From Reading to Compressing: Exploring the Multi-document Reader for Prompt Compression. - Yong Guo, Shulian Zhang, Haolin Pan, Jing Liu, Yulun Zhang, Jian Chen:
Gap Preserving Distillation by Building Bidirectional Mappings with A Dynamic Teacher. - Vikram S. Chundawat, Pushkar Niroula, Prasanna Dhungana, Stefan Schoepf, Murari Mandal, Alexandra Brintrup:
ConDa: Fast Federated Unlearning with Contribution Dampening. - Àlex R. Atrio, Alexis Allemann, Ljiljana Dolamic, Andrei Popescu-Belis:
Can the Variation of Model Weights be used as a Criterion for Self-Paced Multilingual NMT? - Marco Valentino, André Freitas:
Reasoning with Natural Language Explanations. - Pawel Weichbroth, Jakub Buczkowski:
Mov-Avg: Codeless time series analysis using moving averages. - Sicong Peng, Bin Li, Lei Liu, Zesong Fei, Dusit Niyato:
Trajectory Design and Resource Allocation for Multi-UAV-Assisted Sensing, Communication, and Edge Computing Integration. - Mohsen Falah Rad, Kamrad Khoshhal Roudposhti, Mohammad Hassan Khoobkar, Mohsen Shirali, Zahra Ahmadi, Carlos Fernández-Llatas:
DAMMI:Daily Activities in a Psychologically Annotated Multi-Modal IoT dataset. - Shengyuan Chen, Qinggang Zhang, Junnan Dong, Wen Hua, Jiannong Cao, Xiao Huang:
Neuro-Symbolic Entity Alignment via Variational Inference. - Robin Frehner, Kurt Stockinger:
Applying Quantum Autoencoders for Time Series Anomaly Detection. - Hongyuan Lu, Wai Lam:
Toxic Subword Pruning for Dialogue Response Generation on Large Language Models. - Tomoki Honda, Shinsuke Sakai, Tatsuya Kawahara:
Efficient and Robust Long-Form Speech Recognition with Hybrid H3-Conformer. - Keda Tao, Jinjin Gu, Yulun Zhang, Xiucheng Wang, Nan Cheng:
Overcoming False Illusions in Real-World Face Restoration with Multi-Modal Guided Diffusion Model. - Huije Lee, Hoyun Song, Jisu Shin, Sukmin Cho, SeungYoon Han, Jong C. Park:
Towards Effective Counter-Responses: Aligning Human Preferences with Strategies to Combat Online Trolling. - Abbas Abdolmaleki, Bilal Piot, Bobak Shahriari, Jost Tobias Springenberg, Tim Hertweck, Rishabh Joshi, Junhyuk Oh, Michael Bloesch, Thomas Lampe, Nicolas Heess, Jonas Buchli, Martin A. Riedmiller:
Preference Optimization as Probabilistic Inference. - Stavros C. Kassinos, Alessio Alexiadis:
Beyond Language: Applying MLX Transformers to Engineering Physics. - Zhengru Fang, Jingjing Wang, Yanan Ma, Yihang Tao, Yiqin Deng, Xianhao Chen, Yuguang Fang:
R-ACP: Real-Time Adaptive Collaborative Perception Leveraging Robust Task-Oriented Communications. - Shitong Shao, Zikai Zhou, Lichen Bai, Haoyi Xiong, Zeke Xie:
IV-Mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis. - Richard C. Rodriguez, Jonah Elijah P. Bardos:
Fast Object Detection with a Machine Learning Edge Device. - Cecilia Schmitz, Joshua Reynolds, Scott A. Kuhl, Keith Vertanen:
The Impact of Surface Co-location and Eye-tracking on Mixed Reality Typing. - Lirong Xia:
Computing Most Equitable Voting Rules. - Yiqi Liang, Ying Liu, Dandan Long, Ruihui Li:
Artistic Portrait Drawing with Vector Strokes. - Sebastián Basterrech:
Unsupervised Assessment of Landscape Shifts Based on Persistent Entropy and Topological Preservation. - Lucas Carr, Nicholas Leisegang, Thomas Meyer, Sebastian Rudolph:
Non-monotonic Extensions to Formal Concept Analysis via Object Preferences. - Dominika Woszczyk, Soteris Demetriou:
DiDOTS: Knowledge Distillation from Large-Language-Models for Dementia Obfuscation in Transcribed Speech. - Yiting Dong, Guobin Shen, Dongcheng Zhao, Xiang He, Yi Zeng:
Harnessing Task Overload for Scalable Jailbreak Attacks on Large Language Models. - Linfeng Zhang, Kaisheng Ma:
Accelerating Diffusion Models with One-to-Many Knowledge Distillation. - Xinlei Lin, Dunhui Xiao:
Parametric Taylor series based latent dynamics identification neural networks. - Lan Zhang, Xin Quan, André Freitas:
Consistent Autoformalization for Constructing Mathematical Libraries. - Reinhard Friedrich Fritsch, Adam Jatowt:
LLMTemporalComparator: A Tool for Analysing Differences in Temporal Adaptations of Large Language Models. - Tuan Truong, Quyen Tran, Quan Pham-Ngoc, Nhat Ho, Dinh Phung, Trung Le:
Improving Generalization with Flat Hilbert Bayesian Inference. - Anirudh Atmakuru, Jatin Nainani, Rohith Siddhartha Reddy Bheemreddy, Anirudh Lakkaraju, Zonghai Yao, Hamed Zamani, Haw-Shiuan Chang:
CS4: Measuring the Creativity of Large Language Models Automatically by Controlling the Number of Story-Writing Constraints. - Xiang Liu, Peijie Dong, Xuming Hu, Xiaowen Chu:
LongGenBench: Long-context Generation Benchmark. - Nikita Durasov, Assaf Shocher, Doruk Öner, Gal Chechik, Alexei A. Efros, Pascal Fua:
IT3: Idempotent Test-Time Training. - Md. Tarek Hasan, Mohammad Nazmush Shamael, H. M. Mutasim Billah, Arifa Akter, Md Al Emran Hossain, Sumayra Islam, Salekul Islam, Swakkhar Shatabda:
Deep Transfer Learning Based Peer Review Aggregation and Meta-review Generation for Scientific Articles. - Hanyang Zhao, Genta Indra Winata, Anirban Das, Shi-Xiong Zhang, David D. Yao, Wenpin Tang, Sambit Sahu:
RainbowPO: A Unified Framework for Combining Improvements in Preference Optimization. - Davide Alessandro Coccomini, Roberto Caldelli, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
Exploring Strengths and Weaknesses of Super-Resolution Attack in Deepfake Detection. - Moe Putterman, Derek Lim, Yoav Gelberg, Stefanie Jegelka, Haggai Maron:
Learning on LoRAs: GL-Equivariant Processing of Low-Rank Weight Spaces for Large Finetuned Models. - Hubert Huang, Jeffrey Huang:
Assessing the Impact of Disorganized Background Noise on Timed Stress Task Performance Through Attention Using Machine-Learning Based Eye-Tracking Techniques. - Viet-Hoang Tran, Thieu N. Vo, An Nguyen The, Tho Tran Huu, Minh-Khoi Nguyen-Nhat, Thanh Tran, Duy-Tung Pham, Tan Minh Nguyen:
Equivariant Neural Functional Networks for Transformers. - Ning Wang, Zekun Li, Tongxin Bai, Guoqi Li:
Correlation-Aware Select and Merge Attention for Efficient Fine-Tuning and Context Length Extension. - Thieu N. Vo, Viet-Hoang Tran, Tho Tran Huu, An Nguyen The, Thanh Tran, Minh-Khoi Nguyen-Nhat, Duy-Tung Pham, Tan Minh Nguyen:
Equivariant Polynomial Functional Networks. - Fanjun Bu, Hiroshi Yasuda:
Boosting Visual Fidelity in Driving Simulations through Diffusion Models. - Kaimin Cheng:
A class of ternary codes with few weights. - Gustavo de Freitas Fonseca, Lucas Coelho e Silva, Paulo André Lima de Castro:
Improving Portfolio Optimization Results with Bandit Networks. - Haiyang Liu, Xingchao Yang, Tomoya Akiyama, Yuantian Huang, Qiaoge Li, Shigeru Kuriyama, Takafumi Taketomi:
TANGO: Co-Speech Gesture Video Reenactment with Hierarchical Audio Motion Embedding and Diffusion Interpolation. - Gang Liu, Michael Sun, Wojciech Matusik, Meng Jiang, Jie Chen:
Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning. - Jianze Li, Jiezhang Cao, Zichen Zou, Xiongfei Su, Xin Yuan, Yulun Zhang, Yong Guo, Xiaokang Yang:
Distillation-Free One-Step Diffusion for Real-World Image Super-Resolution. - Dmitry Yarotsky, Maksim Velikanov:
SGD with memory: fundamental properties and stochastic acceleration. - Teruaki Hayashi, Hiroki Sakaji, Jiayi Dai, Randy Goebel:
Metadata-based Data Exploration with Retrieval-Augmented Generation for Large Language Models. - Zeyu Huang, Zuyu Xu, Yuanhao Zhang, Chengzhong Liu, Yanwei Zhao, Chuhan Shi, Jason Chen Zhao, Xiaojuan Ma:
Be There, Be Together, Be Streamed! AR Scenic Live-Streaming for an Interactive and Collective Experience. - Zi Wang, Divyam Anshumaan, Ashish Hooda, Yudong Chen, Somesh Jha:
Functional Homotopy: Smoothing Discrete Optimization via Continuous Parameters for LLM Jailbreak Attacks. - Andrea Napoli, Paul R. White:
Improving Distribution Alignment with Diversity-based Sampling. - Suryavardan S, Anku Rani, Parth Patwa, Aishwarya N. Reganti, Vinija Jain, Aman Chadha, Amitava Das, Amit P. Sheth, Asif Ekbal:
Overview of Factify5WQA: Fact Verification through 5W Question-Answering. - María Luz Gámiz, Fernando Jesus Navas-Gómez, Rafael Nozal-Cañadas, Rocío Raya-Miranda:
Towards the Best Solution for Complex System Reliability: Can Statistics Outperform Machine Learning? - Chunkit Chan, Cheng Jiayang, Xin Liu, Yauwai Yim, Yuxin Jiang, Zheye Deng, Haoran Li, Yangqiu Song, Ginny Y. Wong, Simon See:
Persona Knowledge-Aligned Prompt Tuning Method for Online Debate. - Sagi Shaier, Ari Kobren, Philip V. Ogren:
Adaptive Question Answering: Enhancing Language Model Proficiency for Addressing Knowledge Conflicts with Source Citations. - Nikola Radulov, Yuhao Zhang, Mihai Bujanca, Ruiqi Ye, Mikel Luján:
A Framework for Reproducible Benchmarking and Performance Diagnosis of SLAM Systems. - Jongha Woo, Qi Xiao, Victor Daldegan Paduani, Ning Lu:
A Two-Stage Optimization Method for Real-Time Parameterization of PV-Farm Digital Twin. - Nicholas Leisegang, Thomas Meyer, Sebastian Rudolph:
Towards Propositional KLM-Style Defeasible Standpoint Logics. - Syeda Aynul Karim, Md. Juniadul Islam:
Navigating the Future of Healthcare HR: Agile Strategies for Overcoming Modern Challenges. - Long Hoang Nguyen, Sebastian Lins, Maximilian Renner, Ali Sunyaev:
Unraveling the Nuances of AI Accountability: A Synthesis of Dimensions Across Disciplines. - Nikitha Rao, Elizabeth Gilbert, Tahina Ramananandro, Nikhil Swamy, Claire Le Goues, Sarah Fakhoury:
DiffSpec: Differential Testing with LLMs using Natural Language Specifications and Code Artifacts. - Lorenzo Terenzi, Julian Nubert, Pol Eyschen, Pascal Roth, Simin Fei, Edo Jelavic, Marco Hutter:
ETHcavation: A Dataset and Pipeline for Panoptic Scene Understanding and Object Tracking in Dynamic Construction Environments. - Gilchan Park, Paul Baity, Byung-Jun Yoon, Adolfy Hoisie:
Enhancing Future Link Prediction in Quantum Computing Semantic Networks through LLM-Initiated Node Features. - Zana Buçinca, Siddharth Swaroop, Amanda E. Paluch, Finale Doshi-Velez, Krzysztof Z. Gajos:
Contrastive Explanations That Anticipate Human Misconceptions Can Improve Human Decision-Making Skills. - Tomás Feith, Akhil Arora, Martin Gerlach, Debjit Paul, Robert West:
Entity Insertion in Multilingual Linked Corpora: The Case of Wikipedia. - Gokul Pandy, Vivekananda Jayaram, Manjunatha Sughaturu Krishnappa, Balaji Shesharao Ingole, Koushik Kumar Ganeeb, Shenson Joseph:
Advancements in Robotics Process Automation: A Novel Model with Enhanced Empirical Validation and Theoretical Insights. - Maria Marrium, Arif Mahmood, Mohammed Bennamoun:
Implicit to Explicit Entropy Regularization: Benchmarking ViT Fine-tuning under Noisy Labels. - Maria Heitmeier, Valeria Schmidt, Hendrik P. A. Lensch, R. Harald Baayen:
Is deeper always better? Replacing linear mappings with deep learning networks in the Discriminative Lexicon Model. - Julia Briden, Yilun Du, Enrico M. Zucchelli, Richard Linares:
Compositional Diffusion Models for Powered Descent Trajectory Generation with Flexible Constraints. - Yiming Qin, Manuel Madeira, Dorina Thanou, Pascal Frossard:
DeFoG: Discrete Flow Matching for Graph Generation. - Ximing Lu, Melanie Sclar, Skyler Hallinan, Niloofar Mireshghallah, Jiacheng Liu, Seungju Han, Allyson Ettinger, Liwei Jiang, Khyathi Raghavi Chandu, Nouha Dziri, Yejin Choi:
AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text. - Yicheng Sun, Jie Wang:
Constructing Cloze Questions Generatively. - Nasit S. Sony, Xianzhong Ding, Mukesh Singhal:
Slim-ABC: An Optimized Atomic Broadcast Protocol. - George-Andrei Dima, Andrei-Marius Avram, Cristian-George Craciun, Dumitru-Clementin Cercel:
RoQLlama: A Lightweight Romanian Adapted Language Model. - Josh Alman, Hantao Yu:
Fundamental Limitations on Subquadratic Alternatives to Transformers. - Francis Rhys Ward, Zejia Yang, Alex Jackson, Randy Brown, Chandler Smith, Grace Colverd, Louis Thomson, Raymond Douglas, Patrik Bartak, Andrew Rowan:
Evaluating Language Model Character Traits. - Abdul Hameed Azeemi, Ihsan Ayyub Qazi, Agha Ali Raza:
Language Model-Driven Data Pruning Enables Efficient Active Learning. - Joykirat Singh, Subhabrata Dutta, Tanmoy Chakraborty:
Mechanistic Behavior Editing of Language Models. - Emi Zeger, Mert Pilanci:
Black Boxes and Looking Glasses: Multilevel Symmetries, Reflection Planes, and Convex Optimization in Deep Networks. - Matthew Berger, Shusen Liu:
The Visualization JUDGE : Can Multimodal Foundation Models Guide Visualization Design Through Visual Perception? - Yuqiao He, Yuchao Chen, Jintao Wang, Jian Song:
Age of Synchronization Minimization in Wireless Networks with Random Updates and Time-Varying Timeliness Requirement. - Farhan Samir, Chan Young Park, Anjalie Field, Vered Shwartz, Yulia Tsvetkov:
Locating Information Gaps and Narrative Inconsistencies Across Languages: A Case Study of LGBT People Portrayals on Wikipedia. - Mengfang Sun, Wenying Sun, Ying Sun, Shaobo Liu, Mohan Jiang, Zhen Xu:
Applying Hybrid Graph Neural Networks to Strengthen Credit Risk Analysis. - Tatiana Chakravorti, Sanjana Gautam, Priya Silverstein, Sarah Michele Rajtmajer:
Open Science Practices by Early Career HCI Researchers: Perceptions, Challenges, and Benefits. - Donald Loveland, Danai Koutra:
Unveiling the Impact of Local Homophily on GNN Fairness: In-Depth Analysis and New Benchmarks. - Oskar Åström, Carina Geldhauser, Markus Grillitsch, Ola Hall, Alexandros Sopasakis:
Enhancing Carbon Emission Reduction Strategies using OCO and ICOS data. - Daniel Otero, Rafael Mateus, Randall Balestriero:
Self-Supervised Anomaly Detection in the Wild: Favor Joint Embeddings Methods. - Farhan Samir, Emily P. Ahn, Shreya Prakash, Márton Soskuthy, Vered Shwartz, Jian Zhu:
Efficiently Identifying Low-Quality Language Subsets in Multilingual Datasets: A Case Study on a Large-Scale Multilingual Audio Dataset. - Stanislaw Kazmierczak, Jacek Mandziuk:
Bootstrap Sampling Rate Greater than 1.0 May Improve Random Forest Performance. - Juan Ignacio Bravo Pérez-Villar, Álvaro García-Martín, Jesús Bescós, Juan C. SanMiguel:
Test-Time Adaptation for Keypoint-Based Spacecraft Pose Estimation Based on Predicted-View Synthesis. - Caitlin Ho, Andrea Arnold:
Integrating Physics-Informed Deep Learning and Numerical Methods for Robust Dynamics Discovery and Parameter Estimation. - Siying Li, Timothy D. Mount, Lang Tong:
Decentralized Equitable Energy Access in Energy Communities. - Bangguo Yu, Hamidreza Kasaei, Ming Cao:
PANav: Toward Privacy-Aware Robot Navigation via Vision-Language Models. - Hisham Kidwai, Danika Passler Bates, Sujana Islam Suhi, James Young, Shaiful Chowdhury:
Robotics Meets Software Engineering: A First Look at the Robotics Discussions on Stackoverflow. - Ankit Bhardwaj, Ananth Balashankar, Shiva R. Iyer, Nita Soans, Anant Sudarshan, Rohini Pande, Lakshminarayanan Subramanian:
Discovering Hidden Pollution Hotspots Using Sparse Sensor Measurements. - Xincheng Cao, Haochong Chen, Bilin Aksun Güvenç, Levent Güvenç:
Vehicle-in-Virtual-Environment Method for ADAS and Connected and Automated Driving Function Development/Demonstration/Evaluation. - Peiqi Wang, Barbara D. Lam, Yingcheng Liu, Ameneh Asgari-Targhi, Rameswar Panda, William M. Wells III, Tina Kapur, Polina Golland:
Calibrating Expressions of Certainty. - Glory Justin, Santiago Paternain:
Data-driven Under Frequency Load Shedding Using Reinforcement Learning. - Kevin Lu, Jordan Chong, Matt Lu, Jie Gao:
Enabling Asymptotic Truth Learning in a Social Network. - Carolina Veiga Ferreira de Souza, Ashish Sharma, Daniel de Oliveira, Marcos Lage, Fabio Miranda:
Urban Computing for Climate and Environmental Justice: Early Perspectives From Two Research Initiatives. - Haonan An, Zhengru Fang, Yuang Zhang, Senkang Hu, Xianhao Chen, Guowen Xu, Yuguang Fang:
Channel-Aware Throughput Maximization for Cooperative Data Fusion in CAV. - Rached Bouchoucha, Ahmed Haj Yahmed, Darshan Patil, Janarthanan Rajendran, Amin Nikanjam, Sarath Chandar, Foutse Khomh:
Toward Debugging Deep Reinforcement Learning Programs with RLExplorer. - Xiang Li, Pin-Yu Chen, Wenqi Wei:
SONAR: A Synthetic AI-Audio Detection Framework and Benchmark. - Quyen Tran, Minh Le, Tuan Truong, Dinh Phung, Linh Ngo, Thien Nguyen, Nhat Ho, Trung Le:
Leveraging Hierarchical Taxonomies in Prompt-based Continual Learning. - Yu-Shin Huang, Peter Just, Krishna Narayanan, Chao Tian:
OD-Stega: LLM-Based Near-Imperceptible Steganography via Optimized Distributions. - Alex Cloud, Jacob Goldman-Wetzler, Evzen Wybitul, Joseph Miller, Alexander Matt Turner:
Gradient Routing: Masking Gradients to Localize Computation in Neural Networks. - Dahlia Ziqi Zhou, Marios Fokaefs:
AI Assistants for Incident Lifecycle in a Microservice Environment: A Systematic Literature Review. - Shuhao Gu, Mengdi Zhao, Bowen Zhang, Liangdong Wang, Jijie Li, Guang Liu:
ReTok: Replacing Tokenizer to Enhance Representation Efficiency in Large Language Model. - Daniel R. Venn, Steven J. Ruuth:
A Meshfree Method for Eigenvalues of Differential Operators on Surfaces, Including Steklov Problems. - Chenqiu Zhao, Guanfang Dong, Anup Basu:
Accelerating Inference of Networks in the Frequency Domain. - Zhenrui Yue, Honglei Zhuang, Aijun Bai, Kai Hui, Rolf Jagerman, Hansi Zeng, Zhen Qin, Dong Wang, Xuanhui Wang, Michael Bendersky:
Inference Scaling for Long-Context Retrieval Augmented Generation. - Yahong Yang:
DeepONet for Solving PDEs: Generalization Analysis in Sobolev Training. - Guanzhen Li, Yuxi Xie, Min-Yen Kan:
MVP-Bench: Can Large Vision-Language Models Conduct Multi-level Visual Perception Like Humans? - Yang Zhao, Yixin Wang, Mingzhang Yin:
Ordinal Preference Optimization: Aligning Human Preferences via NDCG. - Bingxuan Li, Pengyi Shi, Amy R. Ward:
Latent Feature Mining for Predictive Model Enhancement with Large Language Models. - Xiaoke Zhu, Min Xie, Ting Deng, Qi Zhang:
HyperBlocker: Accelerating Rule-based Blocking in Entity Resolution using GPUs. - Aiwei Liu, Haoping Bai, Zhiyun Lu, Yanchao Sun, Xiang Kong, Simon Wang, Jiulong Shan, Albin Madappally Jose, Xiaojiang Liu, Lijie Wen, Philip S. Yu, Meng Cao:
TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights. - Yao Li, Sen Fang, Tao Zhang, Haipeng Cai:
Enhancing Android Malware Detection: The Influence of ChatGPT on Decision-centric Task. - Winston Hurst, Yasamin Mostofi:
Multi-Attribute Auctions for Efficient Operation of Non-Cooperative Relaying Systems. - Xiao Cui, Weicai Ye, Yifan Wang, Guofeng Zhang, Wengang Zhou, Houqiang Li:
StreetSurfGS: Scalable Urban Street Surface Reconstruction with Planar-based Gaussian Splatting. - Jiakai Tang, Heyang Gao, Xuchen Pan, Lei Wang, Haoran Tan, Dawei Gao, Yushuo Chen, Xu Chen, Yankai Lin, Yaliang Li, Bolin Ding, Jingren Zhou, Jun Wang, Ji-Rong Wen:
GenSim: A General Social Simulation Platform with Large Language Model based Agents. - Pravin Patil, Geetanjali Kale, Tanmay Karmarkar, Ruturaj Ghatage:
Multi Armed Bandit Algorithms Based Virtual Machine Allocation Policy for Security in Multi-Tenant Distributed Systems. - Dohun Lee, Bryan S. Kim, Geon Yeong Park, Jong Chul Ye:
VideoGuide: Improving Video Diffusion Models without Training Through a Teacher's Guide. - Tianjia Wang, Tong Wu, Huayi Liu, Chris Brown, Yan Chen:
Generative Co-Learners: Enhancing Cognitive and Social Presence of Students in Asynchronous Learning with Generative AI. - M. D. Arafat Kabir, Tendayi Kamucheka, Nathaniel Fredricks, Joel Mandebi, Jason D. Bakos, Miaoqing Huang, David Andrews:
IMAGine: An In-Memory Accelerated GEMV Engine Overlay. - Ziqian Zhong, Jacob Andreas:
Algorithmic Capabilities of Random Transformers. - Masato Kobayashi, Thanpimon Buamanee, Yuki Uranishi:
DABI: Evaluation of Data Augmentation Methods Using Downsampling in Bilateral Control-Based Imitation Learning with Images. - Nevindu Batagoda, Bo-Hsun Chen, Harry Zhang, Radu Serban, Dan Negrut:
A physics-based sensor simulation environment for lunar ground operations. - Ke Sun, Shen Chen, Taiping Yao, Hong Liu, Xiaoshuai Sun, Shouhong Ding, Rongrong Ji:
DiffusionFake: Enhancing Generalization in Deepfake Detection via Guided Stable Diffusion. - Hadi Hosseini, Sanjukta Roy, Duohan Zhang:
Putting Gale & Shapley to Work: Guaranteeing Stability Through Learning. - Shakila Mahjabin Tonni, Pedro Faustini, Mark Dras:
Suspiciousness of Adversarial Texts to Human. - Zhonghao Sun, Jizu Huang, Chuanfu Xiao, Chao Yang:
HaTT: Hadamard avoiding TT recompression. - Xinyi Xu, Shuaiqi Wang, Chuan-Sheng Foo, Bryan Kian Hsiang Low, Giulia Fanti:
Data Distribution Valuation. - Urszula Jessen, Dirk Fahland:
WISE: Unraveling Business Process Metrics with Domain Knowledge. - Yijia Chang, Hanrui Jiang, Chao Lin, Xinyi Huang, Jian Weng:
Towards Understanding and Enhancing Security of Proof-of-Training for DNN Model Ownership Verification. - Zherui Qiu, Chenqu Ren, Kaiwen Song, Xiaoyi Zeng, Leyuan Yang, Juyong Zhang:
Deformable NeRF using Recursively Subdivided Tetrahedra. - Jun Hirako, Ryohei Sasano, Koichi Takeda:
CiMaTe: Citation Count Prediction Effectively Leveraging the Main Text. - Weixiang Zhao, Yulin Hu, Jiahe Guo, Xingyu Sui, Tongtong Wu, Yang Deng, Yanyan Zhao, Bing Qin, Wanxiang Che, Ting Liu:
Lens: Rethinking Multilingual Enhancement for Large Language Models. - Zonghan Wang, Zahra Mobini, Hien Quoc Ngo, Michail Matthaiou:
Anti-Malicious ISAC Using Proactive Monitoring. - Lingxi Li, Zonghai Yao, Sunjae Kwon, Hong Yu:
Blocks Architecture (BloArk): Efficient, Cost-Effective, and Incremental Dataset Architecture for Wikipedia Revision History. - Minjia Shi, Xuan Wang, Junmin An, Jon-Lark Kim:
Log-Concave Sequences in Coding Theory. - Yuxuan Chen, Qingqing Wu, Guangji Chen, Wen Chen:
Spatial Multiplexing Oriented Channel Reconfiguration in Multi-IRS Aided MIMO Systems. - Javier Marín:
Optimizing AI Reasoning: A Hamiltonian Dynamics Approach to Multi-Hop Question Answering. - Tuan V. Ngo, Mao V. Ngo, Binbin Chen, Gabriele Gemmi, Eduardo Baena, Michele Polese, Tommaso Melodia, William Chien, Tony Q. S. Quek:
Consistent and Repeatable Testing of O-RAN Distributed Unit (O-DU) across Continents. - Yuan Zhang, Chun-Kai Fan, Junpeng Ma, Wenzhao Zheng, Tao Huang, Kuan Cheng, Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Shanghang Zhang:
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference. - Jianhao Jiao, Jinhao He, Changkun Liu, Sebastian Aegidius, Xiangcheng Hu, Tristan Braud, Dimitrios Kanoulas:
LiteVLoc: Map-Lite Visual Localization for Image Goal Navigation. - Bharat Adsul, Nehul Jain:
Non-deterministic asynchronous automata games and their undecidability. - Zhengting Chen, Lei Cheng, Lianghui Ding, Quanshi Zhang:
Disentangling Regional Primitives for Image Generation. - Yijiong Yu, Ma Xiufa, Fang Jianwei, Zhi Xu, Su Guangyao, Wang Jiancheng, Yongfeng Huang, Zhixiao Qi, Wei Wang, Weifeng Liu, Ran Chen, Ji Pei:
Hyper-multi-step: The Truth Behind Difficult Long-context Tasks. - Divya Jyoti Bajpai, Manjesh Kumar Hanawal:
DAdEE: Unsupervised Domain Adaptation in Early Exit PLMs. - Devank, Jayateja Kalla, Soma Biswas:
CoVLM: Leveraging Consensus from Vision-Language Models for Semi-supervised Multi-modal Fake News Detection. - Thanh-Tam Nguyen, Mao V. Ngo, Binbin Chen, Mitsuhiro Kuchitsu, Serena Wai, Seitaro Kawai, Kenya Suzuki, Eng Wei Koo, Tony Q. S. Quek:
Consistent and Repeatable Testing of mMIMO O-RU across labs: A Japan-Singapore Experience. - Yasmina Khiar, Esmeralda Mainar, Eduardo Royo-Amondarain, Beatriz Rubio:
Total positivity and accurate computations related to q-Abel polynomials. - Divya Jyoti Bajpai, Manjesh Kumar Hanawal:
CAPEEN: Image Captioning with Early Exits and Knowledge Distillation. - Xue-Cheng Tai, Hao Liu, Raymond H. Chan, Lingfeng Li:
A Mathematical Explanation of UNet. - Wenbo Li, Guohao Li, Zhibin Lan, Xue Xu, Wanru Zhuang, Jiachen Liu, Xinyan Xiao, Jinsong Su:
Empowering Backbone Models for Visual Text Generation with Input Granularity Control and Glyph-Aware Training. - Toqa Alaa, Mostafa Kotb, Arwa Zakaria, Mariam Diab, Walid Gomaa:
Automated Detection of Defects on Metal Surfaces using Vision Transformers. - Peiyuan Liu, Beiliang Wu, Yifan Hu, Naiqi Li, Tao Dai, Jigang Bao, Shu-Tao Xia:
TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting. - Xunjian Yin, Xinyi Wang, Liangming Pan, Xiaojun Wan, William Yang Wang:
Gödel Agent: A Self-Referential Agent Framework for Recursive Self-Improvement. - Julian Wyatt, Irina Voiculescu:
Optimising for the Unknown: Domain Alignment for Cephalometric Landmark Detection. - Shivank Garg, Manyana Tiwari:
Attention Shift: Steering AI Away from Unsafe Content. - Toqa Alaa, Ahmad Mongy, Assem Bakr, Mariam Diab, Walid Gomaa:
Video Summarization Techniques: A Comprehensive Review. - Zhentao Xie, Jiabao Zhao, Yilei Wang, Jinxin Shi, Yanhong Bai, Xingjiao Wu, Liang He:
MindScope: Exploring cognitive biases in large language models through Multi-Agent Systems. - Valerio Goretti, Davide Basile, Luca Barbaro, Claudio Di Ciccio:
CONFINE: Preserving Data Secrecy in Decentralized Process Mining. - Qichao Ma, Rui-Jie Zhu, Peiye Liu, Renye Yan, Fahong Zhang, Ling Liang, Meng Li, Zhaofei Yu, Zongwei Wang, Yimao Cai, Tiejun Huang:
CopyLens: Dynamically Flagging Copyrighted Sub-Dataset Contributions to LLM Outputs. - Tobias Norlund, Tim Isbister, Amaru Cuba Gyllensten, Paul Dos Santos, Danila Petrelli, Ariel Ekgren, Magnus Sahlgren:
SWEb: A Large Web Dataset for the Scandinavian Languages. - Chen Yu:
An Attention-Based Algorithm for Gravity Adaptation Zone Calibration. - Ruinan Jin, Xiao Li, Yaoliang Yu, Baoxiang Wang:
A Comprehensive Framework for Analyzing the Convergence of Adam: Bridging the Gap with SGD. - Hyeonah Kim, Minsu Kim, Taeyoung Yun, Sanghyeok Choi, Emmanuel Bengio, Alex Hernández-García, Jinkyoo Park:
Improved Off-policy Reinforcement Learning in Biological Sequence Design. - Georgii S. Novikov, Alexander Gneushev, Alexey Kadeishvili, Ivan Oseledets:
Tensor-Train Point Cloud Compression and Efficient Approximate Nearest-Neighbor Search. - Yongheng Zhang, Qiguang Chen, Jingxuan Zhou, Peng Wang, Jiasheng Si, Jin Wang, Wenpeng Lu, Libo Qin:
Wrong-of-Thought: An Integrated Reasoning Framework with Multi-Perspective Verification and Wrong Information. - Jinhao Li, Jiaming Xu, Shan Huang, Yonghua Chen, Wen Li, Jun Liu, Yaoxiu Lian, Jiayi Pan, Li Ding, Hao Zhou, Yu Wang, Guohao Dai:
Large Language Model Inference Acceleration: A Comprehensive Hardware Perspective. - Hakaze Cho, Mariko Kato, Yoshihiro Sakai, Naoya Inoue:
Revisiting In-context Learning Inference Circuit in Large Language Models. - Bowen Li, Bin Shi:
Numerical Solution for Nonlinear 4D Variational Data Assimilation (4D-Var) via ADMM. - Jingxuan Xu, Wuyang Chen, Linyi Li, Yao Zhao, Yunchao Wei:
Collapsed Language Models Promote Fairness. - Ziao Qin, Haifan Yin:
Partial reciprocity-based precoding matrix prediction in FDD massive MIMO with mobility. - Harrison Zhu, Ivan Fung, Yingke Zhu, Lahiru Samarakoon:
Configurable Multilingual ASR with Speech Summary Representations. - Jakub Bednarek, Krzysztof Krawiec:
Learning to Solve Abstract Reasoning Problems with Neurosymbolic Program Synthesis and Task Generation. - Omer Shubi, Yoav Meiri, Cfir Avraham Hadar, Yevgeni Berzak:
Fine-Grained Prediction of Reading Comprehension from Eye Movements. - Anton Cheshkov, Pavel Zadorozhny, Rodion Levichev, Evgeny Maslov, Ronaldo Franco Jaldin:
Exploring the Potential of Conversational Test Suite Based Program Repair on SWE-bench. - Xiaoyu Shen, Fang Fang, Chengguang Liu:
The Fourier Cosine Method for Discrete Probability Distributions. - Guanglin Niu, Bo Li, Siling Feng:
A Pluggable Common Sense-Enhanced Framework for Knowledge Graph Completion. - Beatrice Casey, Joanna C. S. Santos, Mehdi Mirakhorli:
A Large-Scale Exploit Instrumentation Study of AI/ML Supply Chain Attacks in Hugging Face Models. - Xinyu Feng, Yuming Lin, Lihua He, You Li, Liang Chang, Ya Zhou:
Knowledge-Guided Dynamic Modality Attention Fusion Framework for Multimodal Sentiment Analysis. - Zhaorui Tan, Xi Yang, Qiufeng Wang, Anh Nguyen, Kaizhu Huang:
Interpret Your Decision: Logical Reasoning Regularization for Generalization in Visual Classification. - Valentyn Piskovskyi, Riccardo Chimisso, Sabrina Patania, Tom Foulsham, Giuseppe Vizzari, Dimitri Ognibene:
Generalizability analysis of deep learning predictions of human brain responses to augmented and semantically novel visual stimuli. - Renye Yan, Yaozhong Gan, You Wu, Junliang Xing, Ling Liang, Yeshang Zhu, Yimao Cai:
AdaMemento: Adaptive Memory-Assisted Policy Optimization for Reinforcement Learning. - Berker Demirel, Lingjing Kong, Kun Zhang, Theofanis Karaletsos, Celestine Mendler-Dünner, Francesco Locatello:
Adjusting Pretrained Backbones for Performativity. - Vy Nguyen, Chau Pham:
Leveraging Large Language Models for Suicide Detection on Social Media with Limited Labels. - Chenglong Wang, Yang Gan, Yifu Huo, Yongyu Mu, Qiaozhi He, Murun Yang, Tong Xiao, Chunliang Zhang, Tongran Liu, Jingbo Zhu:
LRHP: Learning Representations for Human Preferences via Preference Pairs. - Doanh C. Bui, Jin Tae Kwak:
MECFormer: Multi-task Whole Slide Image Classification with Expert Consultation Network. - Yibo Yan, Shen Wang, Jiahao Huo, Hang Li, Boyan Li, Jiamin Su, Xiong Gao, Yi-Fan Zhang, Tianlong Xu, Zhendong Chu, Aoxiao Zhong, Kun Wang, Hui Xiong, Philip S. Yu, Xuming Hu, Qingsong Wen:
ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection. - Kuan-Chen Mu, Zhi-Yi Chin, Wei-Chen Chiu:
Realizing Video Summarization from the Path of Language-based Semantic Understanding. - Justin Steinman, Andreas Buttenschön:
Support Graph Preconditioners for Off-Lattice Cell-Based Models. - Xuan Gong, Tianshi Ming, Xinpeng Wang, Zhihua Wei:
DAMRO: Dive into the Attention Mechanism of LVLM to Reduce Object Hallucination. - Shining Sun, Khandaker Akramul Haque, Xiang Huo, Leen Al Homoud, Shamina Hossain-McKenzie, Ana E. Goulart, Katherine R. Davis:
A Reinforcement Learning Engine with Reduced Action and State Space for Scalable Cyber-Physical Optimal Response. - Yige Xu, Xu Guo, Zhiwei Zeng, Chunyan Miao:
RevMUX: Data Multiplexing with Reversible Adapters for Efficient LLM Batch Inference. - Sebastian Pineda-Arango, Maciej Janowski, Lennart Purucker, Arber Zela, Frank Hutter, Josif Grabocka:
Dynamic Post-Hoc Neural Ensemblers. - Lai Wei, Wenkai Wang, Xiaoyu Shen, Yu Xie, Zhihao Fan, Xiaojin Zhang, Zhongyu Wei, Wei Chen:
MC-CoT: A Modular Collaborative CoT Framework for Zero-shot Medical-VQA with LLM and MLLM Integration. - Mahdi Al-Husseini, Kyle Hollins Wray, Mykel J. Kochenderfer:
Semi-Markovian Planning to Coordinate Aerial and Maritime Medical Evacuation Platforms. - Yanrui Du, Sendong Zhao, Jiawei Cao, Ming Ma, Danyang Zhao, Fenglei Fan, Ting Liu, Bing Qin:
Towards Secure Tuning: Mitigating Security Risks Arising from Benign Instruction Fine-Tuning. - Berker Demirel, Marco Fumero, Francesco Locatello:
Look Around and Find Out: OOD Detection with Relative Angles. - Siqiao Xue, Tingting Chen, Fan Zhou, Qingyang Dai, Zhixuan Chu, Hongyuan Mei:
FAMMA: A Benchmark for Financial Domain Multilingual Multimodal Question Answering. - Bashar Talafha, Karima Kadaoui, Samar Mohamed Magdy, Mariem Habiboullah, Chafei Mohamed Chafei, Ahmed Oumar El-Shangiti, Hiba Zayed, Mohamedou Cheikh Tourad, Rahaf Alhamouri, Rwaa Assi, Aisha Alraeesi, Hour Mohamed, Fakhraddin Alwajih, Abdelrahman Mohamed, Abdellah El Mekki, El Moatez Billah Nagoudi, Benelhadj Djelloul Mama Saadia, Hamzah A. Alsayadi, Walid Al-Dhabyani, Sara Shatnawi, Yasir Ech-Chammakhy, Amal Makouar, Yousra Berrachedi, Mustafa Jarrar, Shady Shehata, Ismail Berrada, Muhammad Abdul-Mageed:
Casablanca: Data and Models for Multidialectal Arabic Speech Recognition. - Rajeev Gangula, Tommaso Melodia, Rakesh Mundlamuri, Florian Kaltenberger:
Round Trip Time Estimation Utilizing Cyclic Shift of Uplink Reference Signal. - Shenghao Li:
In-Place Panoptic Radiance Field Segmentation with Perceptual Prior for 3D Scene Understanding. - Han Yang, Kun Su, Yutong Zhang, Jiaben Chen, Kaizhi Qian, Gaowen Liu, Chuang Gan:
UniMuMo: Unified Text, Music and Motion Generation. - Nicholas Carlotti, Mirko Nava, Alessandro Giusti:
Multi-LED Classification as Pretext For Robot Heading Estimation. - Priyadarshan, Constance Crozier, Kyri Baker, Kevin J. Kircher:
Distribution Grids May Be a Barrier To Residential Electrification. - Shoaib Ahmed Siddiqui, Yanzhi Chen, Juyeon Heo, Menglin Xia, Adrian Weller:
On Evaluating LLMs' Capabilities as Functional Approximators: A Bayesian Perspective. - Friso de Kruiff, Erik Bekkers, Ozan Öktem, Carola-Bibiane Schönlieb, Willem Diepeveen:
Pullback Flow Matching on Data Manifolds. - Vinesh Sridhar, Rolf Svenning:
Fast Area-Weighted Peeling of Convex Hulls for Outlier Detection. - Zhuoyan Li, Chen Liang, Jing Peng, Ming Yin:
How Does the Disclosure of AI Assistance Affect the Perceptions of Writing? - Zichen Tian, Zhaozheng Chen, Qianru Sun:
Learning De-Biased Representations for Remote-Sensing Imagery. - Rayan Bahrami, Hamidreza Jafarnejadsani:
Distributed Detection of Adversarial Attacks for Resilient Cooperation of Multi-Robot Systems with Intermittent Communication. - Amanda Aird, Elena Stefancova, Cassidy All, Amy Voida, Martin Homola, Nicholas Mattei, Robin Burke:
Social Choice for Heterogeneous Fairness in Recommendation. - Sabrina Guidotti, Gregor Donabauer, Simone Somazzi, Udo Kruschwitz, Davide Taibi, Dimitri Ognibene:
Modeling Social Media Recommendation Impacts Using Academic Networks: A Graph Neural Network Approach. - Yutaka Shimizu, Masayoshi Tomizuka:
Bisimulation metric for Model Predictive Control. - Junwei Deng, Ting-Wei Li, Shiyuan Zhang, Shixuan Liu, Yijun Pan, Hao Huang, Xinhe Wang, Pingbang Hu, Xingjian Zhang, Jiaqi W. Ma:
dattri: A Library for Efficient Data Attribution. - Andreas Mueller, Julien Siems, Harsha Nori, David Salinas, Arber Zela, Rich Caruana, Frank Hutter:
GAMformer: In-Context Learning for Generalized Additive Models. - Silvia Palmucci, Giulio Bartoli, Andrea Abrardo, Marco Moretti, Marco Di Renzo:
Power Minimization with Rate Constraints for Multi-User MIMO Systems with Large-Size RISs. - Ehsan Ebrahimzadeh, Nikhil Monga, Hang Gao, Alex Cozzi, Abraham Bagherjeiran:
Ranking Policy Learning via Marketplace Expected Value Estimation From Observational Data. - Stefano Calzavara, Lorenzo Cazzaro, Donald Gera, Salvatore Orlando:
Watermarking Decision Tree Ensembles. - Aakriti Agrawal, Mucong Ding, Zora Che, Chenghao Deng, Anirudh Satheesh, John Langford, Furong Huang:
EnsemW2S: Can an Ensemble of LLMs be Leveraged to Obtain a Stronger LLM? - Karan Muvvala, Morteza Lahijanian:
Admissibility Over Winning: A New Approach to Reactive Synthesis in Robotics. - Mehwish Ghafoor, Arif Mahmood, Muhammad Bilal:
Enhancing 3D Human Pose Estimation Amidst Severe Occlusion with Dual Transformer Fusion. - Zhichao Hou, MohamadAli Torkamani, Hamid Krim, Xiaorui Liu:
Robustness Reprogramming for Representation Learning. - Tianjian Li, Haoran Xu, Weiting Tan, Kenton Murray, Daniel Khashabi:
Upsample or Upweight? Balanced Training on Heavily Imbalanced Datasets. - Lee Zheng Han, Umang Mathur:
Efficient Linearizability Monitoring for Sets, Stacks, Queues and Priority Queues. - Pengcheng Jiang, Cao Xiao, Minhao Jiang, Parminder Bhatia, Taha Kass-Hout, Jimeng Sun, Jiawei Han:
Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval. - Qiqiang Lin, Muning Wen, Qiuying Peng, Guanyu Nie, Junwei Liao, Jun Wang, Xiaoyun Mo, Jiamu Zhou, Cheng Cheng, Yin Zhao, Jun Wang, Weinan Zhang:
Hammer: Robust Function-Calling for On-Device Language Models via Function Masking. - Ludovica Pannitto:
Towards the first UD Treebank of Spoken Italian: the KIParla forest. - Siyi Wu, Weidan Cao, Shihan Fu, Bingsheng Yao, Ziqi Yang, Changchang Yin, Varun Mishra, Daniel Addison, Ping Zhang, Dakuo Wang:
CardioAI: A Multimodal AI-based System to Support Symptom Monitoring and Risk Detection of Cancer Treatment-Induced Cardiotoxicity. - Valerie Chen, Alan Zhu, Sebastian Zhao, Hussein Mozannar, David A. Sontag, Ameet Talwalkar:
Need Help? Designing Proactive AI Assistants for Programming. - Seungjun Yi, Jaeyoung Lim, Juyong Yoon:
ProtocoLLM: Automatic Evaluation Framework of LLMs on Domain-Specific Scientific Protocol Formulation Tasks. - Ehsan Bitaraf, Maryam Jafarpour:
Decoding MIE: A Novel Dataset Approach Using Topic Extraction and Affiliation Parsing. - Yacine Mokhtari, Patrick Coirault, Emmanuel Moulay, Jérôme Le Ny, Didier Larraillet:
Distributed ADMM Approach for the Power Distribution Network Reconfiguration. - Rabia Bajwa, Farah Tasnur Meem:
Privacy's Peril: Unmasking the Unregulated Underground Market of Data Brokers and the Suggested Framework. - Harshit, Tolga Tasdizen:
VISTA: A Visual and Textual Attention Dataset for Interpreting Multimodal Models. - Diego Vazquez Gonzalez, Hsing-Kuo Pao:
The Z-Curve as an n-Dimensional Hypersphere: Properties and Analysis. - Zhaolin Gao, Wenhao Zhan, Jonathan D. Chang, Gokul Swamy, Kianté Brantley, Jason D. Lee, Wen Sun:
Regressing the Relative Future: Efficient Policy Optimization for Multi-turn RLHF. - Blakeley H. Payne, Jordan Taylor, Katta Spiel, Casey Fiesler:
Building Solidarity Amid Hostility: Experiences of Fat People in Online Communities. - Alimohammad Beigi, Bohan Jiang, Dawei Li, Tharindu Kumarage, Zhen Tan, Pouya Shaeri, Huan Liu:
LRQ-Fact: LLM-Generated Relevant Questions for Multimodal Fact-Checking. - Piotr Gramacki, Bruno Martins, Piotr Szymanski:
Evaluation of Code LLMs on Geospatial Code Generation. - Tianshu Kuai, Sina Honari, Igor Gilitschenski, Alex Levinshtein:
Towards Unsupervised Blind Face Restoration using Diffusion Prior. - Junwei Su, Peter Marbach:
The Role of Social Support and Influencers in Social Media Communities. - Jakub Pokrywka:
Passage Retrieval of Polish Texts Using OKAPI BM25 and an Ensemble of Cross Encoders. - Jakub Pokrywka:
Punctuation Prediction for Polish Texts using Transformers. - Bingxuan Li, Yiwei Wang, Tao Meng, Kai-Wei Chang, Nanyun Peng:
Control Large Language Models via Divide and Conquer. - Mathias Jackermeier, Alessandro Abate:
DeepLTL: Learning to Efficiently Satisfy Complex LTL Specifications. - David-Gabriel Ion, Razvan-Alexandru Smadu, Dumitru-Clementin Cercel, Florin Pop, Mihaela-Claudia Cercel:
A Cross-Lingual Meta-Learning Method Based on Domain Adaptation for Speech Emotion Recognition. - Salma Abdel Magid, Weiwei Pan, Simon Warchol, Grace Guo, Junsik Kim, Mahia Rahman, Hanspeter Pfister:
Is What You Ask For What You Get? Investigating Concept Associations in Text-to-Image Models. - David X. Wu, Anant Sahai:
Provable Weak-to-Strong Generalization via Benign Overfitting. - Jason Kurz, Sean Oughton, Shitao Liu:
Radial Basis Operator Networks. - Christopher Agia, Rohan Sinha, Jingyun Yang, Zi-ang Cao, Rika Antonova, Marco Pavone, Jeannette Bohg:
Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress. - Alexander B. Atanasov, Alexandru Meterez, James B. Simon, Cengiz Pehlevan:
The Optimization Landscape of SGD Across the Feature Learning Strength. - Yonghan Lee, Jaehoon Choi, Dongki Jung, Jaeseong Yun, Soohyun Ryu, Dinesh Manocha, Suyong Yeon:
Mode-GS: Monocular Depth Guided Anchored 3D Gaussian Splatting for Robust Ground-View Scene Rendering. - Dewei Hu, Hao Li, Han Liu, Jiacheng Wang, Xing Yao, Daiwei Lu, Ipek Oguz:
AdaptDiff: Cross-Modality Domain Adaptation via Weak Conditional Semantic Diffusion for Retinal Vessel Segmentation. - Chengyuan Xu, Radha Kumaran, Noah Stier, Kangyou Yu, Tobias Höllerer:
Multimodal 3D Fusion and In-Situ Learning for Spatially Aware AI. - A. Flores, R. C. De Lamare:
Study of Tomlinson-Harashima Precoders for Rate-Splitting-Based Cell-Free MIMO Networks. - Shane E. Loeffler, Zan Ahmad, Syed Yusuf Ali, Carolyna A. P. Yamamoto, Dan M. Popescu, Alana Yee, Yash Lal, Natalia A. Trayanova, Mauro Maggioni:
Graph Fourier Neural Kernels (G-FuNK): Learning Solutions of Nonlinear Diffusive Parametric PDEs on Multiple Domains. - Aniruddh Sriram, Fangyuan Xu, Eunsol Choi, Greg Durrett:
Contrastive Learning to Improve Retrieval for Real-world Fact Checking. - Ziyue Wang, Chi Chen, Fuwen Luo, Yurui Dong, Yuanchi Zhang, Yuzhuang Xu, Xiaolong Wang, Peng Li, Yang Liu:
ActiView: Evaluating Active Perception Ability for Multimodal Large Language Models. - Xiaorui Su, Yibo Wang, Shanghua Gao, Xiaolong Liu, Valentina Giunchiglia, Djork-Arné Clevert, Marinka Zitnik:
Knowledge Graph Based Agent for Complex, Knowledge-Intensive QA in Medicine. - Ethan Wilson, Kai Yue, Chau-Wai Wong, Huaiyu Dai:
Federated Learning Nodes Can Reconstruct Peers' Image Data. - Xincheng Cao, Levent Guvenç:
Path Planning and Robust Path Tracking Control of an Automated Parallel Parking Maneuver. - Chaithanya Bandi, Abir Harrasse:
Adversarial Multi-Agent Evaluation of Large Language Models through Iterative Debates. - Jon Arrizabalaga, Markus Ryll:
A Universal Formulation for Path-Parametric Planning and Control. - Christopher R. Wentland, Francesco Rizzi, Joshua Barnett, Irina Tezaur:
The role of interface boundary conditions and sampling strategies for Schwarz-based coupling of projection-based reduced order models. - Ziyu Yao, Jialin Li, Yifeng Zhou, Yong Liu, Xi Jiang, Chengjie Wang, Feng Zheng, Yuexian Zou, Lei Li:
CAR: Controllable Autoregressive Modeling for Visual Generation. - Eman Abdullah AlOmar:
Deciphering Refactoring Branch Dynamics in Modern Code Review: An Empirical Study on Qt. - Matthew Strong, Boshu Lei, Aiden Swann, Wen Jiang, Kostas Daniilidis, Monroe Kennedy III:
Next Best Sense: Guiding Vision and Touch with FisherRF for 3D Gaussian Splatting. - Zhifeng Tang, Nan Yang, Salman Durrani, Xiangyun Zhou, Markku J. Juntti, Josep Miquel Jornet:
Coverage Analysis for 3D Indoor Terahertz Communication System Over Fluctuating Two-Ray Fading Channels. - Yongyi Su, Yushu Li, Nanqing Liu, Kui Jia, Xulei Yang, Chuan-Sheng Foo, Xun Xu:
On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning. - Dylan Xu, Juan Pablo Rivera:
Towards Measuring Goal-Directedness in AI Systems. - Yixuan Li, Emery D. Berger, Minsuk Kahng, Cindy Xiong Bearfield:
Does the Infamous Pie Chart Really Hurt Decision-Making in the Real World? Assessing the Role of Visualization in High-Level Academic Decisions. - Mohammed Saif, Mohammad Javad-Kalbasi, Shahrokh Valaee:
Uni-polarized RIS Beamforming for Improving Connectivity of Multi-RIS-Assisted D2D Networks. - Vince Zhu, Zhanghexuan Ji, Dazhou Guo, Puyang Wang, Yingda Xia, Le Lu, Xianghua Ye, Wei Zhu, Dakai Jin:
Low-Rank Continual Pyramid Vision Transformer: Incrementally Segment Whole-Body Organs in CT with Light-Weighted Adaptation. - Qingyu Yin, Xuzheng He, Luoao Deng, Chak Tou Leong, Fan Wang, Yanzhao Yan, Xiaoyu Shen, Qiang Zhang:
Deeper Insights Without Updates: The Power of In-Context Learning Over Fine-Tuning. - Hoang-Viet Tran, Thieu N. Vo, Tho Tran Huu, Tan Minh Nguyen:
A Clifford Algebraic Approach to E(n)-Equivariant High-order Graph Neural Networks. - Mohamadamin Rajabinezhad, Nesa Shams, Yichao Wang, Shan Zuo:
Transient-Safe and Attack-Resilient Secondary Control in AC Microgrids Under Polynomially Unbounded FDI Attacks. - Lei Dai, Xiaojie Wang:
Higher order numerical methods for SDEs without globally monotone coefficients. - Lei Wang, Shan Dong, Yuhui Xu, Hanze Dong, Yalu Wang, Amrita Saha, Ee-Peng Lim, Caiming Xiong, Doyen Sahoo:
MathHay: An Automated Benchmark for Long-Context Mathematical Reasoning in LLMs. - Alexander S. Choi, Syeda Sabrina Akter, JP Singh, Antonios Anastasopoulos:
The LLM Effect: Are Humans Truly Using LLMs, or Are They Being Influenced By Them Instead? - Yu-Hua Chen, Yuan-Chiao Cheng, Yen-Tung Yeh, Jui-Te Wu, Yu-Hsiang Ho, Jyh-Shing Roger Jang, Yi-Hsuan Yang:
Demo of Zero-Shot Guitar Amplifier Modelling: Enhancing Modeling with Hyper Neural Networks. - Minjung Kim, Yusuke Hioka, Michael Witbrock:
Neural Fourier Modelling: A Highly Compact Approach to Time-Series Analysis. - Kai Li, Masato Akagi, Yongwei Li, Masashi Unoki:
Modeling and Estimation of Vocal Tract and Glottal Source Parameters Using ARMAX-LF Model. - Mehul Damani, Idan Shenfeld, Andi Peng, Andreea Bobu, Jacob Andreas:
Learning How Hard to Think: Input-Adaptive Allocation of LM Computation. - Ankur Arjun Mali, Tommaso Salvatori, Alexander Ororbia:
Tight Stability, Convergence, and Robustness Bounds for Predictive Coding Networks. - Xiaomin Li, Mingye Gao, Zhiwei Zhang, Chang Yue, Hong Hu:
Rule-based Data Selection for Large Language Models. - Rui Gao, Rajeev K. Jaiman:
H-SIREN: Improving implicit neural representations with hyperbolic periodic functions. - Dylan Zhang, Justin Wang, François Charton:
Only-IF:Revealing the Decisive Effect of Instruction Diversity on Generalization. - Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Takamitsu Matsubara:
Domains as Objectives: Domain-Uncertainty-Aware Policy Optimization through Explicit Multi-Domain Convex Coverage Set Learning. - Hyungjin Chung, Dohun Lee, Jong Chul Ye:
ACDC: Autoregressive Coherent Multimodal Generation using Diffusion Correction. - Xuanrui Zeng:
A Strategy for Label Alignment in Deep Neural Networks. - Guangzhi Xiong, Sanchit Sinha, Aidong Zhang:
ProtoNAM: Prototypical Neural Additive Models for Interpretable Deep Tabular Learning. - Xinyu Liu, Runsong Zhao, Pengcheng Huang, Chunyang Xiao, Bei Li, Jingang Wang, Tong Xiao, Jingbo Zhu:
Forgetting Curve: A Reliable Method for Evaluating Memorization Capability for Long-context Models. - Yuri Suzuki, Kaho Kato, Naomi Furui, Daisuke Sakamoto, Yuta Sugiura:
Exploring Gestural Interaction with a Cushion Interface for Smart Home Control. - Yen-Che Hsiao, Abhishek Dutta:
Efficient transformer with reinforced position embedding for language models. - Yohei Kawasaki, Yuta Sugiura:
Guidance of the Center of Pressure Using Haptic Presentation. - Yujin Tang, Lu Qi, Fei Xie, Xiangtai Li, Chao Ma, Ming-Hsuan Yang:
PredFormer: Transformers Are Effective Spatial-Temporal Predictive Learners. - Deqing Fu, Tong Xiao, Rui Wang, Wang Zhu, Pengchuan Zhang, Guan Pang, Robin Jia, Lawrence Chen:
TLDR: Token-Level Detective Reward Model for Large Vision Language Models. - Zhen Wang, Dongyuan Li, Renhe Jiang:
Diffusion Models in 3D Vision: A Survey. - Si-An Chen, Lesly Miculicich, Julian Martin Eisenschlos, Zifeng Wang, Zilong Wang, Yanfei Chen, Yasuhisa Fujii, Hsuan-Tien Lin, Chen-Yu Lee, Tomas Pfister:
TableRAG: Million-Token Table Understanding with Language Models. - Hongjun Wang, Jiyuan Chen, Tong Pan, Zheng Dong, Lingyu Zhang, Renhe Jiang, Xuan Song:
Evaluating the Generalization Ability of Spatiotemporal Model in Urban Scenario. - Long Wu, Xunyuan Yin, Lei Pan, Jinfeng Liu:
Smart energy management: process structure-based hybrid neural networks for optimal scheduling and economic predictive control in integrated systems. - Jiabo Wang, Elmo Xuyun Huang, Pu Duan, Huaxiong Wang, Kwok-Yan Lam:
PSA: Private Set Alignment for Secure and Collaborative Analytics on Large-Scale Data. - Ameer Hamza, Abdullah, Yong Hyun Ahn, Sungyoung Lee, Seong Tae Kim:
LLaVA Needs More Knowledge: Retrieval Augmented Natural Language Generation with Knowledge Graph for Explaining Thoracic Pathologies. - Young-Jun Lee, Byungsoo Ko, Han-Gyu Kim, Yechan Hwang, Ho-Jin Choi:
Intriguing Properties of Large Language and Vision Models. - Zimu Wang, Lei Xia, Wei Wang, Xinya Du:
Document-level Causal Relation Extraction with Knowledge-guided Binary Question Answering. - Riyaz Ahuja, Jeremy Avigad, Prasad Tetali, Sean Welleck:
ImProver: Agent-Based Automated Proof Optimization. - Peng Tang, Xin Li, Yuxin Chen, Weidong Qiu, Haochen Mei, Allison Holmes, Fenghua Li, Shujun Li:
A Comprehensive Study on GDPR-Oriented Analysis of Privacy Policies: Taxonomy, Corpus and GDPR Concept Classifiers. - Wooseong Yang, Chen Wang, Zihe Song, Weizhi Zhang, Philip S. Yu:
Item Cluster-aware Prompt Learning for Session-based Recommendation. - Tianhui Cai, Yifan Liu, Zewei Zhou, Haoxuan Ma, Seth Z. Zhao, Zhiwen Wu, Jiaqi Ma:
Driving with Regulation: Interpretable Decision-Making for Autonomous Vehicles with Retrieval-Augmented Reasoning via LLM. - Divine Joseph Appiah, Donghai Guan, Abdul Nasser Kasule, Mingqiang Wei:
WTCL-Dehaze: Rethinking Real-world Image Dehazing via Wavelet Transform and Contrastive Learning. - Aye Phyu Phyu Aung, Xinrun Wang, Ruiyu Wang, Hau Chan, Bo An, Xiaoli Li, J. Senthilnath:
Double Oracle Neural Architecture Search for Game Theoretic Deep Learning Models. - Naoto Takayanagi, Naoji Matsuhisa, Yuki Hashimoto, Yuta Sugiura:
A Stretchable Electrostatic Tactile Surface. - Ruben Becker, Davide Cenzato, Sung-Hwan Kim, Tomasz Kociumaka, Bojana Kodric, Alberto Policriti, Nicola Prezza:
On the Complexity of Computing the Co-lexicographic Width of a Regular Language. - Sarah H. Cen, Rohan Alur:
From Transparency to Accountability and Back: A Discussion of Access and Evidence in AI Auditing. - Abdul Quadir, M. Sajid, Muhammad Tanveer:
Granular Ball Twin Support Vector Machine. - Alessandro Montanari, Ashok Thangarajan, Khaldoon Al-Naimi, Andrea Ferlini, Yang Liu, Ananta Narayanan Balaji, Fahim Kawsar:
OmniBuds: A Sensory Earable Platform for Advanced Bio-Sensing and On-Device Machine Learning. - Shih-Han Chou, Shivam Chandhok, James J. Little, Leonid Sigal:
MM-R3: On (In-)Consistency of Multi-modal Large Language Models (MLLMs). - Taesun Yeom, Sangyoon Lee, Jaeho Lee:
Fast Training of Sinusoidal Neural Fields via Scaling Initialization. - Guanyu Zhou, Yibo Yan, Xin Zou, Kun Wang, Aiwei Liu, Xuming Hu:
Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality. - Junwei Hu, Michael Bewong, Selasi Kwashie, Yidi Zhang, Vincent Mwintieru Nofong, John Wondoh, Zaiwen Feng:
When GDD meets GNN: A Knowledge-driven Neural Connection for Effective Entity Resolution in Property Graphs. - Jiahuan Li, Yiqing Cao, Shujian Huang, Jiajun Chen:
Formality is Favored: Unraveling the Learning Preferences of Large Language Models on Data with Conflicting Knowledge. - Yuji Cao, Yue Chen:
A Differentially Private Energy Trading Mechanism Approaching Social Optimum. - Mónica Apellaniz Portos, Roberto Labadie Tamayo, Claudius Stemmler, Erwin Feyersinger, Andreas Babic, Franziska Bruckner, Vrääth Öhner, Matthias Zeppelzauer:
Analysis of Hybrid Compositions in Animation Film with Weakly Supervised Learning. - Xinyu Wang, Yanzheng Xiang, Lin Gui, Yulan He:
GARLIC: LLM-Guided Dynamic Progress Control with Hierarchical Weighted Graph for Long Document QA. - Maria Eugenia Cornejo, David Lobo, Jesús Medina:
Extended multi-adjoint logic programming. - Dahyun Kim, Sukyung Lee, Yungi Kim, Attapol Rutherford, Chanjun Park:
Representing the Under-Represented: Cultural and Core Capability Benchmarks for Developing Thai Large Language Models. - Lipeng Shen, Yifan Xiong, Dongyue Guo, Wei Mo, Lingyu Yu, Hui Yang, Yi Lin:
Attentive-based Multi-level Feature Fusion for Voice Disorder Diagnosis. - Chuanyang Zheng, Yihang Gao, Han Shi, Jing Xiong, Jiankai Sun, Jingyao Li, Minbin Huang, Xiaozhe Ren, Michael K. Ng, Xin Jiang, Zhenguo Li, Yu Li:
DAPE V2: Process Attention Score as Feature Map for Length Extrapolation. - Hamza Shafiq, Bumshik Lee:
Transforming Color: A Novel Image Colorization Method. - Kazumoto Nakamura, Yuji Nozawa, Yu-Chieh Lin, Kengo Nakata, Youyang Ng:
Improving Image Clustering with Artifacts Attenuation via Inference-Time Attention Engineering. - Matteo Risso, Alessia Goffi, Beatrice Alessandra Motetti, Alessio Burrello, Jean Baptiste Bove, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari, Giuseppe Maffeis:
Building Damage Assessment in Conflict Zones: A Deep Learning Approach Using Geospatial Sub-Meter Resolution Data. - Yong Liu, Guo Qin, Xiangdong Huang, Jianmin Wang, Mingsheng Long:
Timer-XL: Long-Context Transformers for Unified Time Series Forecasting. - Xiangchen Meng, Zijun Jiang, Yangdi Lyu:
HF-NTT: Hazard-Free Dataflow Accelerator for Number Theoretic Transform. - Peijie Dong, Lujun Li, Xiang Liu, Zhenheng Tang, Xuebo Liu, Qiang Wang, Xiaowen Chu:
LPZero: Language Model Zero-cost Proxy Search from Zero. - Jinxiong Lu, Shoaib Azam, Gokhan Alcan, Ville Kyrki:
Data-driven Diffusion Models for Enhancing Safety in Autonomous Vehicle Traffic Simulations. - Haokun Chen, Hang Li, Yao Zhang, Gengyuan Zhang, Jinhe Bi, Philip Torr, Jindong Gu, Denis Krompass, Volker Tresp:
FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models. - Zhiyu Zhu, Jinhui Hou, Hui Liu, Huanqiang Zeng, Junhui Hou:
Learning Efficient and Effective Trajectories for Differential Equation-based Image Restoration. - Manuel Brenner, Elias Weber, Georgia Koppe, Daniel Durstewitz:
Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data. - Kosta Dakic, Kanchana Thilakarathna, Rodrigo N. Calheiros, Teng Joon Lim:
Resource-Efficient Multiview Perception: Integrating Semantic Masking with Masked Autoencoders. - Anna Varbella, Damien Briens, Blazhe Gjorgiev, Giuseppe Alessio D'Inverno, Giovanni Sansavini:
Physics-Informed GNN for non-linear constrained optimization: PINCO a solver for the AC-optimal power flow. - Kaichen Huang, Jiahao Huo, Yibo Yan, Kun Wang, Yutao Yue, Xuming Hu:
MINER: Mining the Underlying Pattern of Modality-Specific Neurons in Multimodal Large Language Models. - Su-Su Zhang, Chuang Liu, Huijuan Wang, Yang Chen, Xiu-Xiu Zhan:
BCIM: Budget and capacity constrained influence maximization in multilayer networks. - Songning Lai, Jiayu Yang, Yu Huang, Lijie Hu, Tianlang Xue, Zhangyi Hu, Jiaxu Li, Haicheng Liao, Yutao Yue:
CAT: Concept-level backdoor ATtacks for Concept Bottleneck Models. - MoonJeong Park, Dongwoo Kim:
Taming Gradient Oversmoothing and Expansion in Graph Neural Networks. - Edgar Pacheco, Hannah Burgess:
The divide between us: Internet access among people with and without disabilities in the post-pandemic era. - Tianyi Ko, Takuya Ikeda, Hiroya Sato, Koichi Nishiwaki:
A Planar-Symmetric SO(3) Representation for Learning Grasp Detection. - Juno Prent, Masoud Mansoury:
Correcting for Popularity Bias in Recommender Systems via Item Loss Equalization. - Lucia Gordon, Nico Lang, Catherine Ressijac, Andrew Davies:
Multimodal Fusion Strategies for Mapping Biophysical Landscape Features. - Xin Mao, Feng-Lin Li, Huimin Xu, Wei Zhang, Wang Chen, Anh Tuan Luu:
As Simple as Fine-tuning: LLM Alignment via Bidirectional Negative Feedback Loss. - Sushil Phuyal, Shashwot Shrestha, Swodesh Sharma, Rachana Subedi, Anil Kumar Panjiyar, Mukesh Gautam:
An Optimized H5 Hysteresis Current Control with Clamped Diodes in Transformer-less Grid-PV Inverter. - Akira Kawabata, Saku Sugawara:
Rationale-Aware Answer Verification by Pairwise Self-Evaluation. - Elvis Dohmatob, Yunzhen Feng, Arjun Subramonian, Julia Kempe:
Strong Model Collapse. - Yang Liu, Chenchen Jing, Hengtao Li, Muzhi Zhu, Hao Chen, Xinlong Wang, Chunhua Shen:
A Simple Image Segmentation Framework via In-Context Examples. - Feng Tian, Yixuan Li, Yichao Yan, Shanyan Guan, Yanhao Ge, Xiaokang Yang:
PostEdit: Posterior Sampling for Efficient Zero-Shot Image Editing. - Johan Ulander:
Artificial Barriers for stochastic differential equations and for construction of Boundary-preserving schemes. - Navid Ashrafi, Francesco Vona, Philipp Graf, Philipp Harnisch, Sina Hinzmann, Jan-Niklas Voigt-Antons:
Single Vs Dual: Influence of the Number of Displays on User Experience within Virtually Embodied Conversational Systems. - Ao Hu, Dongkai Wang, Yong Dai, Shiyi Qi, Liangjian Wen, Jun Wang, Zhi Chen, Xun Zhou, Zenglin Xu, Jiang Duan:
TimeCNN: Refining Cross-Variable Interaction on Time Point for Time Series Forecasting. - Alexey A. Bobtsov, Romeo Ortega, M. Nicolai L. Lorenz-Meyer, Johannes Schiffer:
State Observer for the Fourth-order Model of a Salient Pole Synchronous Generator with Stator Losses: Known and Partially Unknown Input Cases. - Paul Jansonnie, Bingbing Wu, Julien Perez, Jan Peters:
Unsupervised Skill Discovery for Robotic Manipulation through Automatic Task Generation. - Shengcai Zhou, Luping Xiang, Kun Yang:
Temporal-Assisted Dynamic Beampattern Optimization in Integrated Sensing and Communication Systems. - Yu Chen, Juntong Lin, Zhichao Shu:
Mastering Chinese Chess AI (Xiangqi) Without Search. - Sandro Boccuzzo, Deborah Desirée Meyer, Ludovica Schaerf:
Art Forgery Detection using Kolmogorov Arnold and Convolutional Neural Networks. - Nicolas Baumann, Edoardo Ghignone, Cheng Hu, Benedict Hildisch, Tino Hämmerle, Alessandro Bettoni, Andrea Carron, Lei Xie, Michele Magno:
Predictive Spliner: Data-Driven Overtaking in Autonomous Racing Using Opponent Trajectory Prediction. - Bingrui Li, Wei Huang, Andi Han, Zhanpeng Zhou, Taiji Suzuki, Jun Zhu, Jianfei Chen:
On the Optimization and Generalization of Two-layer Transformers with Sign Gradient Descent. - Ziheng Liu, Jiayi Zhang, Enyu Shi, Yiyang Zhu, Derrick Wing Kwan Ng, Bo Ai:
Distributed Collaborative User Positioning for Cell-Free Massive MIMO with Multi-Agent Reinforcement Learning. - Chonghao Zhong, Chao Xu:
TeX-NeRF: Neural Radiance Fields from Pseudo-TeX Vision. - Jushi Kai, Shengyuan Hou, Yusheng Huang, Zhouhan Lin:
Leveraging Grammar Induction for Language Understanding and Generation. - Maria Sokolova, Pieter M. Blok, Angelo Mencarelli, Arjan Vroegop, Aloysius van Helmond, Gert Kootstra:
Improved detection of discarded fish species through BoxAL active learning. - Lars Henry Berge Olsen, Martin Jullum:
Improving the Sampling Strategy in KernelSHAP. - Dehong Kong, Siyuan Liang, Xiaopeng Zhu, Yuansheng Zhong, Wenqi Ren:
Patch is Enough: Naturalistic Adversarial Patch against Vision-Language Pre-training Models. - Tobias Jawecki:
The error of Chebyshev approximations on shrinking domains. - Yi Ding, Xuan He, Tuan Thanh Nguyen, Wentu Song, Zohar Yakhini, Eitan Yaakobi, Linqiang Pan, Xiaohu Tang, Kui Cai:
High Information Density and Low Coverage Data Storage in DNA with Efficient Channel Coding Schemes. - Arthur Jacot, Peter Súkeník, Zihan Wang, Marco Mondelli:
Wide Neural Networks Trained with Weight Decay Provably Exhibit Neural Collapse. - Nikolaos Vasilikopoulos, Drosakis Drosakis, Antonis A. Argyros:
D-PoSE: Depth as an Intermediate Representation for 3D Human Pose and Shape Estimation. - Lukasz Staniszewski, Katarzyna Zaleska, Kamil Deja:
Low-Rank Continual Personalization of Diffusion Models. - Walid Ben-Ameur, Alessandro Maddaloni:
Complexity results for a cops and robber game on directed graphs. - Janne Kaeder, Maurizio Vergari, Verena Biener, Tanja Kojic, Jens Grubert, Sebastian Möller, Jan-Niklas Voigt-Antons:
Working with Mixed Reality in Public: Effects of Virtual Display Layouts on Productivity, Feeling of Safety, and Social Acceptability. - Ivan Rinaldi, Nicola Fanelli, Giovanna Castellano, Gennaro Vessio:
Art2Mus: Bridging Visual Arts and Music through Cross-Modal Generation. - Michael Peleg, Shlomo Shamai:
On the Capacity of the Peak Limited and Band Limited Channel. - Milan Jirásek, Martin Horák, Emma La Malfa Ribolla, Chiara Bonvissuto:
Shear-flexible geometrically exact beam element based on finite differences. - Xiao Yang, Kai Zhou, Yuni Lai, Gaolei Li:
Defense-as-a-Service: Black-box Shielding against Backdoored Graph Models. - Chaoran Chen, Leyang Li, Luke Cao, Yanfang Ye, Tianshi Li, Yaxing Yao, Toby Jia-Jun Li:
Why am I seeing this: Democratizing End User Auditing for Online Content Recommendations. - Achilleas Santi Seisa, Sumeet Gajanan Satpute, George Nikolakopoulos:
Cloud-Based Scheduling Mechanism for Scalable and Resource-Efficient Centralized Controllers. - Martina Delgado, Marta Llopart, Eva Sarabia, Sandra Taboada, Pol Vierge, Fernando Vilariño, Joan Moya Kohler, Julieta Grimberg Golijov, Matías Bilkis:
Music-triggered fashion design: from songs to the metaverse. - Yan Xia, Corrado Monti, Barbara Keller, Mikko Kivelä:
Integrated or Segregated? User Behavior Change after Cross-Party Interactions on Reddit. - Bibiána Lajcinová, Patrik Valábek, Michal Spisiak:
Intent Classification for Bank Chatbots through LLM Fine-Tuning. - Wei Yuan, Chaoqun Yang, Guanhua Ye, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin:
FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services. - Mitsuki Morita, Satoshi Yamamori, Satoshi Yagi, Norikazu Sugimoto, Jun Morimoto:
Goal-Conditioned Terminal Value Estimation for Real-time and Multi-task Model Predictive Control. - Merlin Stein, Jamie Bernardi, Connor Dunlop:
The Role of Governments in Increasing Interconnected Post-Deployment Monitoring of AI. - Leheng Li, Weichao Qiu, Xu Yan, Jing He, Kaiqiang Zhou, Yingjie Cai, Qing Lian, Bingbing Liu, Ying-Cong Chen:
OmniBooth: Learning Latent Control for Image Synthesis with Multi-modal Instruction. - Chen Zhang, Huan Hu, Yuan Zhou, Qiyang Cao, Ruochen Liu, Wenya Wei, Elvis S. Liu:
Training Interactive Agent in Large FPS Game Map with Rule-enhanced Reinforcement Learning. - Sijie Wang, Qiyu Kang, Rui She, Kai Zhao, Yang Song, Wee Peng Tay:
PRFusion: Toward Effective and Robust Multi-Modal Place Recognition with Image and Point Cloud Fusion. - Tankred Saanum, Luca M. Schulze Buschoff, Peter Dayan, Eric Schulz:
Next state prediction gives rise to entangled, yet compositional representations of objects. - Irene Cannistraci, Emanuele Rodolà, Bastian Rieck:
Detecting and Approximating Redundant Computational Blocks in Neural Networks. - Geneviève Dusson, Mi-Song Dupuy, Ioanna-Maria Lygatsika:
A posteriori error estimates for Schrödinger operators discretized with linear combinations of atomic orbitals. - Borja Carrillo-Perez:
Real-time Ship Recognition and Georeferencing for the Improvement of Maritime Situational Awareness. - Yongming Chen, Miner Chen, Ye Zhu, Juan Pei, Siyu Chen, Yu Zhou, Yi Wang, Yifan Zhou, Hao Li, Songan Zhang:
Leverage Knowledge Graph and Large Language Model for Law Article Recommendation: A Case Study of Chinese Criminal Law. - Olgierd Zolnierczyk:
Maximizing the practical achievability of quantum annealing attacks on factorization-based cryptography. - Emanuele Sansone, Tim Lebailly, Tinne Tuytelaars:
Failure-Proof Non-Contrastive Self-Supervised Learning. - Xiaorui Sun, Jun Liu, Heng Tao Shen, Xiaofeng Zhu, Ping Hu:
On Efficient Variants of Segment Anything Model: A Survey. - Niklas Stoehr, Kevin Du, Vésteinn Snæbjarnarson, Robert West, Ryan Cotterell, Aaron Schein:
Activation Scaling for Steering and Interpreting Language Models. - Zhuo Chen, Yichao Yan, Sehngqi Liu, Yuhao Cheng, Weiming Zhao, Lincheng Li, Mengxiao Bi, Xiaokang Yang:
Revealing Directions for Text-guided 3D Face Editing. - Jianan Zhou, Yaoxin Wu, Zhiguang Cao, Wen Song, Jie Zhang, Zhiqi Shen:
Collaboration! Towards Robust Neural Methods for Routing Problems. - Zheng Chang, Shuchen Weng, Huan Ouyang, Yu Li, Si Li, Boxin Shi:
L-C4: Language-Based Video Colorization for Creative and Consistent Color. - Zhongpai Gao, Benjamin Planche, Meng Zheng, Anwesa Choudhuri, Terrence Chen, Ziyan Wu:
6DGS: Enhanced Direction-Aware Gaussian Splatting for Volumetric Rendering. - Erkin Yapici, Yusuf Islam Tek, Ertugrul Basar:
Noise-Domain Non-Orthogonal Multiple Access. - Lennart Jahn, Sarah Flügge, Dajie Zhang, Luise Poustka, Sven Bölte, Florentin Wörgötter, Peter B. Marschik, Tomas Kulvicius:
Comparison of marker-less 2D image-based methods for infant pose estimation. - Joseph James, Chenghao Xiao, Yucheng Li, Chenghua Lin:
On the Rigour of Scientific Writing: Criteria, Analysis, and Insights. - Sebastian Hirt, Andreas Höhl, Johannes Pohlodek, Joachim Schaeffer, Maik Pfefferkorn, Richard D. Braatz, Rolf Findeisen:
Safe Learning-Based Optimization of Model Predictive Control: Application to Battery Fast-Charging. - Pasquale De Marinis, Gennaro Vessio, Giovanna Castellano:
RoWeeder: Unsupervised Weed Mapping through Crop-Row Detection. - Bruno Pasqualotto Cavalar, Eli Goldin, Matthew Gray, Peter Hall:
A Meta-Complexity Characterization of Quantum Cryptography. - Jieke Shi, Zhou Yang, Junda He, Bowen Xu, Dongsun Kim, DongGyun Han, David Lo:
Finding Safety Violations of AI-Enabled Control Systems through the Lens of Synthesized Proxy Programs. - Gerrit Großmann, Sebastian Vollmer:
icon: Fast Simulation of Epidemics on Coevolving Networks. - Jasmine Bayrooti, Carl Henrik Ek, Amanda Prorok:
Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling. - Fereidoon Zangeneh, Leonard Bruns, Amit Dekel, Alessandro Pieropan, Patric Jensfelt:
Conditional Variational Autoencoders for Probabilistic Pose Regression. - Fei Liu, Yang Ai, Hui-Peng Du, Ye-Xin Lu, Rui-Chen Zheng, Zhen-Hua Ling:
Stage-Wise and Prior-Aware Neural Speech Phase Prediction. - Ajay B. S, Phani Pavan K, Madhav Rao:
MC-QDSNN: Quantized Deep evolutionary SNN with Multi-Dendritic Compartment Neurons for Stress Detection using Physiological Signals. - Nicholas DeFilippis, Shari Moskow, John C. Schotland:
Nonlinearity helps the convergence of the inverse Born series. - Huihui Cao, Manting Peng, Kailiang Wu:
Robust Discontinuous Galerkin Methods Maintaining Physical Constraints for General Relativistic Hydrodynamics. - Zezhong Wang, Siyang Hao, Inez Maria Zwetsloot, Simon Trimborn:
Social Network Datasets on Reddit Financial Discussion. - Shiwei Gao, Youmin Chen, Jiwu Shu:
Fast State Restoration in LLM Serving with HCache. - Jens-Joris Decorte, Jeroen Van Hautte, Thomas Demeester, Chris Develder:
SkillMatch: Evaluating Self-supervised Learning of Skill Relatedness. - Bin Han, Yao Zhu, Anke Schmeink, Giuseppe Caire, Hans D. Schotten:
A Semantic Model for Physical Layer Deception. - Simon Bultmann, Raphael Memmesheimer, Jan Nogga, Julian Hau, Sven Behnke:
Anticipating Human Behavior for Safe Navigation and Efficient Collaborative Manipulation with Mobile Service Robots. - Hugo Thimonier, José Lucas De Melo Costa, Fabrice Popineau, Arpad Rimmel, Bich-Liên Doan:
T-JEPA: Augmentation-Free Self-Supervised Learning for Tabular Data. - Ang He, Ximei Wu, Xiaobin Guo, Li-bin Liu:
Enhanced Multi-Robot SLAM System with Cross-Validation Matching and Exponential Threshold Keyframe Selection. - Jens-Joris Decorte, Jeroen Van Hautte, Chris Develder, Thomas Demeester:
On the Biased Assessment of Expert Finding Systems. - Ibrahim Aldarmaki, Thamar Solorio, Bhiksha Raj, Hanan Aldarmaki:
RelUNet: Relative Channel Fusion U-Net for Multichannel Speech Enhancement. - Pol G. Recasens, Ádám Horváth, Alberto Gutierrez-Torre, Jordi Torres, Josep Ll. Berral, Balázs Pejó:
FRIDA: Free-Rider Detection using Privacy Attacks. - Alex Iacob, Lorenzo Sani, Meghdad Kurmanji, William F. Shen, Xinchi Qiu, Dongqi Cai, Yan Gao, Nicholas D. Lane:
DEPT: Decoupled Embeddings for Pre-training Language Models. - Marco Bagatella, Jonas Hübotter, Georg Martius, Andreas Krause:
Active Fine-Tuning of Generalist Policies. - Amirreza Zamani, Mikael Skoglund:
Extended Functional Representation Lemma: A Tool For Privacy, Semantic Representation, Caching, and Compression Design. - Satvik Dixit, Massa Baali, Rita Singh, Bhiksha Raj:
Improving Speaker Representations Using Contrastive Losses on Multi-scale Features. - Donatien Delehelle, Darwin G. Caldwell, Fei Chen:
GARField: Addressing the visual Sim-to-Real gap in garment manipulation with mesh-attached radiance fields. - Gabriel R. Barrenechea, Tristan Pryer, Alex Trenam:
A nodally bound-preserving discontinuous Galerkin method for the drift-diffusion equation. - Stacey D. Scott, Zayn J. Abbas, Feerass Ellid, Eli-Henry Dykhne, Muhammad Muhaiminul Islam, Weam Ayad, Kristina Kacmorova, Dan Tulpan, Minglun Gong:
Systematic Literature Review of Vision-Based Approaches to Outdoor Livestock Monitoring with Lessons from Wildlife Studies. - Ziwen Yuan, Tianyi Zhang, Matthew Johnson-Roberson, Weiming Zhi:
PhotoReg: Photometrically Registering 3D Gaussian Splatting Models. - Erik Wu, Sayan Mitra:
Can LLMs plan paths with extra hints from solvers? - Wadood M. Abdul, Marco AF Pimentel, Muhammad Umar Salman, Tathagata Raha, Clément Christophe, Praveen K. Kanithi, Nasir Hayat, Ronnie Rajan, Shadab Khan:
Named Clinical Entity Recognition Benchmark. - Antonio Valerio Miceli Barone, Zhifan Sun:
A test suite of prompt injection attacks for LLM-based machine translation. - Adam Kania, Marko Mihajlovic, Sergey Prokudin, Jacek Tabor, Przemyslaw Spurek:
FreSh: Frequency Shifting for Accelerated Neural Representation Learning. - Junming Wang, Xingyu Zhang, Zebin Xing, Songen Gu, Xiaoyang Guo, Yang Hu, Ziying Song, Qian Zhang, Xiaoxiao Long, Wei Yin:
HE-Drive: Human-Like End-to-End Driving with Vision Language Models. - Kosuke Nishida, Kyosuke Nishida, Kuniko Saito:
Initialization of Large Language Models via Reparameterization to Mitigate Loss Spikes. - Hoover H. F. Yin, Jie Wang:
Sparse Degree Optimization for BATS Codes. - Benjamin Feuer, Jiawei Xu, Niv Cohen, Patrick Yubeaton, Govind Mittal, Chinmay Hegde:
SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image Classification. - Danai Triantafyllidou, Sarah Parisot, Ales Leonardis, Steven McDonagh:
Improving Object Detection via Local-global Contrastive Learning. - Haoyun Li, Ming Xiao, Kezhi Wang, Dong In Kim, Mérouane Debbah:
Large Language Model Based Multi-Objective Optimization for Integrated Sensing and Communications in UAV Networks. - Han Qi, Haocheng Yin, Heng Yang:
Control-oriented Clustering of Visual Latent Representation. - Andrew G. Lamperski, Siddharth Salapaka:
Function Gradient Approximation with Random Shallow ReLU Networks with Control Applications. - Qionghao Huang, Jili Chen:
xLSTM-FER: Enhancing Student Expression Recognition with Extended Vision Long Short-Term Memory Network. - Lijie Yang, Zhihao Zhang, Zhuofu Chen, Zikun Li, Zhihao Jia:
TidalDecode: Fast and Accurate LLM Decoding with Position Persistent Sparse Attention. - Francesco Maria Molfese, Simone Conia, Riccardo Orlando, Roberto Navigli:
ZEBRA: Zero-Shot Example-Based Retrieval Augmentation for Commonsense Question Answering. - David Heurtel-Depeiges, Anian Ruoss, Joel Veness, Tim Genewein:
Compression via Pre-trained Transformers: A Study on Byte-Level Multimodal Data. - Junming Wang, Zekai Sun, Xiuxian Guan, Tianxiang Shen, Dong Huang, Zongyuan Zhang, Tianyang Duan, Fangming Liu, Heming Cui:
HE-Nav: A High-Performance and Efficient Navigation System for Aerial-Ground Robots in Cluttered Environments. - Ziru Chen, Shijie Chen, Yuting Ning, Qianheng Zhang, Boshi Wang, Botao Yu, Yifei Li, Zeyi Liao, Chen Wei, Zitong Lu, Vishal Dey, Mingyi Xue, Frazier N. Baker, Benjamin Burns, Daniel Adu-Ampratwum, Xuhui Huang, Xia Ning, Song Gao, Yu Su, Huan Sun:
ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery. - Jérémie Bogaert, Marie-Catherine de Marneffe, Antonin Descampe, Louis Escouflaire, Cédrick Fairon, François-Xavier Standaert:
Explanation sensitivity to the randomness of large language models: the case of journalistic text classification. - Xinyu Zhou, Simin Fan, Martin Jaggi:
HyperINF: Unleashing the HyperPower of the Schulz's Method for Data Influence Estimation. - Yifan Zhu, Chengyang Luo, Tang Qian, Lu Chen, Yunjun Gao, Baihua Zheng:
DIMS: Distributed Index for Similarity Search in Metric Spaces. - Filippo A. Spinelli, Pascal Egli, Julian Nubert, Fang Nan, Thilo Bleumer, Patrick Goegler, Stephan Brockes, Ferdinand Hofmann, Marco Hutter:
Reinforcement Learning Control for Autonomous Hydraulic Material Handling Machines with Underactuated Tools. - Shawn Bowers, Yilin Xia, Bertram Ludäscher:
On the Structure of Game Provenance and its Applications. - Christopher John Allison, Haoying Zhou, Adnan Munawar, Peter Kazanzides, Juan Antonio Barragan:
Towards a Modern and Lightweight Rendering Engine for Dynamic Robotic Simulations. - Mehdi Azarafza, Fatima Idrees, Ali Ehteshami Bejnordi, Charles Steinmetz, Stefan Henkler, Achim Rettberg:
Human-in-the-loop Reasoning For Traffic Sign Detection: Collaborative Approach Yolo With Video-llava. - Nidhi Mathihalli, Audrey Wei, Giovanni Lavezzi, Peng Mun Siew, Víctor Rodríguez-Fernández, Hodei Urrutxua, Richard Linares:
DreamSat: Towards a General 3D Model for Novel View Synthesis of Space Objects. - Jianfeng Ning, Jun Zou:
Constructing probing functions for direct sampling methods for inverse scattering problems with limited-aperture data: finite space framework and deep probing network. - Alina Wróblewska:
Investigating large language models for their competence in extracting grammatically sound sentences from transcribed noisy utterances. - Yan He, Bing Tu, Puzhao Jiang, Bo Liu, Jun Li, Antonio Plaza:
IGroupSS-Mamba: Interval Group Spatial-Spectral Mamba for Hyperspectral Image Classification. - Fenia Christopoulou, Ronald Cardenas, Gerasimos Lampouras, Haitham Bou-Ammar, Jun Wang:
SparsePO: Controlling Preference Alignment of LLMs via Sparse Token Masks. - Yunlong Zhao, Xiaoheng Deng, Xiu Su, Hongyan Xu, Xiuxing Li, Yijing Liu, Shan You:
MetaDD: Boosting Dataset Distillation with Neural Network Architecture-Invariant Generalization. - Haitham S. Al-Sinani, Chris J. Mitchell:
AI-Enhanced Ethical Hacking: A Linux-Focused Experiment. - Konstantin Schürholt:
Hyper-Representations: Learning from Populations of Neural Networks. - Saleh Mulhem, Christian Ewert, Andrija Neskovic, Amrit Sharma Poudel, Christoph Hübner, Mladen Berekovic, Rainer Buchty:
Secure Software/Hardware Hybrid In-Field Testing for System-on-Chip. - Qifeng Chen, Sheng Yang, Sicong Du, Tao Tang, Peng Chen, Yuchi Huo:
LiDAR-GS:Real-time LiDAR Re-Simulation using Gaussian Splatting. - Rohan Reddy Mekala, Frederik Pahde, Simon Baur, Sneha Chandrashekar, Madeline Diep, Markus Wenzel, Eric L. Wisotzky, Galip Ümit Yolcu, Sebastian Lapuschkin, Jackie Ma, Peter Eisert, Mikael Lindvall, Adam A. Porter, Wojciech Samek:
Synthetic Generation of Dermatoscopic Images with GAN and Closed-Form Factorization. - Ayano Hiranaka, Shang-Fu Chen, Chieh-Hsin Lai, Dongjun Kim, Naoki Murata, Takashi Shibuya, Wei-Hsiang Liao, Shao-Hua Sun, Yuki Mitsufuji:
Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning. - Fan Chen, Dylan J. Foster, Yanjun Han, Jian Qian, Alexander Rakhlin, Yunbei Xu:
Assouad, Fano, and Le Cam with Interaction: A Unifying Lower Bound Framework and Characterization for Bandit Learnability. - Elias Paakkunainen, Louis Denis, Christophe Geuzaine, Paavo Rasilo, Sebastian Schöps:
Foil Conductor Model for Efficient Simulation of HTS Coils in Large Scale Applications. - Isaac Dinis, François Wildi, Damien Ségransan, Vaibhav Gupta, Alireza Karimi, Michel Tallon, Isabelle Bosc, Maud Langlois, Magali Loupias, Clémentine Bechet, Éric Thiébaut, Charles Goulas, Florian Ferreira, Anthony Boccaletti, Fabrice Vidal, Caroline Kulcsar, Henri-François Raynaud, Nicolas Galland, Markus Kasper, Julien Milli, David Mouillet, Laura Schreiber, Emiliano Diolaiti, Raffaele Gratton, Gael Chauvin:
Upgrading SPHERE with the second stage AO system SAXO+: frequency-based data-driven controller for adaptive optics. - Noboru Isobe, Kenshi Abe, Kaito Ariu:
Last Iterate Convergence in Monotone Mean Field Games. - Yuwei Hu, Runlin Lei, Xinyi Huang, Zhewei Wei, Yongchao Liu:
Scalable and Accurate Graph Reasoning with LLM-based Multi-Agents. - Navid Ashrafi, Francesco Vona, Carina Ringsdorf, Christian Hertel, Luca Toni, Sarina Kailer, Alice Bartels, Tanja Kojic, Jan-Niklas Voigt-Antons:
Enhancing Job Interview Preparation Through Immersive Experiences Using Photorealistic, AI-powered Metahuman Avatars. - Wesley Brewer, Matthias Maiterth, Vineet Kumar, Rafal P. Wojda, Sedrick Bouknight, Jesse Hines, Woong Shin, Scott Greenwood, David Grant, Wesley Williams, Feiyi Wang:
A Digital Twin Framework for Liquid-cooled Supercomputers as Demonstrated at Exascale. - Zhen Mei, Kui Cai, Long Shi, Jun Li:
Quantization Design for Resistive Memories With Multiple Reads. - Ali Ebrahimpour Boroojeny, Hari Sundaram, Varun Chandrasekaran:
LOTOS: Layer-wise Orthogonalization for Training Robust Ensembles. - Ngoc Cuong Nguyen:
Generative Reduced Basis Method. - Yifan Yang, Hao Ban, Minhui Huang, Shiqian Ma, Kaiyi Ji:
Tuning-Free Bilevel Optimization: New Algorithms and Convergence Analysis. - Timofey Efimov, Harry Dong, Megna Shah, Jeff P. Simmons, Sean Donegan, Yuejie Chi:
Leveraging Multimodal Diffusion Models to Accelerate Imaging with Side Information. - Rui Zhao, Jinyu Li, Ruchao Fan, Matt Post:
CTC-GMM: CTC guided modality matching for fast and accurate streaming speech translation. - Jihoon Yun, Chengzhang Li, Anish Arora:
PAMLR: A Passive-Active Multi-Armed Bandit-Based Solution for LoRa Channel Allocation. - Cedric Le Gentil, Raphael Falque, Teresa A. Vidal-Calleja:
Real-Time Truly-Coupled Lidar-Inertial Motion Correction and Spatiotemporal Dynamic Object Detection. - Shavbo Salehi, Hao Zhou, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci:
Smart Jamming Attack and Mitigation on Deep Transfer Reinforcement Learning Enabled Resource Allocation for Network Slicing. - Yixiang Qiu, Hongyao Yu, Hao Fang, Wenbo Yu, Bin Chen, Xuan Wang, Shu-Tao Xia, Ke Xu:
MIBench: A Comprehensive Benchmark for Model Inversion Attack and Defense. - Ziyan Jiang, Rui Meng, Xinyi Yang, Semih Yavuz, Yingbo Zhou, Wenhu Chen:
VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks. - Kun Yang, Tianyi Luo, Yanjie Dong, Aohan Li:
A Seesaw Model Attack Algorithm for Distributed Learning. - Mehrdad Farahani, Richard Johansson:
Deciphering the Interplay of Parametric and Non-parametric Memory in Retrieval-augmented Language Models. - Mengjian Hua, Mathieu Laurière, Eric Vanden-Eijnden:
A Simulation-Free Deep Learning Approach to Stochastic Optimal Control. - Xingwei Zhong, Kui Cai, Guanghui Song:
Union Bound Analysis for Spin-Torque Transfer Magnetic Random Access Memory (STT-MRAM) With Channel Quantization. - Xinyu Lin, Chaoqun Yang, Wenjie Wang, Yongqi Li, Cunxiao Du, Fuli Feng, See-Kiong Ng, Tat-Seng Chua:
Efficient Inference for Large Language Model-based Generative Recommendation. - Zachary Novack, Ge Zhu, Jonah Casebeer, Julian J. McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan:
Presto! Distilling Steps and Layers for Accelerating Music Generation. - Yuelyu Ji, Zhuochun Li, Rui Meng, Daqing He:
ReasoningRank: Teaching Student Models to Rank through Reasoning-Based Knowledge Distillation. - Bora Bozkurt, Emirhan Zor, Ferkan Yilmaz:
Unlocking Potential: Integrating Multihop, CRC, and GRAND for Wireless 5G-Beyond/6G Networks. - Dongwen Pang, Kailiang Wu:
Provably Positivity-Preserving Constrained Transport (PPCT) Second-Order Scheme for Ideal Magnetohydrodynamics. - Xingwei Zhong, Kui Cai, Peng Kang, Guanghui Song, Bin Dai:
Deep-Learning-Based Adaptive Error-Correction Decoding for Spin-Torque Transfer Magnetic Random Access Memory (STT-MRAM). - Yuelyu Ji, Wenhe Ma, Sonish Sivarajkumar, Hang Zhang, Eugene Mathew Sadhu, Zhuochun Li, Xizhi Wu, Shyam Visweswaran, Yanshan Wang:
Mitigating the Risk of Health Inequity Exacerbated by Large Language Models. - Timothy Chase Jr., Karthik Dantu:
MARs: Multi-view Attention Regularizations for Patch-based Feature Recognition of Space Terrain. - Stefano Perrella, Lorenzo Proietti, Pere-Lluís Huguet Cabot, Edoardo Barba, Roberto Navigli:
Beyond Correlation: Interpretable Evaluation of Machine Translation Metrics. - Filip Novák, Tomás Báca, Ondrej Prochazka, Martin Saska:
State Estimation of Marine Vessels Affected by Waves by Unmanned Aerial Vehicles. - Yu Tian, Sadamori Kojaku, Hiroki Sayama, Renaud Lambiotte:
Matrix-weighted networks for modeling multidimensional dynamics. - Zhijie Wang, Zhehua Zhou, Jiayang Song, Yuheng Huang, Zhan Shu, Lei Ma:
LADEV: A Language-Driven Testing and Evaluation Platform for Vision-Language-Action Models in Robotic Manipulation. - Kaiyue Wen, Zhiyuan Li, Jason Wang, David Hall, Percy Liang, Tengyu Ma:
Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape Perspective. - Qiyuan Zhang, Yufei Wang, Tiezheng Yu, Yuxin Jiang, Chuhan Wu, Liangyou Li, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Fuyuan Lyu, Chen Ma:
RevisEval: Improving LLM-as-a-Judge via Response-Adapted References. - Ge Ya Luo, Gian Mario Favero, Zhi Hao Luo, Alexia Jolicoeur-Martineau, Christopher Pal:
Beyond FVD: Enhanced Evaluation Metrics for Video Generation Quality. - Katherine Atwell, Danielle Bragg, Malihe Alikhani:
Studying and Mitigating Biases in Sign Language Understanding Models. - Youngtaek Oh, Jae-Won Cho, Dong-Jin Kim, In So Kweon, Junmo Kim:
Preserving Multi-Modal Capabilities of Pre-trained VLMs for Improving Vision-Linguistic Compositionality. - Mingxuan Liu, Zhun Zhong, Jun Li, Gianni Franchi, Subhankar Roy, Elisa Ricci:
Organizing Unstructured Image Collections using Natural Language. - Toni J. B. Liu, Nicolas Boullé, Raphaël Sarfati, Christopher J. Earls:
Density estimation with LLMs: a geometric investigation of in-context learning trajectories. - Riccardo Fogliato, Pratik Patil, Nil-Jana Akpinar, Mathew Monfort:
Precise Model Benchmarking with Only a Few Observations. - Avanika Narayan, Mayee F. Chen, Kush Bhatia, Christopher Ré:
Cookbook: A framework for improving LLM generative abilities via programmatic data generating templates. - Ehsan Futuhi, Shayan Karimi, Chao Gao, Martin Müller:
ETGL-DDPG: A Deep Deterministic Policy Gradient Algorithm for Sparse Reward Continuous Control. - Ailing Zeng, Yuhang Yang, Weidong Chen, Wei Liu:
The Dawn of Video Generation: Preliminary Explorations with SORA-like Models. - Seyed-Iman Mirzadeh, Keivan Alizadeh, Hooman Shahrokhi, Oncel Tuzel, Samy Bengio, Mehrdad Farajtabar:
GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models. - Onur Efe, Arkadas Ozakin:
SymmetryLens: A new candidate paradigm for unsupervised symmetry learning via locality and equivariance. - Taha Bouhsine, Imad El Aaroussi, Atik Faysal, Wang Huaxia:
SimO Loss: Anchor-Free Contrastive Loss for Fine-Grained Supervised Contrastive Learning. - Yongtai Zhuo, Yiqing Shen:
DiffuseReg: Denoising Diffusion Model for Obtaining Deformation Fields in Unsupervised Deformable Image Registration. - Ekaterina Sviridova, Anar Yeginbergen, Ainara Estarrona, Elena Cabrio, Serena Villata, Rodrigo Agerri:
CasiMedicos-Arg: A Medical Question Answering Dataset Annotated with Explanatory Argumentative Structures. - Rabin Adhikari, Safal Thapaliya, Manish Dhakal, Bishesh Khanal:
TuneVLSeg: Prompt Tuning Benchmark for Vision-Language Segmentation Models. - Sepehr Assadi, Soheil Behnezhad, Sayan Bhattacharya, Martín Costa, Shay Solomon, Tianyi Zhang:
Vizing's Theorem in Near-Linear Time. - Boyu Gou, Ruohan Wang, Boyuan Zheng, Yanan Xie, Cheng Chang, Yiheng Shu, Huan Sun, Yu Su:
Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI Agents. - Stanislav Morozov, Dmitry A. Zheltkov, Alexander Osinsky:
Accelerated alternating minimization algorithm for low-rank approximations in the Chebyshev norm. - Yuxin Xiao, Shujian Zhang, Wenxuan Zhou, Marzyeh Ghassemi, Sanqiang Zhao:
SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe. - Wei Wu, Kecheng Zheng, Shuailei Ma, Fan Lu, Yuxin Guo, Yifei Zhang, Wei Chen, Qingpei Guo, Yujun Shen, Zheng-Jun Zha:
LoTLIP: Improving Language-Image Pre-training for Long Text Understanding. - Oliver Simonoski, Dijana Capeska Bogatinoska:
Block MedCare: Advancing healthcare through blockchain integration. - Mourad Heddaya, Qingcheng Zeng, Chenhao Tan, Rob Voigt, Alexander Zentefis:
Causal Micro-Narratives. - Yalchin Efendiev, Wing Tat Leung, Buzheng Shan, Min Wang:
Multicontinuum splitting scheme for multiscale flow problems. - Eilam Shapira, Omer Madmon, Itamar Reinman, Samuel Joseph Amouyal, Roi Reichart, Moshe Tennenholtz:
GLEE: A Unified Framework and Benchmark for Language-based Economic Environments. - Daoan Zhang, Guangchen Lan, Dong-Jun Han, Wenlin Yao, Xiaoman Pan, Hongming Zhang, Mingxiao Li, Pengcheng Chen, Dong Yu, Christopher Brinton, Jiebo Luo:
SePPO: Semi-Policy Preference Optimization for Diffusion Alignment. - Hilton Marques Souza Santana, João Carlos Virgolino Soares, Ylenia Nisticò, Marco Antonio Meggiolaro, Claudio Semini:
Proprioceptive State Estimation for Quadruped Robots using Invariant Kalman Filtering and Scale-Variant Robust Cost Functions. - Tianzhu Ye, Li Dong, Yuqing Xia, Yutao Sun, Yi Zhu, Gao Huang, Furu Wei:
Differential Transformer. - Yukang Cao, Masoud Hadi, Liang Pan, Ziwei Liu:
GS-VTON: Controllable 3D Virtual Try-on with Gaussian Splatting. - Kaifeng Zhao, Gen Li, Siyu Tang:
DART: A Diffusion-Based Autoregressive Motion Model for Real-Time Text-Driven Motion Control. - Ya-Qi Yu, Minghui Liao, Jiwen Zhang, Jihao Wu:
TextHawk2: A Large Vision-Language Model Excels in Bilingual OCR and Grounding with 16x Fewer Tokens. - Qingchen Yu, Shichao Song, Ke Fang, Yunfeng Shi, Zifan Zheng, Hanyu Wang, Simin Niu, Zhiyu Li:
TurtleBench: Evaluating Top Language Models via Real-World Yes/No Puzzles. - Mengzhao Chen, Yi Liu, Jiahao Wang, Yi Bin, Wenqi Shao, Ping Luo:
PrefixQuant: Static Quantization Beats Dynamic through Prefixed Outliers in LLMs. - Andrew F. Luo, Jacob Yeung, Rushikesh Zawar, Shaurya Dewan, Margaret M. Henderson, Leila Wehbe, Michael J. Tarr:
Brain Mapping with Dense Features: Grounding Cortical Semantic Selectivity in Natural Images With Vision Transformers. - Kate Sanders, Reno Kriz, David Etter, Hannah Recknor, Alexander Martin, Cameron Carpenter, Jingyang Lin, Benjamin Van Durme:
Grounding Partially-Defined Events in Multimodal Data. - Fei Wang, Ninareh Mehrabi, Palash Goyal, Rahul Gupta, Kai-Wei Chang, Aram Galstyan:
Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models. - Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, Raoul de Charette:
Fine-Tuning CLIP's Last Visual Projector: A Few-Shot Cornucopia. - Jianke Zhang, Yanjiang Guo, Xiaoyu Chen, Yen-Jen Wang, Yucheng Hu, Chengming Shi, Jianyu Chen:
HiRT: Enhancing Robotic Control with Hierarchical Robot Transformers. - Amrita Singh, Snehasis Mukherjee:
Scale-Invariant Object Detection by Adaptive Convolution with Unified Global-Local Context. - Jorge Martínez Gil:
Augmenting the Interpretability of GraphCodeBERT for Code Similarity Tasks. - Sifan Wang, Tong-Rui Liu, Shyam Sankaran, Paris Perdikaris:
Micrometer: Micromechanics Transformer for Predicting Mechanical Responses of Heterogeneous Materials. - Ching-Chun Chang, Kai Gao, Shuying Xu, Anastasia Kordoni, Christopher Leckie, Isao Echizen:
Psychometrics for Hypnopaedia-Aware Machinery via Chaotic Projection of Artificial Mental Imagery. - Gautam Kishore Shahi, Tim A. Majchrzak:
Hate Speech Detection Using Cross-Platform Social Media Data In English and German Language. - Lauren Nicole Delong, Yojana Gadiya, Paola Galdi, Jacques D. Fleuriot, Daniel Domingo-Fernández:
MARS: A neurosymbolic approach for interpretable drug discovery. - Nguyen K. Phan, Guoning Chen:
Curve Segment Neighborhood-based Vector Field Exploration. - Sizhuang He, Daniel LeVine, Ivan Vrkic, Marco Francesco Bressana, David Zhang, Syed Asad Rizvi, Yangtian Zhang, Emanuele Zappala, David van Dijk:
CaLMFlow: Volterra Flow Matching using Causal Language Models. - Xiaogeng Liu, Peiran Li, Edward Suh, Yevgeniy Vorobeychik, Zhuoqing Mao, Somesh Jha, Patrick McDaniel, Huan Sun, Bo Li, Chaowei Xiao:
AutoDAN-Turbo: A Lifelong Agent for Strategy Self-Exploration to Jailbreak LLMs. - Matteo Malavasi, Gareth W. Peters, Stefan Trück, Pavel V. Shevchenko, Jiwook Jang, Georgy Sofronov:
Cyber Risk Taxonomies: Statistical Analysis of Cybersecurity Risk Classifications. - Xinnan Dai, Haohao Qu, Yifen Shen, Bohang Zhang, Qihao Wen, Wenqi Fan, Dongsheng Li, Jiliang Tang, Caihua Shan:
How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension. - Qiang Xie:
Research on short-term load forecasting model based on VMD and IPSO-ELM. - Jean-Eudes Ayilo, Mostafa Sadeghi, Romain Serizel, Xavier Alameda-Pineda:
Diffusion-based Unsupervised Audio-visual Speech Enhancement. - Tomas Bueno Momcilovic, Dian Balta, Beat Buesser, Giulio Zizzo, Mark Purcell:
Developing Assurance Cases for Adversarial Robustness and Regulatory Compliance in LLMs. - Andrew Bell, João Fonseca:
Output Scouting: Auditing Large Language Models for Catastrophic Responses. - Tomas Bueno Momcilovic, Beat Buesser, Giulio Zizzo, Mark Purcell, Dian Balta:
Towards Assuring EU AI Act Compliance and Adversarial Robustness of LLMs. - Uwazie Emmanuel Chinanu, Oluyemi Amujo:
Comparative Survey of Cyber-Threat and Attack Trends and Prediction of Future Cyber-Attack Patterns. - Dong Han, Salaheldin Mohamed, Yong Li:
ShieldDiff: Suppressing Sexual Content Generation from Diffusion Models through Reinforcement Learning. - Navneet Kaur, Lav Gupta:
An Approach To Enhance IoT Security In 6G Networks Through Explainable AI. - Abhilekha Dalal, Pascal Hitzler:
ConceptLens: from Pixels to Understanding. - Rodrigo Moreira, Rodolfo da Silva Villaça, Moisés R. N. Ribeiro, Joberto S. B. Martins, João Henrique G. M. Corrêa, Tereza Cristina M. B. Carvalho, Flávio de Oliveira Silva:
An Intelligent Native Network Slicing Security Architecture Empowered by Federated Learning. - Yilong Li, Jingyu Liu, Hao Zhang, M. Badri Narayanan, Utkarsh Sharma, Shuai Zhang, Pan Hu, Yijing Zeng, Jayaram Raghuram, Suman Banerjee:
PalmBench: A Comprehensive Benchmark of Compressed Large Language Models on Mobile Platforms. - Chang Zou, Xuyang Liu, Ting Liu, Siteng Huang, Linfeng Zhang:
Accelerating Diffusion Transformers with Token-wise Feature Caching. - Zhenwen Liang, Ye Liu, Tong Niu, Xiangliang Zhang, Yingbo Zhou, Semih Yavuz:
Improving LLM Reasoning through Scaling Inference Computation with Collaborative Verification. - Muhammad Haaris Khan, Hadrien Reynaud, Bernhard Kainz:
Noise Crystallization and Liquid Noise: Zero-shot Video Generation using Image Diffusion Models. - Ziyu Sun, Haoyang Su, En Wang, Funing Yang, Yongjian Yang, Wenbin Liu:
From Incomplete Coarse-Grained to Complete Fine-Grained: A Two-Stage Framework for Spatiotemporal Data Reconstruction. - Tyler Sours, Shivang Agarwal, Marc Cormier, Jordan Crivelli-Decker, Steffen Ridderbusch, Stephen L. Glazier, Connor P. Aiken, Aayush R. Singh, Ang Xiao, Omar Allam:
Early-Cycle Internal Impedance Enables ML-Based Battery Cycle Life Predictions Across Manufacturers. - Jinsong Liu, Dongdong Ge, Ruihao Zhu:
Reward Learning From Preference With Ties. - Guanchu Wang, Yu-Neng Chuang, Ruixiang Tang, Shaochen Zhong, Jiayi Yuan, Hongye Jin, Zirui Liu, Vipin Chaudhary, Shuai Xu, James Caverlee, Xia Hu:
Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion. - Anh Tuan Nguyen:
VPI-Mlogs: A web-based machine learning solution for applications in petrophysics. - Kishu Gupta, Vinaytosh Mishra, Aaisha Makkar:
A Global Cybersecurity Standardization Framework for Healthcare Informatics. - Yuanzhe Jin, Min Chen:
TA3: Testing Against Adversarial Attacks on Machine Learning Models. - Bart van Laatum, Eldert J. van Henten, Sjoerd Boersma:
GreenLight-Gym: A Reinforcement Learning Benchmark Environment for Greenhouse Crop Production Control. - Divya Jyoti Bajpai, Manjesh Kumar Hanawal:
Distributed Inference on Mobile Edge and Cloud: An Early Exit based Clustering Approach. - Ken Satoh, Ha-Thanh Nguyen, Francesca Toni, Randy Goebel, Kostas Stathis:
Proceedings of the First International Workshop on Next-Generation Language Models for Knowledge Representation and Reasoning (NeLaMKRR 2024). - Kamel Alrashedy, Pradyumna Tambwekar, Zulfiqar Zaidi, Megan Langwasser, Wei Xu, Matthew C. Gombolay:
Generating CAD Code with Vision-Language Models for 3D Designs. - Yuto Haneji, Taichi Nishimura, Hirotaka Kameko, Keisuke Shirai, Tomoya Yoshida, Keiya Kajimura, Koki Yamamoto, Taiyu Cui, Tomohiro Nishimoto, Shinsuke Mori:
EgoOops: A Dataset for Mistake Action Detection from Egocentric Videos with Procedural Texts. - Mahdi Ghaznavi, Hesam Asadollahzadeh, Fahimeh Hosseini Noohdani, Soroush Vafaie Tabar, Hosein Hasani, Taha Akbari Alvanagh, Mohammad Hossein Rohban, Mahdieh Soleymani Baghshah:
Trained Models Tell Us How to Make Them Robust to Spurious Correlation without Group Annotation. - Jiaming Zhang, Junhong Ye, Xingjun Ma, Yige Li, Yunfan Yang, Jitao Sang, Dit-Yan Yeung:
AnyAttack: Towards Large-scale Self-supervised Generation of Targeted Adversarial Examples for Vision-Language Models. - Tai-Lin Wu, Ti-Rong Wu, Chung-Chin Shih, Yan-Ru Ju, I-Chen Wu:
ResTNet: Defense against Adversarial Policies via Transformer in Computer Go. - Tatjana Wingarz, Anne Lauscher, Janick Edinger, Dominik Kaaser, Stefan Schulte, Mathias Fischer:
SoK: Towards Security and Safety of Edge AI. - Niklas Giesa, Mert Akgül, Sebastian Daniel Boie, Felix Balzer:
GRU-D Characterizes Age-Specific Temporal Missingness in MIMIC-IV. - Kacper Sowka, Vasile Palade, Xiaorui Jiang, Hesam Jadidbonab:
Towards the generation of hierarchical attack models from cybersecurity vulnerabilities using language models. - Dianzhi Yu, Xinni Zhang, Yankai Chen, Aiwei Liu, Yifei Zhang, Philip S. Yu, Irwin King:
Recent Advances of Multimodal Continual Learning: A Comprehensive Survey. - Francesco Riccardo Crescenzi:
Towards a Categorical Foundation of Deep Learning: A Survey. - Yifan Wang, Cheng Zhang, Yuanndon Zhuang, Mingzeng Dai, Haiming Wang, Yongming Huang:
Over-the-Air Federated Learning in Cell-Free MIMO with Long-term Power Constraint. - Jingwei Zuo, Maksim Velikanov, Dhia Eddine Rhaiem, Ilyas Chahed, Younes Belkada, Guillaume Kunsch, Hakim Hacid:
Falcon Mamba: The First Competitive Attention-free 7B Language Model. - Hao Miao, Zida Liu, Jun Gao:
BSG4Bot: Efficient Bot Detection based on Biased Heterogeneous Subgraphs. - Xinyu Zhao, Guoheng Sun, Ruisi Cai, Yukun Zhou, Pingzhi Li, Peihao Wang, Bowen Tan, Yexiao He, Li Chen, Yi Liang, Beidi Chen, Binhang Yuan, Hongyi Wang, Ang Li, Zhangyang Wang, Tianlong Chen:
Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild. - Shambhavi Mishra, T. Satyanarayana Murthy:
A Predictive and Optimization Approach for Enhanced Urban Mobility Using Spatiotemporal Data. - José Nascimento, Nathan Jacobs, Anderson Rocha:
Interactive Event Sifting using Bayesian Graph Neural Networks. - Yuwei Zhang, Tong Xia, Aaqib Saeed, Cecilia Mascolo:
RespLLM: Unifying Audio and Text with Multimodal LLMs for Generalized Respiratory Health Prediction. - Giovanni Monea, Antoine Bosselut, Kianté Brantley, Yoav Artzi:
LLMs Are In-Context Reinforcement Learners. - Fanqing Meng, Jiaqi Liao, Xinyu Tan, Wenqi Shao, Quanfeng Lu, Kaipeng Zhang, Yu Cheng, Dianqi Li, Yu Qiao, Ping Luo:
Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation. - Guangyao Zhou, Sivaramakrishnan Swaminathan, Rajkumar Vasudeva Raju, J. Swaroop Guntupalli, Wolfgang Lehrach, Joseph Ortiz, Antoine Dedieu, Miguel Lázaro-Gredilla, Kevin Murphy:
Diffusion Model Predictive Control. - Tunazzina Islam, Dan Goldwasser:
Post-hoc Study of Climate Microtargeting on Social Media Ads with LLMs: Thematic Insights and Fairness Evaluation. - Mehrdad Shafiei Dizaji:
Deep learning-based Visual Measurement Extraction within an Adaptive Digital Twin Framework from Limited Data Using Transfer Learning. - Denis Davletshin, Iana Zhura, Vladislav Cheremnykh, Mikhail Rybiyanov, Aleksey Fedoseev, Dzmitry Tsetserukou:
SharpSLAM: 3D Object-Oriented Visual SLAM with Deblurring for Agile Drones. - Carlo Bosio, Mark W. Mueller:
Synthesizing Interpretable Control Policies through Large Language Model Guided Search. - Thomas P. Zollo, Zhun Deng, Jake C. Snell, Toniann Pitassi, Richard S. Zemel:
Improving Predictor Reliability with Selective Recalibration. - Vijay Kumar Patel, Vivek Sharma, Nitin Kumar, Anoop Tiwari:
An Efficient Method for Solving Lane Emden Equation using Legendre Neural Network. - Omar Elezabi, Zongwei Wu, Radu Timofte:
Enhanced Super-Resolution Training via Mimicked Alignment for Real-World Scenes. - Jiahao Liu, YiYang Shao, Peng Zhang, Dongsheng Li, Hansu Gu, Chao Chen, Longzhi Du, Tun Lu, Ning Gu:
Constructing and Masking Preference Profile with LLMs for Filtering Discomforting Recommendation. - Yinjian Wang:
Robust Matrix Completion with Deterministic Sampling via Convex Optimization. - Rui Xue, Tong Zhao, Neil Shah, Xiaorui Liu:
Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks. - Dror Peri, Avishai Wool:
STOP! Camera Spoofing via the in-Vehicle IP Network. - Lei You, Yijun Bian, Lele Cao:
Refining Counterfactual Explanations With Joint-Distribution-Informed Shapley Towards Actionable Minimality. - Sagarika Alavilli, Annesya Banerjee, Gasser Elbanna, Annika Magaro:
Incorporating Talker Identity Aids With Improving Speech Recognition in Adversarial Environments. - Amber Cassimon, Phil Reiter, Siegfried Mercelis, Kevin Mets:
Designing a Classifier for Active Fire Detection from Multispectral Satellite Imagery Using Neural Architecture Search. - Bo-Ruei Huang, Chun-Kai Yang, Chun-Mao Lai, Dai-Jie Wu, Shao-Hua Sun:
Diffusion Imitation from Observation. - David Rügamer, Bernard X. W. Liew, Zainab Altai, Almond Stöcker:
A Functional Extension of Semi-Structured Networks. - Martin Andrae, Tomas Landelius, Joel Oskarsson, Fredrik Lindsten:
Continuous Ensemble Weather Forecasting with Diffusion models. - Sanjay Lall, Tammo Spalink:
Modeling Buffer Occupancy in bittide Systems. - Cedric Le Gentil, Raphael Falque, Teresa A. Vidal-Calleja:
2FAST-2LAMAA: A Lidar-Inertial Localisation and Mapping Framework for Non-Static Environments. - Sanjiban Choudhury, Paloma Sodhi:
Better than Your Teacher: LLM Agents that learn from Privileged AI Feedback. - Cyan Subhra Mishra, Deeksha Chaudhary, Jack Sampson, Mahmut Taylan Knademir, Chita Das:
Salient Store: Enabling Smart Storage for Continuous Learning Edge Servers. - Md Tauhidul Islam, Lei Xing:
Discovering distinctive elements of biomedical datasets for high-performance exploration. - Charbel Sakr, Brucek Khailany:
ESPACE: Dimensionality Reduction of Activations for Model Compression. - Hadush Hailu Gebrerufael, Anil Kumar Tiwari, Gaurav Neupane:
DAAL: Density-Aware Adaptive Line Margin Loss for Multi-Modal Deep Metric Learning. - Michael Chiwere, Grady B. Wright:
Barycentric interpolation formulas for the sphere and the disk. - Zihao Zhou, Rose Yu:
Can LLMs Understand Time Series Anomalies? - Lucas José Velôso de Souza, Ingrid Valverde Reis Zreik, Adrien Salem-Sermanet, Nacéra Seghouani, Lionel Pourchier:
A Deep Learning-Based Approach for Mangrove Monitoring. - Jinwen Xu, Qin Lu, Georgios B. Giannakis:
Online scalable Gaussian processes with conformal prediction for guaranteed coverage. - Claudio D. Pose, Juan I. Giribet, Gabriel Torre:
Propeller damage detection, classification and estimation in multirotor vehicles. - Jaeyeon Kim, Sehyun Kwon, Joo Young Choi, Jongho Park, Jaewoong Cho, Jason D. Lee, Ernest K. Ryu:
Task Diversity Shortens the ICL Plateau. - Dmitry Kireev, Nandu Koripally, Samuel Liu, Gabriella Coloyan Fleming, Philip Varkey, Joseph Belle, Sivasakthya Mohan, Sang Sub Han, Dong Xu, Yeonwoong Jung, Xiangfeng Duan, Jean Anne C. Incorvia, Deji Akinwande:
Skin Controlled Electronic and Neuromorphic Tattoos. - Gustavo A. Basílio, Thiago B. Pereira, Alessandro L. Koerich, Ludmila Dias, Maria das Graças da Silva Teixeira, Rafael T. Sousa, Wilian H. Hisatugu, Amanda S. Mota, Anilton S. Garcia, Marco Aurélio K. Galletta, Hermano Tavares, Thiago M. Paixão:
AI-Driven Early Mental Health Screening with Limited Data: Analyzing Selfies of Pregnant Women. - Sizhe Chen, Arman Zharmagambetov, Saeed Mahloujifar, Kamalika Chaudhuri, Chuan Guo:
Aligning LLMs to Be Robust Against Prompt Injection. - Barak Gahtan, Shany Funk, Einat Kodesh, Itay Ketko, Tsvi Kuflik, Alex M. Bronstein:
Automatic Identification and Visualization of Group Training Activities Using Wearable Data. - Arthur Amalvy, Madeleine Janickyj, Shane Mannion, Pádraig MacCarron, Vincent Labatut:
Interconnected Kingdoms: Comparing 'A Song of Ice and Fire' Adaptations Across Media Using Complex Networks. - Shubham Gupta, Isaac Neri Gomez-Sarmiento, Faez Amjed Mezdari, Mirco Ravanelli, Cem Subakan:
Dynamic HumTrans: Humming Transcription Using CNNs and Dynamic Programming. - Debabrota Basu, Sourav Chakraborty, Debarshi Chanda, Buddha Dev Das, Arijit Ghosh, Arnab Ray:
Testing Credibility of Public and Private Surveys through the Lens of Regression. - Kaiyue Wen, Huaqing Zhang, Hongzhou Lin, Jingzhao Zhang:
From Sparse Dependence to Sparse Attention: Unveiling How Chain-of-Thought Enhances Transformer Sample Efficiency. - Nicolas van Kempen, Hyuk-Je Kwon, Dung Tuan Nguyen, Emery D. Berger:
It's Not Easy Being Green: On the Energy Efficiency of Programming Languages. - Ravindran Kannan, Chiranjib Bhattacharyya, Praneeth Kacham, David P. Woodruff:
LevAttention: Time, Space, and Streaming Efficient Algorithm for Heavy Attentions. - Abhishek Panigrahi, Bingbin Liu, Sadhika Malladi, Andrej Risteski, Surbhi Goel:
Progressive distillation induces an implicit curriculum. - Lang Yin, Han Zhao:
On the Expressive Power of Tree-Structured Probabilistic Circuits. - Monu, Rohan Raju Dhanakshirur:
Herd Mentality in Augmentation - Not a Good Idea! A Robust Multi-stage Approach towards Deepfake Detection. - Chuanhao Sun, Thanos Triantafyllou, Anthos Makris, Maja Drmac, Kai Xu, Luo Mai, Mahesh K. Marina:
PH-Dropout: Practical Epistemic Uncertainty Quantification for View Synthesis. - Yepeng Liu, Yiren Song, Hai Ci, Yu Zhang, Haofan Wang, Mike Zheng Shou, Yuheng Bu:
Image Watermarks are Removable Using Controllable Regeneration from Clean Noise. - Alidar Asvarov, Andrey V. Grabovoy:
Neural machine translation system for Lezgian, Russian and Azerbaijani languages. - Chunyi Li, Jianbo Zhang, Zicheng Zhang, Haoning Wu, Yuan Tian, Wei Sun, Guo Lu, Xiaohong Liu, Xiongkuo Min, Weisi Lin, Guangtao Zhai:
R-Bench: Are your Large Multimodal Model Robust to Real-world Corruptions? - Helena Löfström, Tuwe Löfström, Johan Hallberg Szabadv'ary:
Ensured: Explanations for Decreasing the Epistemic Uncertainty in Predictions. - Weijia Xu, Nebojsa Jojic, Nicolas Le Roux:
fPLSA: Learning Semantic Structures in Document Collections Using Foundation Models. - David Nicholls, Tianyu Zhu:
High-Order Spectral Simulation of Dispersive Two-Dimensional Materials. - Alec F. Diallo, Vaishak Belle, Paul Patras:
Neural Networks Decoded: Targeted and Robust Analysis of Neural Network Decisions via Causal Explanations and Reasoning. - Elze De Vink, Akrati Saxena:
Group Fairness Metrics for Community Detection Methods in Social Networks. - Oluwafemi Odu, Alvine B. Belle, Song Wang, Segla Kpodjedo, Timothy C. Lethbridge, Hadi Hemmati:
Automatic Instantiation of Assurance Cases from Patterns Using Large Language Models. - Hong Zhang, Yue Zhao, Xing Ji, Kun Xu:
An Adaptive Reconstruction Method for Arbitrary High-Order Accuracy Using Discontinuity Feedback. - Simon Kuang, Xinfan Lin:
Nonlinear High-Pass Filters. - Shriya Jaddu, Sidh Jaddu, Camilo Gutierrez, Quincy K. Tran:
Pre-Ictal Seizure Prediction Using Personalized Deep Learning. - Ruida Zhou, Chao Tian, Suhas N. Diggavi:
Transformers learn variable-order Markov chains in-context. - Max Linnander, Dustin T. Goetz, Gregory Reardon, Elliot W. Hawkes, Yon Visell:
Tactile Displays Driven by Projected Light. - Prapti Trivedi, Aditya Gulati, Oliver Molenschot, Meghana Arakkal Rajeev, Rajkumar Ramamurthy, Keith Stevens, Tanveesh Singh Chaudhery, Jahnavi Jambholkar, James Zou, Nazneen Rajani:
Self-rationalization improves LLM as a fine-grained judge. - Jared Moore, Yejin Choi, Sydney Levine:
Intuitions of Compromise: Utilitarianism vs. Contractualism. - Mohsen Moslehpour, Yichao Lu, Pierce Chuang, Ashish Shenoy, Debojeet Chatterjee, Abhay Harpale, Srihari Jayakumar, Vikas Bhardwaj, Seonghyeon Nam, Anuj Kumar:
EgoQR: Efficient QR Code Reading in Egocentric Settings. - Bobak T. Kiani, Lukas Fesser, Melanie Weber:
Unitary convolutions for learning on graphs and groups. - Ray Congrui Yu, Sherry Wu, Jiang Gui:
Residual Kolmogorov-Arnold Network for Enhanced Deep Learning. - Maice Costa, Yalin E. Sagduyu:
Timeliness in NextG Spectrum Sharing under Jamming Attacks with Deep Learning. - Steven Golob, Sikha Pentyala, Anuar Maratkhan, Martine De Cock:
Privacy Vulnerabilities in Marginals-based Synthetic Data. - Simon Kuang, Xinfan Lin:
Structural Constraints for Physics-augmented Learning. - Igor Sfiligoi, Jeff Candy, Emily A. Belli:
Evaluation of Intel Max GPUs for CGYRO-based fusion simulations. - Ziwei Liao, Binbin Xu, Steven L. Waslander:
Toward General Object-level Mapping from Sparse Views with 3D Diffusion Priors. - Kevin Ferguson, Andrew Gillman, James Hardin, Levent Burak Kara:
Scalar Field Prediction on Meshes Using Interpolated Multi-Resolution Convolutional Neural Networks. - Jae Shin Yoon, Zhixin Shu, Mengwei Ren, Xuaner Zhang, Yannick Hold-Geoffroy, Krishna Kumar Singh, He Zhang:
Generative Portrait Shadow Removal. - Guojun Xiong, Ujwal Dinesha, Debajoy Mukherjee, Jian Li, Srinivas Shakkottai:
DOPL: Direct Online Preference Learning for Restless Bandits with Preference Feedback. - Rahul Moorthy, Volkan Isler:
VisDiff: SDF-Guided Polygon Generation for Visibility Reconstruction and Recognition. - Tao Lin, Ce Li:
Information Design with Unknown Prior. - Jakob Hartmann, Guoliang He, Eiko Yoneki:
Optimizing Tensor Computation Graphs with Equality Saturation and Monte Carlo Tree Search. - Hongjun Wang, Jiyuan Chen, Renhe Jiang, Xuan Song, Yinqiang Zheng:
On Feature Decorrelation in Cloth-Changing Person Re-identification. - Jan Mrkos, Antonín Komenda, David Fiedler, Jirí Vokrínek:
Online Dynamic Pricing for Electric Vehicle Charging Stations with Reservations. - Hanzaleh Akbari Nodehi, Viveck R. Cadambe, Mohammad Ali Maddah-Ali:
Game of Coding: Sybil Resistant Decentralized Machine Learning with Minimal Trust Assumption. - Emanuel Buttaci, Giuseppe Carlo Calafiore:
Aiding Global Convergence in Federated Learning via Local Perturbation and Mutual Similarity Information. - Maulik Bhatt, HongHao Zhen, Monroe Kennedy III, Negar Mehr:
Understanding and Imitating Human-Robot Motion with Restricted Visual Fields. - Yixuan Even Xu, Hanrui Zhang, Yu Cheng, Vincent Conitzer:
Aggregating Quantitative Relative Judgments: From Social Choice to Ranking Prediction. - Vikas Raunak, Roman Grundkiewicz, Marcin Junczys-Dowmunt:
On Instruction-Finetuning Neural Machine Translation Models. - Maulik Bhatt, Iman Askari, Yue Yu, Ufuk Topcu, Huazhen Fang, Negar Mehr:
MultiNash-PF: A Particle Filtering Approach for Computing Multiple Local Generalized Nash Equilibria in Trajectory Games. - Jiuzheng Yang, Song Tang, Yangkuiyi Zhang, Shuaifeng Li, Mao Ye, Jianwei Zhang, Xiatian Zhu:
Rethinking Weak-to-Strong Augmentation in Source-Free Domain Adaptive Object Detection. - Xinliang Frederick Zhang, Nick Beauchamp, Lu Wang:
Narrative-of-Thought: Improving Temporal Reasoning of Large Language Models via Recounted Narratives. - Tao Meng, Ninareh Mehrabi, Palash Goyal, Anil Ramakrishna, Aram Galstyan, Richard S. Zemel, Kai-Wei Chang, Rahul Gupta, Charith Peris:
Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification. - Nazmul Islam, Soomin Kim, Mohammad Pirooz, Sasha Shvetsov:
Cyber Threats to Canadian Federal Election: Emerging Threats, Assessment, and Mitigation Strategies. - Vishal Kumar, Ananias Tomboulides, Paul F. Fischer, Misun Min:
DDES Study of Confined and Unconfined NACA Wing Sections Using Spectral Elements. - Kaiyuan Chen, Nan Tian, Christian Juette, Tianshuang Qiu, Liu Ren, John Kubiatowicz, Ken Goldberg:
FogROS2-PLR: Probabilistic Latency-Reliability For Cloud Robotics. - C. Nicolò De Sabbata, Theodore R. Sumers, Thomas L. Griffiths:
Rational Metareasoning for Large Language Models. - Yue Song, T. Anderson Keller, Yisong Yue, Pietro Perona, Max Welling:
Unsupervised Representation Learning from Sparse Transformation Analysis. - Erwan Fagnou, Paul Caillon, Blaise Delattre, Alexandre Allauzen:
Chain and Causal Attention for Efficient Entity Tracking. - Taufiq Daryanto, Xiaohan Ding, Lance T. Wilhelm, Sophia Stil, Kirk McInnis Knutsen, Eugenia H. Rho:
Conversate: Supporting Reflective Learning in Interview Practice Through Interactive Simulation and Dialogic Feedback. - Dibyajyoti Chakraborty, Seung Whan Chung, Ashesh Chattopadhyay, Romit Maulik:
Improved deep learning of chaotic dynamical systems with multistep penalty losses. - Xuan Zhu, Dmitriy Bespalov, Liwen You, Ninad Kulkarni, Yanjun Qi:
TaeBench: Improving Quality of Toxic Adversarial Examples. - Seiya Kawano, Hirofumi Nonaka, Koichiro Yoshino:
ClaimBrush: A Novel Framework for Automated Patent Claim Refinement Based on Large Language Models. - David Thorne, Nathan Chan, Yanlong Ma, Christa S. Robison, Philip R. Osteen, Brett Thomas Lopez:
Submodular Optimization for Keyframe Selection & Usage in SLAM. - Long Chen, Yuzhi Huang, Junyu Dong, Qi Xu, Sam Kwong, Huimin Lu, Huchuan Lu, Chongyi Li:
Underwater Object Detection in the Era of Artificial Intelligence: Current, Challenge, and Future. - Jiawei Yao, Chuming Li, Canran Xiao:
Swift Sampler: Efficient Learning of Sampler by 10 Parameters. - Md Dilshadur Rahman, Bhavana Doppalapudi, Ghulam Jilani Quadri, Paul Rosen:
A Survey on Annotations in Information Visualization: Empirical Insights, Applications, and Challenges. - Greg Aloupis, Ahmad Biniaz, Prosenjit Bose, Jean-Lou De Carufel, David Eppstein, Anil Maheshwari, Saeed Odak, Michiel Smid, Csaba D. Tóth, Pavel Valtr:
Noncrossing Longest Paths and Cycles. - Firat Öncel, Matthias Bethge, Beyza Ermis, Mirco Ravanelli, Cem Subakan, Çagatay Yildiz:
Adaptation Odyssey in LLMs: Why Does Additional Pretraining Sometimes Fail to Improve? - Zhiyu Huang, Xinshuo Weng, Maximilian Igl, Yuxiao Chen, Yulong Cao, Boris Ivanovic, Marco Pavone, Chen Lv:
Gen-Drive: Enhancing Diffusion Generative Driving Policies with Reward Modeling and Reinforcement Learning Fine-tuning. - Hyoseo Kim, Dongyoon Han, Junsuk Choe:
NegMerge: Consensual Weight Negation for Strong Machine Unlearning. - Xueru Wen, Jie Lou, Yaojie Lu, Hongyu Lin, Xing Yu, Xinyu Lu, Ben He, Xianpei Han, Debing Zhang, Le Sun:
Rethinking Reward Model Evaluation: Are We Barking up the Wrong Tree? - Weihan Xu, Paul Pu Liang, Haven Kim, Julian J. McAuley, Taylor Berg-Kirkpatrick, Hao-Wen Dong:
TeaserGen: Generating Teasers for Long Documentaries. - Xingwei Zhong, Kui Cai, Zhen Mei, Tony Q. S. Quek:
Deep Learning-Based Decoding of Linear Block Codes for Spin-Torque Transfer Magnetic Random Access Memory (STT-MRAM). - Zilin Xiao, Hongming Zhang, Tao Ge, Siru Ouyang, Vicente Ordonez, Dong Yu:
ParallelSpec: Parallel Drafter for Efficient Speculative Decoding. - Gihyun Kwon, Jong Chul Ye:
TweedieMix: Improving Multi-Concept Fusion for Diffusion-based Image/Video Generation. - Colby Fronk, Linda R. Petzold:
Training Stiff Neural Ordinary Differential Equations with Implicit Single-Step Methods. - Dai Shi, Lequan Lin, Andi Han, Zhiyong Wang, Yi Guo, Junbin Gao:
When Graph Neural Networks Meet Dynamic Mode Decomposition. - Hiroyasu Inoue, Yasuyuki Todo:
Disruption Risk Evaluation on Large-scale Production Network with Establishments and Products. - Shubo Kang, Feiran Zhao, Keyou You:
Linear Convergence of Data-Enabled Policy Optimization for Linear Quadratic Tracking. - Ming Shan Hee, Aditi Kumaresan, Roy Ka-Wei Lee:
Bridging Modalities: Enhancing Cross-Modality Hate Speech Detection with Few-Shot In-Context Learning. - Hang Guo, Tao Dai, Zhihao Ouyang, Taolin Zhang, Yaohua Zha, Bin Chen, Shu-Tao Xia:
ReFIR: Grounding Large Restoration Models with Retrieval Augmentation. - Zheyang Xiong, Ziyang Cai, John Cooper, Albert Ge, Vasilis Papageorgiou, Zack Sifakis, Angeliki Giannou, Ziqian Lin, Liu Yang, Saurabh Agarwal, Grigorios G. Chrysos, Samet Oymak, Kangwook Lee, Dimitris Papailiopoulos:
Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superposition. - Kechi Zhang, Ge Li, Yihong Dong, Jingjing Xu, Jun Zhang, Jing Su, Yongfei Liu, Zhi Jin:
CodeDPO: Aligning Code Models with Self Generated and Verified Source Code. - Soyeon Caren Han, Feiqi Cao, Josiah Poon, Roberto Navigli:
Multimodal Large Language Models and Tunings: Vision, Language, Sensors, Audio, and Beyond. - Yunhui Jang, Jaehyung Kim, Sungsoo Ahn:
Chain-of-Thoughts for Molecular Understanding. - Michael Munn, Susan Wei:
Leveraging free energy in pretraining model selection for improved fine-tuning. - Anjali Kantharuban, Jeremiah Milbauer, Emma Strubell, Graham Neubig:
Stereotype or Personalization? User Identity Biases Chatbot Recommendations. - Shounian Deng, Chen Fei, Weiyin Fei, Xuerong Mao:
Positivity-preserving truncated Euler and Milstein methods for financial SDEs with super-linear coefficients. - Zhen Mei, Kui Cai, Long Shi, Jun Li, Li Chen, Kees A. Schouhamer Immink:
Deep Transfer Learning-based Detection for Flash Memory Channels. - Hung-Hsuan Chen:
Understanding Gradient Boosting Classifier: Training, Prediction, and the Role of γj. - Yice Cao, Chenchen Liu, Zhenhua Wu, Wenxin Yao, Liu Xiong, Jie Chen, Zhixiang Huang:
Remote Sensing Image Segmentation Using Vision Mamba and Multi-Scale Multi-Frequency Feature Fusion. - Junghun Oh, Sungyong Baik, Kyoung Mu Lee:
CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental Learning. - Jeongeun Park, Sungjoon Choi, Sangdoo Yun:
Versatile Motion Language Models for Multi-Turn Interactive Agents. - Yufan Zhuang, Chandan Singh, Liyuan Liu, Jingbo Shang, Jianfeng Gao:
Vector-ICL: In-context Learning with Continuous Vector Representations. - Vladimir Zakharov, Yegor Bugayenko:
Embracing Objects Over Statics: An Analysis of Method Preferences in Open Source Java Frameworks. - Hui Chen, Hengyu Liu, Yaqiong Li, Xuhui Fan, Zhilin Zhao, Feng Zhou, Christopher John Quinn, Longbing Cao:
Federated Neural Nonparametric Point Processes. - Emam Hossain, Md. Osman Gani, Devon Dunmire, Aneesh Subramanian, Hammad Younas:
Time Series Classification of Supraglacial Lakes Evolution over Greenland Ice Sheet. - Ranchi Zhao, Zhen Leng Thai, Yifan Zhang, Shengding Hu, Yunqi Ba, Jie Zhou, Jie Cai, Zhiyuan Liu, Maosong Sun:
DecorateLM: Data Engineering through Corpus Rating, Tagging, and Editing with Language Models. - Jieke Shi, Junda He, Zhou Yang, Dorde Zikelic, David Lo:
Synthesizing Efficient and Permissive Programmatic Runtime Shields for Neural Policies. - Lenise M. V. Rodrigues, Daniel Sadoc Menasché, Arthur Serra, Antônio Augusto de Aragão Rocha:
Minimally Intrusive Access Management to Content Delivery Networks based on Performance Models and Access Patterns. - Yongxin Guo, Jingyu Liu, Mingda Li, Xiaoying Tang, Qingbin Liu, Xi Chen:
TRACE: Temporal Grounding Video LLM via Causal Event Modeling. - Panpan Li, Kui Cai, Guanghui Song, Zhen Mei:
Sneak Path Interference-Aware Adaptive Detection and Decoding for Resistive Memory Arrays. - Venkatesh Sivaraman, Frank Elavsky, Dominik Moritz, Adam Perer:
Counterpoint: Orchestrating Large-Scale Custom Animated Visualizations. - Zhipeng Xue, Penghao Cai, Xiaojun Yuan, Xiqi Gao:
Score-Based Variational Inference for Inverse Problems. - Han Jiang, Wenyu Wang, Yiquan Zhou, Hongwu Ding, Jiacheng Xu, Jihua Zhu:
FGCL: Fine-grained Contrastive Learning For Mandarin Stuttering Event Detection. - Xueying Bai, Yifan Sun, Niranjan Balasubramanian:
Does RoBERTa Perform Better than BERT in Continual Learning: An Attention Sink Perspective. - Zishuo Wang, Wenhao Zhou, Jinglin Xu, Yuxin Peng:
SIA-OVD: Shape-Invariant Adapter for Bridging the Image-Region Gap in Open-Vocabulary Detection. - Serin Yang, Taesung Kwon, Jong Chul Ye:
ViBiDSampler: Enhancing Video Interpolation Using Bidirectional Diffusion Sampler. - Junaid Akram, Ali Anaissi:
A Blockchain-Enhanced Framework for Privacy and Data Integrity in Crowdsourced Drone Services. - Claire Chen, Shuze Liu, Shangtong Zhang:
Efficient Policy Evaluation with Safety Constraint for Reinforcement Learning. - Martin Klissarov, R. Devon Hjelm, Alexander Toshev, Bogdan Mazoure:
On the Modeling Capabilities of Large Language Models for Sequential Decision Making. - Giang Ngo, Dang Nguyen, Sunil Gupta:
Robust Transfer Learning for Active Level Set Estimation with Locally Adaptive Gaussian Process Prior. - Siqi Wang, Zhengyu Chen, Bei Li, Keqing He, Min Zhang, Jingang Wang:
Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models. - Zhan-Lun Chang, Dong-Jun Han, Rohit Parasnis, Seyyedali Hosseinalipour, Christopher G. Brinton:
Federated Learning with Dynamic Client Arrival and Departure: Convergence and Rapid Adaptation via Initial Model Construction. - Yu-Zhe Shi, Qiao Xu, Fanxu Meng, Lecheng Ruan, Qining Wang:
Abstract Hardware Grounding towards the Automated Design of Automation Systems. - Saemi Moon, Minjong Lee, Sangdon Park, Dongwoo Kim:
Holistic Unlearning Benchmark: A Multi-Faceted Evaluation for Text-to-Image Diffusion Model Unlearning. - Kaicheng Sheng, Junxiao Xue, Hui Zhang:
Edge-Cloud Collaborative Satellite Image Analysis for Efficient Man-Made Structure Recognition. - Keita Kinjo:
Diversity and Inclusion Index with Networks and Similarity: Analysis and its Application. - Harsha Kokel, Michael Katz, Kavitha Srinivas, Shirin Sohrabi:
ACPBench: Reasoning about Action, Change, and Planning. - Xihan Qin, Li Liao:
Improving Disease Comorbidity Prediction Based on Human Interactome with Biologically Supervised Graph Embedding. - Xiaosong Liu, Zengjian Lou, Zixing Yuan, Ruhan Zhao:
Embedding derivatives and derivative Area operators of Hardy spaces into Lebesgue spaces. - Fivos Kalogiannis, Jingming Yan, Ioannis Panageas:
Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem. - Andrés Páez:
Understanding with toy surrogate models in machine learning. - Jiachen Li, Qian Long, Jian Zheng, Xiaofeng Gao, Robinson Piramuthu, Wenhu Chen, William Yang Wang:
T2V-Turbo-v2: Enhancing Video Generation Model Post-Training through Data, Reward, and Conditional Guidance Design. - Carlos I. Aguirre-Velez, José Antonio Arciniega-Nevarez, Eric Dolores-Cuenca:
Convolutional neural networks applied to modification of images. - Humphrey Munn, Brendan Tidd, David Howard, Marcus Gallagher:
Whole-Body Dynamic Throwing with Legged Manipulators. - Indira Febriyanti, Youmei Fan, Kazumasa Shimari, Kenichi Matsumoto, Raula Gaikovina Kula:
How Maintainable is Proficient Code? A Case Study of Three PyPI Libraries. - Yi Jiang, Qingyang Shen, Shuzhong Lai, Shunyu Qi, Qian Zheng, Lin Yao, Yueming Wang, Gang Pan:
Copiloting Diagnosis of Autism in Real Clinical Scenarios via LLMs. - Ming Li, Ziqian Bi, Tianyang Wang, Yizhu Wen, Qian Niu, Junyu Liu, Benji Peng, Sen Zhang, Xuanhe Pan, Jiawei Xu, Jinlang Wang, Keyu Chen, Caitlyn Heqi Yin, Pohsun Feng, Ming Liu:
Deep Learning and Machine Learning with GPGPU and CUDA: Unlocking the Power of Parallel Computing. - Sevvandi Kandanaarachchi, Conrad Sanderson, Rob J. Hyndman:
Extreme Value Modelling of Feature Residuals for Anomaly Detection in Dynamic Graphs. - Hidekazu Yoshioka, Motoh Tsujimura, Yumi Yoshioka:
Fishery resources management. - June Suk Choi, Kyungmin Lee, Jongheon Jeong, Saining Xie, Jinwoo Shin, Kimin Lee:
DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing. - Qiguang Chen, Libo Qin, Jiaqi Wang, Jinxuan Zhou, Wanxiang Che:
Unlocking the Capabilities of Thought: A Reasoning Boundary Framework to Quantify and Optimize Chain-of-Thought. - Lequan Lin, Dai Shi, Andi Han, Zhiyong Wang, Junbin Gao:
Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning. - Hoyeon Lee, Hyeeun Jang, Jong-Hwan Kim, Jae-Min Kim:
A Two-Step Approach for Data-Efficient French Pronunciation Learning. - Yuzhou Gu, Nikki Lijing Kuang, Yi-An Ma, Zhao Song, Lichen Zhang:
Log-concave Sampling over a Convex Body with a Barrier: a Robust and Unified Dikin Walk. - Michal Antkiewicz, Pawel B. Myszkowski:
Balancing Pareto Front exploration of Non-dominated Tournament Genetic Algorithm (B-NTGA) in solving multi-objective NP-hard problems with constraints. - Chuansen Peng, Hanning Tang, Zhiguo Wang, Xiaojing Shen:
Network Topology Inference from Smooth Signals Under Partial Observability. - Stefan Stefanache, Lluís Pastor Pérez, Julen Costa Watanabe, Ernesto Sanchez Tejedor, Thomas Hofmann, Enis Simsar:
PixLens: A Novel Framework for Disentangled Evaluation in Diffusion-Based Image Editing with Object Detection + SAM. - Daoyu Wang, Mingyue Cheng, Zhiding Liu, Qi Liu, Enhong Chen:
Diffusion Auto-regressive Transformer for Effective Self-supervised Time Series Forecasting. - Tram Thi Minh Tran, Callum Parker:
Advancing VR Simulators for Autonomous Vehicle-Pedestrian Interactions: A Focus on Multi-Entity Scenarios. - Zi-Yuan Hu, Yiwu Zhong, Shijia Huang, Michael R. Lyu, Liwei Wang:
Enhancing Temporal Modeling of Video LLMs via Time Gating. - Morris Gu, Elizabeth A. Croft, Dana Kulic:
Demonstration Based Explainable AI for Learning from Demonstration Methods. - Willow Liu, Shuxin Qiao, Kyle Gao, Hongjie He, Michael A. Chapman, Linlin Xu, Jonathan Li:
Advancements in Road Lane Mapping: Comparative Fine-Tuning Analysis of Deep Learning-based Semantic Segmentation Methods Using Aerial Imagery. - Sisir Dhakal, Sujan Sigdel, Sandesh Prasad Paudel, Sharad Kumar Ranabhat, Nabin Lamichhane:
Mero Nagarikta: Advanced Nepali Citizenship Data Extractor with Deep Learning-Powered Text Detection and OCR. - Wenhao Wang, Xiaoyu Liang, Rui Ye, Jingyi Chai, Siheng Chen, Yanfeng Wang:
KnowledgeSG: Privacy-Preserving Synthetic Text Generation with Knowledge Distillation from Server. - Yangyang Guo, Yanjun Zhao, Sizhe Dang, Tian Zhou, Liang Sun, Yi Qian:
Less is more: Embracing sparsity and interpolation with Esiformer for time series forecasting. - David Lobo, Víctor López-Marchante, Jesús Medina:
Reducing fuzzy relation equations via concept lattices. - Xueyang Kang, Zhaoliang Luan, Kourosh Khoshelham, Bing Wang:
Equi-GSPR: Equivariant SE(3) Graph Network Model for Sparse Point Cloud Registration. - Chang Su, Jiexing Qi, He Yan, Kai Zou, Zhouhan Lin:
Enhancing SPARQL Generation by Triplet-order-sensitive Pre-training. - Meifan Zhang, Zhanhong Xie, Lihua Yin:
Private and Communication-Efficient Federated Learning based on Differentially Private Sketches. - Kuan-Ta Li, Ping-Chun Hsieh, Yu-Chih Huang:
Diminishing Exploration: A Minimalist Approach to Piecewise Stationary Multi-Armed Bandits. - Wenjie Chang, Hao Ai, Tianzhu Zhang, Lin Wang:
CUBE360: Learning Cubic Field Representation for Monocular 360 Depth Estimation for Virtual Reality. - Ashish Kumar, Laxmidhar Behera:
Thrust Microstepping via Acceleration Feedback in Quadrotor Control for Aerial Grasping of Dynamic Payload. - Ashish Kumar, Laxmidhar Behera:
Design, Localization, Perception, and Control for GPS-Denied Autonomous Aerial Grasping and Harvesting. - Cheng Chi, Xiaoyu Li, Andong Li, Yuxuan Ke, Xiaodong Li, Chengshi Zheng:
Array2BR: An End-to-End Noise-immune Binaural Audio Synthesis from Microphone-array Signals. - Guoqiang Wu, Cheng Hu, Wangjia Weng, Zhouheng Li, Yonghao Fu, Lei Xie, Hongye Su:
Learning to Race in Extreme Turning Scene with Active Exploration and Gaussian Process Regression-based MPC. - Bowen Tian, Songning Lai, Yutao Yue:
Wolf2Pack: The AutoFusion Framework for Dynamic Parameter Fusion. - Xinying Qiu, Jingshen Zhang:
Label Confidence Weighted Learning for Target-level Sentence Simplification. - Nicholas Carlini, Jorge Chávez-Saab, Anna Hambitzer, Francisco Rodríguez-Henríquez, Adi Shamir:
Polynomial Time Cryptanalytic Extraction of Deep Neural Networks in the Hard-Label Setting. - Zhonghan Chen, Ruiyuan Zhang, Xi Zhao, Xiaojun Cheng, Xiaofang Zhou:
Exploring the Meaningfulness of Nearest Neighbor Search in High-Dimensional Space. - XueTao Li, Fang Gao, Jun Yu, Shaodong Li, Feng Shuang:
Learning the Generalizable Manipulation Skills on Soft-body Tasks via Guided Self-attention Behavior Cloning Policy. - Peifa Sun, Yujae Song, Kang-Yu Gao, Yukai Wang, Changjun Zhou, Sang-Woon Jeon, Jun Zhang:
3D UAV Trajectory Planning for IoT Data Collection via Matrix-Based Evolutionary Computation. - Po-Hung Yeh, Kuang-Huei Lee, Jun-Cheng Chen:
Training-free Diffusion Model Alignment with Sampling Demons. - Fang Gao, XueTao Li, Jiabao Wang, Shengheng Ma, Jun Yu:
Guided Self-attention: Find the Generalized Necessarily Distinct Vectors for Grain Size Grading. - Zhaochun Ren, Xiangnan He, Dawei Yin, Maarten de Rijke:
Information Discovery in e-Commerce. - Yuan Jiang, Yujian Zhang, Xiaohong Su, Christoph Treude, Tiantian Wang:
StagedVulBERT: Multi-Granular Vulnerability Detection with a Novel Pre-trained Code Model. - You Qin, Wei Ji, Xinze Lan, Hao Fei, Xun Yang, Dan Guo, Roger Zimmermann, Lizi Liao:
Grounding is All You Need? Dual Temporal Grounding for Video Dialog. - Tim Schopf, Alexander Blatzheim, Nektarios Machner, Florian Matthes:
Efficient Few-shot Learning for Multi-label Classification of Scientific Documents with Many Classes. - Zhe Luo, Weina Fu, Shuai Liu, Saeed Anwar, Muhammad Saqib, Sambit Bakshi, Khan Muhammad:
Cefdet: Cognitive Effectiveness Network Based on Fuzzy Inference for Action Detection. - Guoji Tian, Chongcheng Chen, Hongyu Huang:
Comparative Analysis of Novel View Synthesis and Photogrammetry for 3D Forest Stand Reconstruction and extraction of individual tree parameters. - Linping Zhang, Yu Liu, Xueqian Wang, Gang Li, You He:
GLRT-Based Metric Learning for Remote Sensing Object Retrieval. - Mohammadreza Salehi, Jae Sung Park, Tanush Yadav, Aditya Kusupati, Ranjay Krishna, Yejin Choi, Hannaneh Hajishirzi, Ali Farhadi:
ActionAtlas: A VideoQA Benchmark for Domain-specialized Action Recognition. - Frederick Maes, Karel Van Bockstal:
Numerical Algorithms for the Reconstruction of Space-Dependent Sources in Thermoelasticity. - Yuta Shimane, Taiki Ishigaki, Sunghee Kim, Ko Yamamoto:
Viscoelasticity Estimation of Sports Prosthesis by Energy-minimizing Inverse Kinematics and Its Validation by Forward Dynamics. - Jonathan Sakunkoo, Annabella Sakunkoo:
Song Emotion Classification of Lyrics with Out-of-Domain Data under Label Scarcity. - Zirui Guo, Lianghao Xia, Yanhua Yu, Tu Ao, Chao Huang:
LightRAG: Simple and Fast Retrieval-Augmented Generation. - Zhaohui Jiang, Xuening Feng, Paul Weng, Yifei Zhu, Yan Song, Tianze Zhou, Yujing Hu, Tangjie Lv, Changjie Fan:
Reinforcement Learning From Imperfect Corrective Actions And Proxy Rewards. - Xiaoyang He, Xiaoxia Huang, Lanhua Li:
Contextual Bandits with Non-Stationary Correlated Rewards for User Association in MmWave Vehicular Networks. - Abdul Quadir, M. Sajid, Mushir Akhtar, M. Tanveer, Ponnuthurai N. Suganthan:
Enhanced Feature Based Granular Ball Twin Support Vector Machine. - Ru Lei, Lin Li, Rustam Stolkin, Bin Feng:
An Adaptive Dual-Domain Prediction Strategy based on Second-order Derivatives for Dynamic Multi-Objective Optimization. - Ngoc-Duy Tran, Hoang-Hiep Ly, Xuan-Thuan Nguyen, Thi-Thoa Mac, Anh Nguyen, Tung D. Ta:
Hybrid Gripper with Passive Pneumatic Soft Joints for Grasping Deformable Thin Objects. - Ruocheng Wang, Pei Xu, Haochen Shi, Elizabeth Schumann, C. Karen Liu:
FürElise: Capturing and Physically Synthesizing Hand Motions of Piano Performance. - Dongkun Han, Yijun Huang, Hejun Huang, Tianrui Fang:
Distributed Coordination for Multi-Vehicle Systems in the Presence of Misbehaving Vehicles. - Muhammad Laiq, Nauman Bin Ali, Jürgen Börstler, Emelie Engström:
Software analytics for software engineering: A tertiary review. - Yalan Lin, Chengcheng Wan, Yixiong Fang, Xiaodong Gu:
CodeCipher: Learning to Obfuscate Source Code Against LLMs. - Yupeng Yang, Yiwei Lyu, Yanze Zhang, Ian Gao, Wenhao Luo:
Integrating Online Learning and Connectivity Maintenance for Communication-Aware Multi-Robot Coordination. - Qi Tang, Yao Zhao, Meiqin Liu, Chao Yao:
SeeClear: Semantic Distillation Enhances Pixel Condensation for Video Super-Resolution. - Subarnaduti Paul, Manuel Brack, Patrick Schramowski, Kristian Kersting, Martin Mundt:
Core Tokensets for Data-efficient Sequential Training of Transformers. - Bolei He, Nuo Chen, Xinran He, Lingyong Yan, Zhenkai Wei, Jinchang Luo, Zhen-Hua Ling:
Retrieving, Rethinking and Revising: The Chain-of-Verification Can Improve Retrieval Augmented Generation. - Bozhou Li, Hao Liang, Yang Li, Fangcheng Fu, Hongzhi Yin, Conghui He, Wentao Zhang:
Gradual Learning: Optimizing Fine-Tuning with Partially Mastered Knowledge in Large Language Models. - Mingyi Guo, Yuyang Liu, Zongying Lin, Peixi Peng, Yonghong Tian:
CASA: Class-Agnostic Shared Attributes in Vision-Language Models for Efficient Incremental Object Detection. - Junchao Gong, Siwei Tu, Weidong Yang, Ben Fei, Kun Chen, Wenlong Zhang, Xiaokang Yang, Wanli Ouyang, Lei Bai:
PostCast: Generalizable Postprocessing for Precipitation Nowcasting via Unsupervised Blurriness Modeling. - Jun Yuan, Guohao Cai, Zhenhua Dong:
A Parameter Update Balancing Algorithm for Multi-task Ranking Models in Recommendation Systems. - Binchuan Qi:
Extended convexity and smoothness and their applications in deep learning. - Guoqing Zhang, Tianqi Liu, Wenxuan Fang, Yuhui Zheng:
Vision Transformer based Random Walk for Group Re-Identification. - Tung D. Ta:
Single Actuator Undulation Soft-bodied Robots Using A Precompressed Variable Thickness Flexible Beam. - Hongyao Yu, Yixiang Qiu, Hao Fang, Bin Chen, Sijin Yu, Bin Wang, Shu-Tao Xia, Ke Xu:
CALoR: Towards Comprehensive Model Inversion Defense. - Zineddine Tighidet, Andrea Mogini, Jiali Mei, Benjamin Piwowarski, Patrick Gallinari:
Probing Language Models on Their Knowledge Source. - Daniela Gallo, Angelica Liguori, Ettore Ritacco, Luca Caviglione, Fabrizio Durante, Giuseppe Manco:
CAP: Detecting Unauthorized Data Usage in Generative Models via Prompt Generation. - George Karantaidis, Athanasios Pantsios, Yiannis Kompatsiaris, Symeon Papadopoulos:
IncSAR: A Dual Fusion Incremental Learning Framework for SAR Target Recognition. - Dirk Väth, Ngoc Thang Vu:
A Zero-Shot approach to the Conversational Tree Search Task. - Hongbin Na, Tao Shen, Shumao Yu, Ling Chen:
Multi-Session Client-Centered Treatment Outcome Evaluation in Psychotherapy. - Alba Catalina Morales Tirado, Paul Mulholland, Miriam Fernández:
Towards an Operational Responsible AI Framework for Learning Analytics in Higher Education. - Yoonchang Sung, Shahaf S. Shperberg, Qi Wang, Peter Stone:
Effort Allocation for Deadline-Aware Task and Motion Planning: A Metareasoning Approach. - Eunjae Lee, Minhee Kang, Yoojin Choi, Heejin Ahn:
A GPT-based Decision Transformer for Multi-Vehicle Coordination at Unsignalized Intersections. - Aapo Hyvärinen:
A noise-corrected Langevin algorithm and sampling by half-denoising. - Oleg Filatov, Jan Ebert, Jiangtao Wang, Stefan Kesselheim:
Time Transfer: On Optimal Learning Rate and Batch Size In The Infinite Data Limit. - Xander Wilcke, Rick J. Mourits, Auke Rijpma, Richard Zijdeman:
Bottom-up Anytime Discovery of Generalised Multimodal Graph Patterns for Knowledge Graphs. - Zhenan Feng, Ehsan Nekouei:
Privacy-aware Fully Model-Free Event-triggered Cloud-based HVAC Control. - Andrew D. Cummins, David G. M. Mitchell, Erik Perrins:
Spectrally Efficient LDPC Codes For IRIG-106 Waveforms via Random Puncturing. - Fanhu Zeng, Fei Zhu, Haiyang Guo, Xu-Yao Zhang, Cheng-Lin Liu:
ModalPrompt:Dual-Modality Guided Prompt for Continual Learning of Large Multimodal Models. - Kata Naszádi, Frans A. Oliehoek, Christof Monz:
Communicating with Speakers and Listeners of Different Pragmatic Levels. - Sajjad Baghaee, Elif Uysal:
A3L-FEC: Age-Aware Application Layer Forward Error Correction Flow Control. - Ruben Hias, Weihong Wang, Jan Vanhoof, Tom Van Cutsem:
A Scalable State Sharing Protocol for Low-Resource Validator Nodes in Blockchain Networks. - Sofya Dymchenko, Abhishek Purandare, Bruno Raffin:
MelissaDL x Breed: Towards Data-Efficient On-line Supervised Training of Multi-parametric Surrogates with Active Learning. - Yunfei Yang, Zhenghao Qi, Honghuan Wu, Qi Song, Tieyao Zhang, Hao Li, Yimin Tu, Kaiqiao Zhan, Ben Wang:
Enhancing Playback Performance in Video Recommender Systems with an On-Device Gating and Ranking Framework. - Guy Kaplan, Matanel Oren, Yuval Reif, Roy Schwartz:
From Tokens to Words: On the Inner Lexicon of LLMs. - Yixiao Qian, Weizhen Li, Yan Tan, Qinghai Zhang:
A fourth-order, multigrid cut-cell method for solving Poisson's equation in three-dimensional irregular domains. - Subhransu S. Bhattacharjee, Dylan Campbell, Rahul Shome:
Unobserved Object Detection using Generative Models. - Guy Shani:
Heuristics for Partially Observable Stochastic Contingent Planning. - Jérôme Bolte, Ryan Boustany, Edouard Pauwels, Andrei I. Purica:
A second-order-like optimizer with adaptive gradient scaling for deep learning. - Amir Hossein Kargaran, Ali Modarressi, Nafiseh Nikeghbal, Jana Diesner, François Yvon, Hinrich Schütze:
MEXA: Multilingual Evaluation of English-Centric LLMs via Cross-Lingual Alignment. - Junxiong Tong, Mingjia Yin, Hao Wang, Qiushi Pan, Defu Lian, Enhong Chen:
MDAP: A Multi-view Disentangled and Adaptive Preference Learning Framework for Cross-Domain Recommendation. - Guy Kornowski, Daogao Liu, Kunal Talwar:
Improved Sample Complexity for Private Nonsmooth Nonconvex Optimization. - Félix do Carmo, Diptesh Kanojia:
Edit Distances and Their Applications to Downstream Tasks in Research and Commercial Contexts. - Quancheng Qian, Xiaoyi Wei, Zonghao Zhang, Jiaxin Tu, Yueqi Zhang, Taixian Hou, Xiaofei Gao, Peng Zhai, Lihua Zhang:
A Robust Quadruped Robot with Twisting Waist for Flexible Motions. - Hariom Dhungana, Suresh Kumar Mukhiya, Pragya Dhungana, Benjamin Karic:
Deep learning-based fault identification in condition monitoring. - Zhuopeng Xu, Yujie Li, Cheng Liu, Ning Gui:
Ordering-Based Causal Discovery for Linear and Nonlinear Relations. - Luis Miguel Díaz, Samuel Yanes Luis, Alejandro Mendoza Barrionuevo, Dame Seck Diop, Manuel Perales Esteve, Alejandro Casado, Sergio Toral, Daniel Gutiérrez-Reina:
Towards an Autonomous Surface Vehicle Prototype for Artificial Intelligence Applications of Water Quality Monitoring. - Yichen Song, Yunbo Wang, Xiaokang Yang:
DimOL: Dimensional Awareness as A New 'Dimension' in Operator Learning. - Xuming Ran, Juntao Yao, Yusong Wang, Mingkun Xu, Dianbo Liu:
Brain-inspired continual pre-trained learner via silent synaptic consolidation. - Yiling Zhang, Erkut Akdag, Egor Bondarev, Peter H. N. de With:
MTFL: Multi-Timescale Feature Learning for Weakly-Supervised Anomaly Detection in Surveillance Videos. - Maya Briani, Gabriella Puppo, Giuseppe Visconti:
On implicit time methods and discontinuous Galerkin space reconstruction for conservation laws. - Ben Jourdan, Gregory Schwartzman:
Mini-Batch Kernel k-means. - Naman Chhibbar, Jugal Kalita:
Automatic Summarization of Long Documents. - Yiwen Ye, Ziyang Chen, Jianpeng Zhang, Yutong Xie, Yong Xia:
MedUniSeg: 2D and 3D Medical Image Segmentation via a Prompt-driven Universal Model. - Antonio A. Casilli:
Digital Labor and the Inconspicuous Production of Artificial Intelligence. - Matan Levy, Yoni Choukroun, Lior Wolf:
Accelerating Error Correction Code Transformers. - Vansh Agrawal, Pratham Singla, Amitoj Singh Miglani, Shivank Garg, Ayush Mangal:
Give me a hint: Can LLMs take a hint to solve math problems? - Javier Solís-García, Belén Vega-Márquez, Juan A. Nepomuceno, Isabel A. Nepomuceno-Chamorro:
TIMBA: Time series Imputation with Bi-directional Mamba Blocks and Diffusion models. - Nicholas Babaev, Kirill Tamogashev, Azat Saginbaev, Ivan Shchekotov, Hanbin Bae, Hosang Sung, Won-Jun Lee, Hoon-Young Cho, Pavel Andreev:
FINALLY: fast and universal speech enhancement with studio-like quality. - Côme Annicchiarico, Fabien Lotte, Jérémie Mattout:
Bayesian model of individual learning to control a motor imagery BCI. - Ayush Singh, Mansi Gupta, Shivank Garg, Abhinav Kumar, Vansh Agrawal:
Beyond Captioning: Task-Specific Prompting for Improved VLM Performance in Mathematical Reasoning. - Marcin Chrapek, Anjo Vahldiek-Oberwagner, Marcin Spoczynski, Scott Constable, Mona Vij, Torsten Hoefler:
Fortify Your Foundations: Practical Privacy and Security for Foundation Model Deployments In The Cloud. - Yuta Sahara, Akihiro Miki, Yoshimoto Ribayashi, Shunnosuke Yoshimura, Kento Kawaharazuka, Kei Okada, Masayuki Inaba:
Construction of Musculoskeletal Simulation for Shoulder Complex with Ligaments and Its Validation via Model Predictive Control. - Shintaro Inoue, Kento Kawaharazuka, Temma Suzuki, Sota Yuzaki, Kei Okada, Masayuki Inaba:
CubiX: Portable Wire-Driven Parallel Robot Connecting to and Utilizing the Environment. - Zhiwei Wang, Haoqi He, Lutan Zhao, Peinan Li, Zhihao Li, Dan Meng, Rui Hou:
Chameleon: An Efficient FHE Scheme Switching Acceleration on GPUs. - Takara Taniguchi, Ryosuke Furuta:
Learning Gaussian Data Augmentation in Feature Space for One-shot Object Detection in Manga. - Saad Attieh, Nguyen Dang, Christopher Jefferson, Ian Miguel, Peter Nightingale:
Athanor: Local Search over Abstract Constraint Specifications. - Yifei Xing, Xiangyuan Lan, Ruiping Wang, Dongmei Jiang, Wenjun Huang, Qingfang Zheng, Yaowei Wang:
EMMA: Empowering Multi-modal Mamba with Structural and Hierarchical Alignment. - Chao Sun, Yaobo Liang, Yaming Yang, Shilin Xu, Tianmeng Yang, Yunhai Tong:
RLRF4Rec: Reinforcement Learning from Recsys Feedback for Enhanced Recommendation Reranking. - Paul Streli, Mark Richardson, Fadi Botros, Shugao Ma, Robert Wang, Christian Holz:
TouchInsight: Uncertainty-aware Rapid Touch and Text Input for Mixed Reality from Egocentric Vision. - Elissa Mhanna, Mohamad Assaad:
Single Point-Based Distributed Zeroth-Order Optimization with a Non-Convex Stochastic Objective Function. - Sumit Adak, Sukanta Das:
Maximal Length Cellular Automata : A Survey. - Kangtao Lv, Huangsen Cao, Kainan Tu, Yihuai Xu, Zhimeng Zhang, Xin Ding, Yongwei Wang:
Hyper Adversarial Tuning for Boosting Adversarial Robustness of Pretrained Large Vision Models. - Yang Li, Jie Ma, Miguel Ballesteros, Yassine Benajiba, Graham Horwood:
Active Evaluation Acquisition for Efficient LLM Benchmarking. - Gergely Benko, Gergely Biczók:
The Cyber Alliance Game: How Alliances Influence Cyber-Warfare. - Yang Jin, Zhicheng Sun, Ningyuan Li, Kun Xu, Hao Jiang, Nan Zhuang, Quzhe Huang, Yang Song, Yadong Mu, Zhouchen Lin:
Pyramidal Flow Matching for Efficient Video Generative Modeling. - Trinh Van Chien, Bui Trong Duc, Ho Viet Duc Luong, Huynh Thi Thanh Binh, Hien Quoc Ngo, Symeon Chatzinotas:
Active and Passive Beamforming Designs for SER Minimization in RIS-Assisted MIMO Systems. - Zhiwei Lin, Yongtao Wang, Zhi Tang:
Training-Free Open-Ended Object Detection and Segmentation via Attention as Prompts. - Yidi Li, Hong Liu, Bing Yang:
STNet: Deep Audio-Visual Fusion Network for Robust Speaker Tracking. - Tao Ren, Zishi Zhang, Jinyang Jiang, Guanghao Li, Zeliang Zhang, Mingqian Feng, Yijie Peng:
FLOPS: Forward Learning with OPtimal Sampling. - Hugo Garcia-Cotte, Dorra Mellouli, Abdul Rehman, Li Wang, David G. Stork:
Deep neural network-based detection of counterfeit products from smartphone images. - Xudong Xie, Liang Yin, Hao Yan, Yang Liu, Jing Ding, Minghui Liao, Yuliang Liu, Wei Chen, Xiang Bai:
PDF-WuKong: A Large Multimodal Model for Efficient Long PDF Reading with End-to-End Sparse Sampling. - Tobias Pfandzelter, David Bermbach:
Komet: A Serverless Platform for Low-Earth Orbit Edge Services. - Shiguang Wu, Yaqing Wang, Yatao Bian, Quanming Yao:
ConML: A Universal Meta-Learning Framework with Task-Level Contrastive Learning. - Andreas Loukas, Karolis Martinkus, Ed Wagstaff, Kyunghyun Cho:
Generalizing to any diverse distribution: uniformity, gentle finetuning and rebalancing. - Bozhou Zhang, Nan Song, Li Zhang:
DeMo: Decoupling Motion Forecasting into Directional Intentions and Dynamic States. - Bowen Jin, Jinsung Yoon, Jiawei Han, Sercan Ö. Arik:
Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG. - Charalambos Tzamos, Viktor Kocur, Yaqing Ding, Torsten Sattler, Zuzana Kukelova:
Are Minimal Radial Distortion Solvers Necessary for Relative Pose Estimation? - Cabrel Teguemne Fokam, Khaleelulla Khan Nazeer, Lukas König, David Kappel, Anand Subramoney:
Asynchronous Stochastic Gradient Descent with Decoupled Backpropagation and Layer-Wise Updates. - Tirthankar Mittra:
Utilizing Lyapunov Exponents in designing deep neural networks. - Moritz Feuerpfeil, Marco Cipriano, Gerard de Melo:
Vector Grimoire: Codebook-based Shape Generation under Raster Image Supervision. - Ani Hovhannisyan, Youmei Fan, Gema Rodriguez-Perez, Raula Gaikovina Kula:
Linking Code and Documentation Churn: Preliminary Analysis. - Dongxu Li, Yudong Liu, Haoning Wu, Yue Wang, Zhiqi Shen, Bowen Qu, Xinyao Niu, Guoyin Wang, Bei Chen, Junnan Li:
Aria: An Open Multimodal Native Mixture-of-Experts Model. - Thomas Jantos, Martin Scheiber, Christian Brommer, Eren Allak, Stephan Weiss, Jan Steinbrener:
AIVIO: Closed-loop, Object-relative Navigation of UAVs with AI-aided Visual Inertial Odometry. - Paul Streli, Jiaxi Jiang, Andreas Fender, Manuel Meier, Hugo Romat, Christian Holz:
TapType: Ten-finger text entry on everyday surfaces via Bayesian inference. - Wei Liu, Zhiying Deng, Zhongyu Niu, Jun Wang, Haozhao Wang, YuanKai Zhang, Ruixuan Li:
Is the MMI Criterion Necessary for Interpretability? Degenerating Non-causal Features to Plain Noise for Self-Rationalization. - Suprio Bhar, Mrinmay Biswas, Mangala Prasad:
Finite Element Approximations of Stochastic Linear Schrödinger equation driven by additive Wiener noise. - Nan Song, Bozhou Zhang, Xiatian Zhu, Li Zhang:
Motion Forecasting in Continuous Driving. - Ibrahim Tijjani, Rohit Kumar, Melya Boukheddimi, Mathias Trampler, Shivesh Kumar, Frank Kirchner:
Sitting, Standing and Walking Control of the Series-Parallel Hybrid Recupera-Reha Exoskeleton. - Jerven T. Bolleman, Vincent Emonet, Adrian M. Altenhoff, Amos Bairoch, Marie-Claude Blatter, Alan J. Bridge, Severine Duvaud, Elisabeth Gasteiger, Dmitry Kuznetsov, Sébastien Moretti, Pierre-André Michel, Anne Morgat, Marco Pagni, Nicole Redaschi, Monique Zahn-Zabal, Tarcisio Mendes de Farias, Ana Claudia Sima:
A large collection of bioinformatics question-query pairs over federated knowledge graphs: methodology and applications. - Xiaohu Zhu, Qian Li, Lizhen Cui, Yongkang Liu:
Large Language Model Enhanced Text-to-SQL Generation: A Survey. - Xinyi Liu, Tianyi Zhang, Matthew Johnson-Roberson, Weiming Zhi:
SplaTraj: Camera Trajectory Generation with Semantic Gaussian Splatting. - Yunkee Chae, Woosung Choi, Yuhta Takida, Junghyun Koo, Yukara Ikemiya, Zhi Zhong, Kin Wai Cheuk, Marco A. Martínez Ramírez, Kyogu Lee, Wei-Hsiang Liao, Yuki Mitsufuji:
VRVQ: Variable Bitrate Residual Vector Quantization for Audio Compression. - Alessandro Benfenati, Alfio Ferrara, Alessio Marta, Davide Riva, Elisabetta Rocchetti:
Unveiling Transformer Perception by Exploring Input Manifolds. - Saqib Javed, Hieu Le, Mathieu Salzmann:
QT-DoG: Quantization-aware Training for Domain Generalization. - Richard Löscher, Michael Reichelt, Olaf Steinbach:
Efficient Solution of State-Constrained Distributed Parabolic Optimal Control Problems. - Miyu Oba, Yohei Oseki, Akiyo Fukatsu, Akari Haga, Hiroki Ouchi, Taro Watanabe, Saku Sugawara:
Can Language Models Induce Grammatical Knowledge from Indirect Evidence? - Yihong Chen, Xiangxiang Xu, Yao Lu, Pontus Stenetorp, Luca Franceschi:
Jet Expansions of Residual Computation. - Michael Kirchhof, James Thornton, Pierre Ablin, Louis Béthune, Eugène Ndiaye, Marco Cuturi:
Sparse Repellency for Shielded Generation in Text-to-image Diffusion Models. - Junya Shiraishi, Anders E. Kalør, Israel Leyva-Mayorga, Federico Chiariotti, Petar Popovski, Hiroyuki Yomo:
Content-based Wake-up for Energy-efficient and Timely Top-k IoT Sensing Data Retrieval. - Ziyang Chen, Mustafa Doga Dogan, Josef B. Spjut, Kaan Aksit:
SpecTrack: Learned Multi-Rotation Tracking via Speckle Imaging. - Yuejun Guo, Seifeddine Bettaieb:
Data Quality Issues in Vulnerability Detection Datasets. - Lu Zhong, Sen Pei, Jianxi Gao:
Patient flow networks absorb healthcare stress during pandemic crises. - Vivek Sujan, Junchaun Fan, Gurneesh Jatana, Ruixiao Sun:
Nationally Scalable Hydrogen Fueling Infrastructure Deployment: A Megaregion Analysis and Optimization Approach. - Cheng Zhang, Jeffrey T. H. Wong, Can Xiao, George A. Constantinides, Yiren Zhao:
QERA: an Analytical Framework for Quantization Error Reconstruction. - Haadia Amjad, Kilian Goeller, Steffen Seitz, Carsten Knoll, Muhammad Naseer Bajwa, Ronald Tetzlaff, Muhammad Imran Malik:
Block Induced Signature Generative Adversarial Network (BISGAN): Signature Spoofing Using GANs and Their Evaluation. - Thomas Bläsius, Jean-Pierre von der Heydt, Maximilian Katzmann, Nikolai Maas:
Weighted Embeddings for Low-Dimensional Graph Representation. - Sebastian Barzaghi, Francesco Paolucci, Francesca Tomasi, Fabio Vitali:
KwicKwocKwac, a tool for rapidly generating concordances and marking up a literary text. - Huangsen Cao, Yongwei Wang, Yinfeng Liu, Sixian Zheng, Kangtao Lv, Zhimeng Zhang, Bo Zhang, Xin Ding, Fei Wu:
HyperDet: Generalizable Detection of Synthesized Images by Generating and Merging A Mixture of Hyper LoRAs. - Rik Adriaensen, Jaron Maene:
Extracting Finite State Machines from Transformers. - Neil Natarajan, Sruthi Viswanathan, Reuben Binns, Nigel Shadbolt:
"Diversity is Having the Diversity": Unpacking and Designing for Diversity in Applicant Selection. - Vahid Hashemi, Jan Kretínský, Sabine Rieder, Torsten Schön, Jan Vorhoff:
Gaussian-Based and Outside-the-Box Runtime Monitoring Join Forces. - Jinhu Lü, Kunrui Ze, Shuoyu Yue, Kexin Liu, Wei Wang, Guibin Sun:
Concurrent-Learning Based Relative Localization in Shape Formation of Robot Swarms. - Boyuan Cao, Jiaxin Ye, Yujie Wei, Hongming Shan:
AP-LDM: Attentive and Progressive Latent Diffusion Model for Training-Free High-Resolution Image Generation. - Guanghui Song, Kui Cai, Ying Li, Kees A. Schouhamer Immink:
Maximum Achievable Rate of Resistive Random-Access Memory Channels by Mutual Information Spectrum Analysis. - Dominik Gond, Jan-Tobias Sohns, Heike Leitte, Hans Hasse, Fabian Jirasek:
Hierarchical Matrix Completion for the Prediction of Properties of Binary Mixtures. - Vincent Emonet, Jerven T. Bolleman, Severine Duvaud, Tarcisio Mendes de Farias, Ana Claudia Sima:
LLM-based SPARQL Query Generation from Natural Language over Federated Knowledge Graphs. - Christoffer Olling Back, Jakob Grue Simonsen:
Posets and Bounded Probabilities for Discovering Order-inducing Features in Event Knowledge Graphs. - Aurélien Buchet, Cristel Pelsser:
An Analysis of QUIC Connection Migration in the Wild. - Alex Mulrooney, Austin J. Brockmeier:
Contrastive Learning to Fine-Tune Feature Extraction Models for the Visual Cortex. - Maliha Ashraf, Alexandre Chapiro, Rafal K. Mantiuk:
Resolution limit of the eye: how many pixels can we see? - Nilanjan Chakraborty, Prahlad Narasimhan Kasthurirangan, Joseph S. B. Mitchell, Linh Nguyen, Michael Perk:
Provable Methods for Searching with an Imperfect Sensor. - Angela van Sprang, Erman Acar, Willem H. Zuidema:
Enforcing Interpretability in Time Series Transformers: A Concept Bottleneck Framework. - Yihuai Xu, Yongwei Wang, Yifei Bi, Huangsen Cao, Zhouhan Lin, Yu Zhao, Fei Wu:
Training-free LLM-generated Text Detection by Mining Token Probability Sequences. - Jiale Chen, Dingling Yao, Adeel Pervez, Dan Alistarh, Francesco Locatello:
Scalable Mechanistic Neural Networks. - Parvaneh Nikrou, Sajjad Pirboudaghi:
Seepage analysis and control of the Sahand rockfill dam drainage using instrumental data. - Javier Cembrano, Max Klimm, Martin Knaack:
Packing a Knapsack with Items Owned by Strategic Agents. - Julien Calbert, Antoine Girard, Raphaël M. Jungers:
Classification of simulation relations for symbolic control. - Geoffrey Cideron, Andrea Agostinelli, Johan Ferret, Sertan Girgin, Romuald Elie, Olivier Bachem, Sarah Perrin, Alexandre Ramé:
Diversity-Rewarded CFG Distillation. - Frederik J. Zuiderveen Borgesius, Hadi Asghari, Noël Bangma, Jaap-Henk Hoepman:
The GDPR's Rules on Data Breaches: Analysing Their Rationales and Effects. - Noah Ziems, Zhihan Zhang, Meng Jiang:
TOWER: Tree Organized Weighting for Evaluating Complex Instructions. - Lang Qin, Yao Zhang, Hongru Liang, Adam Jatowt, Zhenglu Yang:
Listen to the Patient: Enhancing Medical Dialogue Generation with Patient Hallucination Detection and Mitigation. - Esteban Garces Arias, Meimingwei Li, Christian Heumann, Matthias Aßenmacher:
Decoding Decoded: Understanding Hyperparameter Effects in Open-Ended Text Generation. - Hao Ma, Tianyi Hu, Zhiqiang Pu, Boyin Liu, Xiaolin Ai, Yanyan Liang, Min Chen:
Coevolving with the Other You: Fine-Tuning LLM with Sequential Cooperative Multi-Agent Reinforcement Learning. - Siwei Xia, Xueqi Hu, Li Sun, Qingli Li:
RefineStyle: Dynamic Convolution Refinement for StyleGAN. - Runxuan Miao, Selin S. Aslan, Erdem Koyuncu, Doga Gürsoy:
Distributed Tomographic Reconstruction with Quantization. - Ahmed E. Hassan, Gustavo Ansaldi Oliva, Dayi Lin, Boyuan Chen, Zhen Ming Jiang:
Towards AI-Native Software Engineering (SE 3.0): A Vision and a Challenge Roadmap. - Corban Rivera, Grayson Byrd, William Paul, Tyler Feldman, Meghan Booker, Emma Holmes, David Handelman, Bethany Kemp, Andrew Badger, Aurora Schmidt, Krishna Murthy Jatavallabhula, Celso M. de Melo, Lalithkumar Seenivasan, Mathias Unberath, Rama Chellappa:
ConceptAgent: LLM-Driven Precondition Grounding and Tree Search for Robust Task Planning and Execution. - Zi-Hao Zhou, Siyuan Fang, Zi-Jing Zhou, Tong Wei, Yuanyu Wan, Min-Ling Zhang:
Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition. - Siddhant Ray, Xi Jiang, Jack Luo, Nick Feamster, Junchen Jiang:
SwiftQueue: Optimizing Low-Latency Applications with Swift Packet Queuing. - Oguz Arslan, Artun Akdogan, Mustafa Doga Dogan:
RealityCraft: An In-Situ CAD+CAM Interface for Novices via Scene-Aware Augmented Reality. - Kovvuri Sai Gopal Reddy, Bodduluri Saran, A. Mudit Adityaja, Saurabh J. Shigwan, Nitin Kumar, Snehasis Mukherjee:
UnSeGArmaNet: Unsupervised Image Segmentation using Graph Neural Networks with Convolutional ARMA Filters. - Hui Xu, Jun Wei Wu, Zhen Jie Qi, Hao Tian Wu, Rui Wen Shao, Qiang Cheng, Jieao Zhu, Linglong Dai, Tie Jun Cui:
A physics-based perspective for understanding and utilizing spatial resources of wireless channels. - Alexis Allemann, Àlex R. Atrio, Andrei Popescu-Belis:
Optimizing the Training Schedule of Multilingual NMT using Reinforcement Learning. - Giovanni Messuti, ortensia Amoroso, Ferdinando Napolitano, Mariarosaria Falanga, Paolo Capuano, Silvia Scarpetta:
Uncertainty estimation via ensembles of deep learning models and dropout layers for seismic traces. - Wenyu Huang, Guancheng Zhou, Hongru Wang, Pavlos Vougiouklis, Mirella Lapata, Jeff Z. Pan:
Less is More: Making Smaller Language Models Competent Subgraph Retrievers for Multi-hop KGQA. - Xin Jin, Liaoruxing Zhang, Chenyu Fan, Wenbo Yuan:
Learning AND-OR Templates for Professional Photograph Parsing and Guidance. - Yize Chen, Zhiyuan Yan, Siwei Lyu, Baoyuan Wu:
X2-DFD: A framework for eXplainable and eXtendable Deepfake Detection. - Alberto Huertas Celdrán, Chao Feng, Sabyasachi Banik, Gérôme Bovet, Gregorio Martínez Pérez, Burkhard Stiller:
De-VertiFL: A Solution for Decentralized Vertical Federated Learning. - Divyat Mahajan, Jannes Gladrow, Agrin Hilmkil, Cheng Zhang, Meyer Scetbon:
Zero-Shot Learning of Causal Models. - Jiangfan Deng, Zhuang Jia, Zhaoxue Wang, Xiang Long, Daniel K. Du:
Towards Unsupervised Eye-Region Segmentation for Eye Tracking. - Mingle Xu, Jaehwan Lee, Sook Yoon, Dong Sun Park:
Adaptive Label Smoothing for Out-of-Distribution Detection. - Oswin Aichholzer, Anna Brötzner, Daniel Perz, Patrick Schnider:
Flips in Odd Matchings. - Barak Gahtan, Robert J. Shahla, Reuven Cohen, Alex M. Bronstein:
Estimating the Number of HTTP/3 Responses in QUIC Using Deep Learning. - Bishwo Prakash Pokharel, Naresh Kshetri:
blockLAW: Blockchain Technology for Legal Automation and Workflow - Cyber Ethics and Cybersecurity Platforms. - Artjom Joosen, Ahmed Hassan, Martin Asenov, Rajkarn Singh, Luke Nicholas Darlow, Jianfeng Wang, Qiwen Deng, Adam Barker:
Serverless Cold Starts and Where to Find Them. - Sha Guo, Zhuo Chen, Yang Zhao, Ning Zhang, Xiaotong Li, Lingyu Duan:
Toward Scalable Image Feature Compression: A Content-Adaptive and Diffusion-Based Approach. - Zhenglin Wan, Xingrui Yu, David Mark Bossens, Yueming Lyu, Qing Guo, Flint Xiaofeng Fan, Ivor W. Tsang:
Quality Diversity Imitation Learning. - Yu Shang, Yu Li, Keyu Zhao, Likai Ma, Jiahe Liu, Fengli Xu, Yong Li:
AgentSquare: Automatic LLM Agent Search in Modular Design Space. - Muhammad Jehanzeb Mirza, Mengjie Zhao, Zhuoyuan Mao, Sivan Doveh, Wei Lin, Paul Gavrikov, Michael Dorkenwald, Shiqi Yang, Saurav Jha, Hiromi Wakaki, Yuki Mitsufuji, Horst Possegger, Rogério Feris, Leonid Karlinsky, James R. Glass:
GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models. - Zhaoyi Meng, Jiale Zhang, Jiaqi Guo, Wansen Wang, Wenchao Huang, Jie Cui, Hong Zhong, Yan Xiong:
Detecting Android Malware by Visualizing App Behaviors from Multiple Complementary Views. - Chilam Cheang, Guangzeng Chen, Ya Jing, Tao Kong, Hang Li, Yifeng Li, Yuxiao Liu, Hongtao Wu, Jiafeng Xu, Yichu Yang, Hanbo Zhang, Minzhao Zhu:
GR-2: A Generative Video-Language-Action Model with Web-Scale Knowledge for Robot Manipulation. - Kazii Botashev, Vladislav A. Pyatov, Gonzalo Ferrer, Stamatios Lefkimmiatis:
GSLoc: Visual Localization with 3D Gaussian Splatting. - Lei Li, Yuanxin Liu, Linli Yao, Peiyuan Zhang, Chenxin An, Lean Wang, Xu Sun, Lingpeng Kong, Qi Liu:
Temporal Reasoning Transfer from Text to Video. - Phu Pham, Wentian Zhao, Kun Wan, Yu-Jhe Li, Zeliang Zhang, Daniel Miranda, Ajinkya Kale, Chenliang Xu:
Quadratic Is Not What You Need For Multimodal Large Language Models. - Haozhe Chen, Ang Li, Ethan Che, Tianyi Peng, Jing Dong, Hongseok Namkoong:
QGym: Scalable Simulation and Benchmarking of Queuing Network Controllers. - Kaiwen Zhou, Chengzhi Liu, Xuandong Zhao, Anderson Compalas, Dawn Song, Xin Eric Wang:
Multimodal Situational Safety. - Quang Anh Nguyen, Nadi Tomeh, Mustapha Lebbah, Thierry Charnois, Hanene Azzag, Santiago Cordoba Muñoz:
Manual Verbalizer Enrichment for Few-Shot Text Classification. - Hennes Hajduk, Dmitri Kuzmin, Gert Lube, Philipp Öffner:
Locally energy-stable finite element schemes for incompressible flow problems: Design and analysis for equal-order interpolations. - Shihao Xia, Mengting He, Linhai Song, Yiying Zhang:
SC-Bench: A Large-Scale Dataset for Smart Contract Auditing. - Humberto Giuri Calente, Renato A. Krohling:
CBIDR: A novel method for information retrieval combining image and data by means of TOPSIS applied to medical diagnosis. - Thomas Steinke, Milad Nasr, Arun Ganesh, Borja Balle, Christopher A. Choquette-Choo, Matthew Jagielski, Jamie Hayes, Abhradeep Guha Thakurta, Adam D. Smith, Andreas Terzis:
The Last Iterate Advantage: Empirical Auditing and Principled Heuristic Analysis of Differentially Private SGD. - Mengze Hong, Di Jiang, Yuanfeng Song, Chen Jason Zhang:
Neural-Bayesian Program Learning for Few-shot Dialogue Intent Parsing. - Junhyung Park, Patrick Blöbaum, Shiva Prasad Kasiviswanathan:
Benign Overfitting for Regression with Trained Two-Layer ReLU Networks. - Kosei Isomoto, Akinobu Mizutani, Fumiya Matsuzaki, Hikaru Sato, Ikuya Matsumoto, Kosei Yamao, Takuya Kawabata, Tomoya Shiba, Yuga Yano, Atsuki Yokota, Daiju Kanaoka, Hiromasa Yamaguchi, Kazuya Murai, Kim Minje, Lu Shen, Mayo Suzuka, Moeno Anraku, Naoki Yamaguchi, Satsuki Fujimatsu, Shoshi Tokuno, Tadataka Mizo, Tomoaki Fujino, Yuuki Nakadera, Yuka Shishido, Yusuke Nakaoka, Yuichiro Tanaka, Takashi Morie, Hakaru Tamukoh:
Hibikino-Musashi@Home 2024 Team Description Paper. - Shiyu Miao, Delong Chen, Fan Liu, Chuanyi Zhang, Yanhui Gu, Shengjie Guo, Jun Zhou:
Prompting DirectSAM for Semantic Contour Extraction in Remote Sensing Images. - Guiyang Hou, Wenqi Zhang, Yongliang Shen, Zeqi Tan, Sihao Shen, Weiming Lu:
Entering Real Social World! Benchmarking the Theory of Mind and Socialization Capabilities of LLMs from a First-person Perspective. - Yi Liang, You Wu, Honglei Zhuang, Li Chen, Jiaming Shen, Yiling Jia, Zhen Qin, Sumit Sanghai, Xuanhui Wang, Carl Yang, Michael Bendersky:
Integrating Planning into Single-Turn Long-Form Text Generation. - Federico Barbero, Alex Vitvitskyi, Christos Perivolaropoulos, Razvan Pascanu, Petar Velickovic:
Round and Round We Go! What makes Rotary Positional Encodings useful? - Adarsh Kumarappan, Mo Tiwari, Peiyang Song, Robert Joseph George, Chaowei Xiao, Anima Anandkumar:
LeanAgent: Lifelong Learning for Formal Theorem Proving. - Adil Zouitine, Matthieu Geist, Emmanuel Rachelson:
Solving robust MDPs as a sequence of static RL problems. - Michael K. Cohen, Marcus Hutter, Yoshua Bengio, Stuart Russell:
RL, but don't do anything I wouldn't do. - Inês Oliveira e Silva, Sérgio M. Jesus, Hugo M. Ferreira, Pedro Saleiro, Inês Sousa, Pedro Bizarro, Carlos Soares:
Fair-OBNC: Correcting Label Noise for Fairer Datasets. - Zaid Khan, Elias Stengel-Eskin, Jaemin Cho, Mohit Bansal:
DataEnvGym: Data Generation Agents in Teacher Environments with Student Feedback. - Jonas A. Actor, Anthony Gruber, Eric C. Cyr, Nathaniel Trask:
Gaussian Variational Schemes on Bounded and Unbounded Domains. - Davide Salvi, Daniele Ugo Leonzio, Antonio Giganti, Claudio Eutizi, Sara Mandelli, Paolo Bestagini, Stefano Tubaro:
POLIPHONE: A Dataset for Smartphone Model Identification from Audio Recordings. - Abel Jansma, Pedro A. M. Mediano, Fernando E. Rosas:
The Fast Möbius Transform: An algebraic approach to information decomposition. - Akshat Kannan:
A Timeline and Analysis for Representation Plasticity in Large Language Models. - Tianyuan Zhang, Zhengfei Kuang, Haian Jin, Zexiang Xu, Sai Bi, Hao Tan, He Zhang, Yiwei Hu, Milos Hasan, William T. Freeman, Kai Zhang, Fujun Luan:
RelitLRM: Generative Relightable Radiance for Large Reconstruction Models. - Sangli Teng, Kaito Iwasaki, William Clark, Xihang Yu, Anthony M. Bloch, Ram Vasudevan, Maani Ghaffari:
A Generalized Metriplectic System via Free Energy and System~Identification via Bilevel Convex Optimization. - Jeremy Andrew Irvin, Emily Ruoyu Liu, Joyce Chuyi Chen, Ines Dormoy, Jinyoung Kim, Samar Khanna, Zhuo Zheng, Stefano Ermon:
TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data. - Marius-Constantin Dinu:
Parameter Choice and Neuro-Symbolic Approaches for Deep Domain-Invariant Learning. - Alexandre Binninger, Olga Sorkine-Hornung:
SD-πXL: Generating Low-Resolution Quantized Imagery via Score Distillation. - Rutav Shah, Albert Yu, Yifeng Zhu, Yuke Zhu, Roberto Martín-Martín:
BUMBLE: Unifying Reasoning and Acting with Vision-Language Models for Building-wide Mobile Manipulation. - Allen Nie, Yi Su, Bo Chang, Jonathan N. Lee, Ed H. Chi, Quoc V. Le, Minmin Chen:
EVOLvE: Evaluating and Optimizing LLMs For Exploration. - Venkata Naren Devarakonda, Raktim Gautam Goswami, Ali Umut Kaypak, Naman Patel, Rooholla Khorrambakht, Prashanth Krishnamurthy, Farshad Khorrami:
OrionNav: Online Planning for Robot Autonomy with Context-Aware LLM and Open-Vocabulary Semantic Scene Graphs. - Qiming Wu:
Using Crank-Nikolson Scheme to Solve the Korteweg-de Vries (KdV) Equation. - Jiazi Bu, Pengyang Ling, Pan Zhang, Tong Wu, Xiaoyi Dong, Yuhang Zang, Yuhang Cao, Dahua Lin, Jiaqi Wang:
BroadWay: Boost Your Text-to-Video Generation Model in a Training-free Way. - Yinong Oliver Wang, Eileen Li, Jinqi Luo, Zhaoning Wang, Fernando De la Torre:
Unsupervised Model Diagnosis. - Jiawei Mao, Xiaoke Huang, Yunfei Xie, Yuanqi Chang, Mude Hui, Bingjie Xu, Yuyin Zhou:
Story-Adapter: A Training-free Iterative Framework for Long Story Visualization. - Shengji Tang, Weicai Ye, Peng Ye, Weihao Lin, Yang Zhou, Tao Chen, Wanli Ouyang:
HiSplat: Hierarchical 3D Gaussian Splatting for Generalizable Sparse-View Reconstruction. - Leo Zhang, Kianoosh Ashouritaklimi, Yee Whye Teh, Rob Cornish:
SymDiff: Equivariant Diffusion via Stochastic Symmetrisation. - Zili Wang, Christopher Allum, Sean B. Andersson, Roberto Tron:
BoxMap: Efficient Structural Mapping and Navigation. - Sulin Liu, Juno Nam, Andrew Campbell, Hannes Stärk, Yilun Xu, Tommi S. Jaakkola, Rafael Gómez-Bombarelli:
Think While You Generate: Discrete Diffusion with Planned Denoising. - Anna Beer, Pascal Weber, Lukas Miklautz, Collin Leiber, Walid Durani, Christian Böhm, Claudia Plant:
SHADE: Deep Density-based Clustering. - Christopher A. Choquette-Choo, Arun Ganesh, Saminul Haque, Thomas Steinke, Abhradeep Thakurta:
Near Exact Privacy Amplification for Matrix Mechanisms. - Bostjan Bubnic, Zeljko Kovacevic, Tomaz Kosar:
Can metacognition predict your success in solving problems? An exploratory case study in programming. - Wei Huang, Yue Liao, Jianhui Liu, Ruifei He, Haoru Tan, Shiming Zhang, Hongsheng Li, Si Liu, Xiaojuan Qi:
MC-MoE: Mixture Compressor for Mixture-of-Experts LLMs Gains More. - Christian Nickel, Laura Schrewe, Lucie Flek:
Probing the Robustness of Theory of Mind in Large Language Models. - Xiyan Fu, Anette Frank:
The Mystery of Compositional Generalization in Graph-based Generative Commonsense Reasoning. - Stephane Aroca-Ouellette, Natalie Mackraz, Barry-John Theobald, Katherine Metcalf:
PREDICT: Preference Reasoning by Evaluating Decomposed preferences Inferred from Candidate Trajectories. - Kawisorn Kamtue, José M. F. Moura, Orathai Sangpetch:
Is Pontryagin's Maximum Principle all you need? Solving optimal control problems with PMP-inspired neural networks. - Gongxin Yao, Xinyang Li, Luowei Fu, Yu Pan:
Monocular Visual Place Recognition in LiDAR Maps via Cross-Modal State Space Model and Multi-View Matching. - Ghaith Hammouri, Kemal Derya, Berk Sunar:
Non-Halting Queries: Exploiting Fixed Points in LLMs. - Anmol Kabra, Mina Karzand, Tosca Lechner, Nathan Srebro, Serena Lutong Wang:
Score Design for Multi-Criteria Incentivization. - Jiafan He, Huizhuo Yuan, Quanquan Gu:
Accelerated Preference Optimization for Large Language Model Alignment. - Dasharadhan Mahalingam, Aditya Patankar, Riddhiman Laha, Srinivasan Lakshminarayanan, Sami Haddadin, Nilanjan Chakraborty:
A General Formulation for Path Constrained Time-Optimized Trajectory Planning with Environmental and Object Contacts. - Botong Zhang, Shuo Li, Osbert Bastani:
Conformal Structured Prediction. - Ronaldo E Silva Vieira, Anderson Rocha Tavares, Luiz Chaimowicz:
A Taxonomy of Collectible Card Games from a Game-Playing AI Perspective. - Ali Gorji, Andisheh Amrollahi, Andreas Krause:
Amortized SHAP values via sparse Fourier function approximation. - Divyat Mahajan, Mohammad Pezeshki, Ioannis Mitliagkas, Kartik Ahuja, Pascal Vincent:
Compositional Risk Minimization. - Ruosen Li, Ziming Luo, Xinya Du:
Fine-grained Hallucination Detection and Mitigation in Language Model Mathematical Reasoning. - Simona Reale, Pietro Di Stasio, Francesco Mauro, Alessandro Sebastianelli, Paolo Gamba, Silvia Liberata Ullo:
Benchmarking of a new data splitting method on volcanic eruption data. - Chuqi Chen, Qixuan Zhou, Yahong Yang, Yang Xiang, Tao Luo:
Quantifying Training Difficulty and Accelerating Convergence in Neural Network-Based PDE Solvers. - Mkululi Sikosana, Oluwaseun Ajao, Sean Maudsley-Barton:
A Comparative Study of Hybrid Models in Health Misinformation Text Classification. - Jakub Pokrywka, Piotr Wierzchon, Kornel Weryszko, Krzysztof Jassem:
Temporal Image Caption Retrieval Competition - Description and Results. - Yiran Tao, Guixiu Qiao, Dan Ding, Zackory Erickson:
Incremental Learning for Robot Shared Autonomy. - Arash Tavakoli, Sina Ghiassian, Nemanja Rakicevic:
Learning in complex action spaces without policy gradients. - Erin C. Carson, Ieva Dauzickaite:
Mixed precision sketching for least-squares problems and its application in GMRES-based iterative refinement. - Omanshu Thapliyal, Shanelle G. Clarke, Inseok Hwang:
An Algorithm for Distributed Computation of Reachable Sets for Multi-Agent Systems. - Sergio Caucao, Aashi Dalal, Ivan Yotov:
A Banach space formulation for the fully dynamic Navier-Stokes-Biot coupled problem. - Connor W. Magoon, Fengyu Yang, Noam Aigerman, Shahar Z. Kovalsky:
Differentiation Through Black-Box Quadratic Programming Solvers. - Dzenan Lapandic, Fengze Xie, Christos K. Verginis, Soon-Jo Chung, Dimos V. Dimarogonas, Bo Wahlberg:
Meta-Learning Augmented MPC for Disturbance-Aware Motion Planning and Control of Quadrotors. - Rajmund Nagy, Hendric Voß, Youngwoo Yoon, Taras Kucherenko, Teodor Nikolov, Thanh Hoang-Minh, Rachel McDonnell, Stefan Kopp, Michael Neff, Gustav Eje Henter:
Towards a GENEA Leaderboard - an Extended, Living Benchmark for Evaluating and Advancing Conversational Motion Synthesis. - Krishna Aswani, Huilin Lu, Pranav Patankar, Priya Dhalwani, Iris Tan, Jayant Ganeshmohan, Simon Lacasse:
Auto-Evolve: Enhancing Large Language Model's Performance via Self-Reasoning Framework. - Abhishek Madan, David I. W. Levin:
Local Surface Parameterizations via Geodesic Splines. - Zhuoran Zhang, Yongxiang Li, Zijian Kan, Keyuan Cheng, Lijie Hu, Di Wang:
Locate-then-edit for Multi-hop Factual Recall under Knowledge Editing. - Ondrej Cepek, Jelena Glisic:
Boolean Nearest Neighbor Language in the Knowledge Compilation Map. - Jenna C. Fromer, Runzhong Wang, Mrunali Manjrekar, Austin Tripp, José Miguel Hernández-Lobato, Connor W. Coley:
Batched Bayesian optimization with correlated candidate uncertainties. - Buse Çarik, Kaike Ping, Xiaohan Ding, Eugenia H. Rho:
Exploring Large Language Models Through a Neurodivergent Lens: Use, Challenges, Community-Driven Workarounds, and Concerns. - Geevarghese Philip, Shrinidhi Teganahally Sridhara:
Faster Algorithms for Graph Monopolarity. - Shenbin Qian, Constantin Orasan, Diptesh Kanojia, Félix do Carmo:
Are Large Language Models State-of-the-art Quality Estimators for Machine Translation of User-generated Content? - Wenhan Zhang, Meiyu Zhong, Ravi Tandon, Marwan Krunz:
Filtered Randomized Smoothing: A New Defense for Robust Modulation Classification. - Yuhang Yao, Yuan Li, Xinyi Fan, Junhao Li, Kay Liu, Weizhao Jin, Srivatsan Ravi, Philip S. Yu, Carlee Joe-Wong:
FedGraph: A Research Library and Benchmark for Federated Graph Learning. - Michal Wlodarczyk:
Losing Treewidth In The Presence Of Weights. - Md Sakib Galib Sourav, Liang Cheng:
Work-in-Progress: Traded Control Transfer for Managing Real-Time Sensor Uncertainties in Autonomous Vehicle. - Paul Gajewski, Dominik Zurek, Marcin Pietron, Kamil Faber:
Solving Multi-Goal Robotic Tasks with Decision Transformer. - Reyhaneh Abdolazimi, Shengmin Jin, Pramod K. Varshney, Reza Zafarani:
Harnessing the Power of Noise: A Survey of Techniques and Applications. - Gaël Gendron, Michael Witbrock, Gillian Dobbie:
Robust Domain Generalisation with Causal Invariant Bayesian Neural Networks. - Rui Abreu, Vijayaraghavan Murali, Peter C. Rigby, Chandra Shekhar Maddila, Weiyan Sun, Jun Ge, Kaavya Chinniah, Audris Mockus, Megh Mehta, Nachiappan Nagappan:
Moving Faster and Reducing Risk: Using LLMs in Release Deployment. - Angelos Ragkousis, Sonali Parbhoo:
Tree-Based Leakage Inspection and Control in Concept Bottleneck Models. - Bowen Chen, Haoyu Ji, Zhiyong Wang, Benjamin Filtjens, Chunzhuo Wang, Weihong Ren, Bart Vanrumste, Honghai Liu:
Language-Assisted Human Part Motion Learning for Skeleton-Based Temporal Action Segmentation. - Paul Gajewski, Antonio Galiza Cerdeira Gonzalez, Bipin Indurkhya:
Context-Aware Command Understanding for Tabletop Scenarios. - Daozhi Han, Xiaoming Wang:
Long-time stable SAV-BDF2 numerical schemes for the forced Navier-Stokes equations. - Tianyi Zhang, Junda Su, Oscar Wu, Zhaozhuo Xu, Anshumali Shrivastava:
SpaLLM: Unified Compressive Adaptation of Large Language Models with Sketching. - Kaitao Meng, Kawon Han, Christos Masouros, Lajos Hanzo:
Network-level ISAC: Performance Analysis and Optimal Antenna-to-BS Allocation. - Zijie Huang, Wanjia Zhao, Jingdong Gao, Ziniu Hu, Xiao Luo, Yadi Cao, Yuanzhou Chen, Yizhou Sun, Wei Wang:
Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling. - Zhishuai Guo, Tianbao Yang:
Communication-Efficient Federated Group Distributionally Robust Optimization. - Hemank Lamba, Anton Abilov, Ke Zhang, Elizabeth M. Olson, Henry K. Dambanemuya, João C. Bárcia, David S. Batista, Christina Wille, Aoife Cahill, Joel R. Tetreault, Alex Jaimes:
HumVI: A Multilingual Dataset for Detecting Violent Incidents Impacting Humanitarian Aid. - Anushya Subbiah, Steffen Rendle, Vikram Aggarwal:
Improved Estimation of Ranks for Learning Item Recommenders with Negative Sampling. - Milad Farjadnasab, Shahin Sirouspour:
Cooperative and Asynchronous Transformer-based Mission Planning for Heterogeneous Teams of Mobile Robots. - Siyuan Li, Juanxi Tian, Zedong Wang, Luyuan Zhang, Zicheng Liu, Weiyang Jin, Yang Liu, Baigui Sun, Stan Z. Li:
Unveiling the Backbone-Optimizer Coupling Bias in Visual Representation Learning. - Mateus Karvat Camara, Sidney Givigi:
Adver-City: Open-Source Multi-Modal Dataset for Collaborative Perception Under Adverse Weather Conditions. - Sebastian Pagel, Michal Jirásek, Leroy Cronin:
Validation of the Scientific Literature via Chemputation Augmented by Large Language Models. - Wiera Bielajewa, Michelle Baxter, Perumal Nithiarasu:
A novel, finite-element-based framework for sparse data solution reconstruction and multiple choices. - Hesham Alyamani, Yucheng Yang, David Noyce, Madhav Chitturi, Kassem Fawaz:
Evaluating the Impact of Warning Modalities and False Alarms in Pedestrian Crossing Alert System. - Gaël Gendron, Joze M. Rozanec, Michael Witbrock, Gillian Dobbie:
Counterfactual Causal Inference in Natural Language with Large Language Models. - Weichen Huang:
Multimodal Representation Learning using Adaptive Graph Construction. - Mirelle Bueno, Roberto de Alencar Lotufo, Rodrigo Nogueira:
MLissard: Multilingual Long and Simple Sequential Reasoning Benchmarks. - Matthew X. Burns, Qingyuan Hou, Michael C. Huang:
Provable Accuracy Bounds for Hybrid Dynamical Optimization and Sampling. - Aku Kammonen, Anamika Pandey, Erik von Schwerin, Raúl Tempone:
Adaptive Random Fourier Features Training Stabilized By Resampling With Applications in Image Regression. - Zhaojing Yang, Miru Jun, Jeremy Tien, Stuart J. Russell, Anca D. Dragan, Erdem Biyik:
Trajectory Improvement and Reward Learning from Comparative Language Feedback. - Wenhao Li, Yudong Xu, Scott Sanner, Elias Boutros Khalil:
Tackling the Abstraction and Reasoning Corpus with Vision Transformers: the Importance of 2D Representation, Positions, and Objects. - Kevin Ferguson, Yu-Hsuan Chen, Yiming Chen, Andrew Gillman, James Hardin, Levent Burak Kara:
Topology-Agnostic Graph U-Nets for Scalar Field Prediction on Unstructured Meshes. - Yingyu Lin, Yuxing Huang, Wenqin Liu, Haoran Deng, Ignavier Ng, Kun Zhang, Mingming Gong, Yi-An Ma, Biwei Huang:
A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery. - Shaan Pakala, Bryce Graw, Dawon Ahn, Tam Dinh, Mehnaz Tabassum Mahin, Vassilis J. Tsotras, Jia Chen, Evangelos E. Papalexakis:
Automating Data Science Pipelines with Tensor Completion. - Christopher Klammer, Michael Kaess:
BEVLoc: Cross-View Localization and Matching via Birds-Eye-View Synthesis. - Xavier Mootoo, Alan A. Díaz-Montiel, Milad Lankarany, Hina Tabassum:
Stochastic Sparse Sampling: A Framework for Variable-Length Medical Time Series Classification. - Jillian Fisher, Shangbin Feng, Robert Aron, Thomas Richardson, Yejin Choi, Daniel W. Fisher, Jennifer Pan, Yulia Tsvetkov, Katharina Reinecke:
Biased AI can Influence Political Decision-Making. - Maxim Stavtsev, Yegor Bugayenko:
Evaluating the Dependency Between Cyclomatic Complexity and Response For Class. - Hossein Resani, Behrooz Nasihatkon:
MIRACLE 3D: Memory-efficient Integrated Robust Approach for Continual Learning on Point Clouds via Shape Model construction. - Sourjyadip Ray, Kushal Gupta, Soumi Kundu, Payal Arvind Kasat, Somak Aditya, Pawan Goyal:
ERVQA: A Dataset to Benchmark the Readiness of Large Vision Language Models in Hospital Environments. - Michael J. Kenney, Katerina G. Malollari, Sergei V. Kalinin, Maxim A. Ziatdinov:
Predicting Battery Capacity Fade Using Probabilistic Machine Learning Models With and Without Pre-Trained Priors. - Nga Pham, Do Minh Kha, Tran Vu Dai, Pham Ngoc Hung, Anh Nguyen-Duc:
FAIREDU: A Multiple Regression-Based Method for Enhancing Fairness in Machine Learning Models for Educational Applications. - Christopher Fifty, Ronald G. Junkins, Dennis Duan, Aniketh Iger, Jerry W. Liu, Ehsan Amid, Sebastian Thrun, Christopher Ré:
Restructuring Vector Quantization with the Rotation Trick. - Jordan Miner, John E. Ortega:
NLP Case Study on Predicting the Before and After of the Ukraine-Russia and Hamas-Israel Conflicts. - Luis Ramos, Moein Shahiki Tash, Zahra Ahani, Alex Eponon, Olga Kolesnikova, Hiram Calvo:
Stress Detection on Code-Mixed Texts in Dravidian Languages using Machine Learning. - Ruijia Niu, Dongxia Wu, Rose Yu, Yi-An Ma:
Functional-level Uncertainty Quantification for Calibrated Fine-tuning on LLMs. - Xiaobing H. Feng, Joshua M. Siktar:
Γ-convergence of an Enhanced Finite Element Method for Manià's Problem Exhibiting the Lavrentiev Gap Phenomenon. - Kojiro Takeyama, Yimeng Liu, Misha Sra:
LocoVR: Multiuser Indoor Locomotion Dataset in Virtual Reality. - Abhiram Bellur, Razan Alghamdi, Kidus Workneh, Joseph Izraelevitz:
Leroy: Library Learning for Imperative Programming Languages. - Nima Shiri Harzevili, Mohammad Mahdi Mohajer, Jiho Shin, Moshi Wei, Gias Uddin, Jinqiu Yang, Junjie Wang, Song Wang, Zhen Ming Jiang, Nachiappan Nagappan:
Checker Bug Detection and Repair in Deep Learning Libraries. - Zeman Li, Xinwei Zhang, Peilin Zhong, Yuan Deng, Meisam Razaviyayn, Vahab Mirrokni:
Addax: Utilizing Zeroth-Order Gradients to Improve Memory Efficiency and Performance of SGD for Fine-Tuning Language Models. - Mingu Kang, Dongseok Lee, Woojin Cho, Jaehyeon Park, Kookjin Lee, Anthony Gruber, Youngjoon Hong, Noseong Park:
MaD-Scientist: AI-based Scientist solving Convection-Diffusion-Reaction Equations Using Massive PINN-Based Prior Data. - Ashlyn M. Farris, Michael L. Nelson:
Categorizing Social Media Screenshots for Identifying Author Misattribution. - Qijing Qiao, Ruitao Feng, Sen Chen, Fei Zhang, Xiaohong Li:
Multi-label Classification for Android Malware Based on Active Learning. - Junjie Chen, Qian Chen, Jian Lou, Xiaoyu Zhang, Kai Wu, Zilong Wang:
Machine Unlearning in Forgettability Sequence. - Sameera S. Kashyap, Raj Abhijit Dandekar, Rajat Dandekar, Sreedath Panat:
Modeling chaotic Lorenz ODE System using Scientific Machine Learning. - Henry Juarez-Vargas, Roger Mijael Mansilla-Huanacuni, Fred Torres-Cruz:
Challenges of the QWERTY Keyboard for Quechua Speakers in the Puno Region in Perú. - Byeong-Gil Jun, Edward A. Lee, Marten Lohstroh, Hokeun Kim:
Efficient Coordination for Distributed Discrete-Event Systems. - Olena Burkovska, Ilyas Mustapha:
An efficient proximal-based approach for solving nonlocal Allen-Cahn equations. - Yang Bai, Yang Zhou, Jun Zhou, Rick Siow Mong Goh, Daniel Shu Wei Ting, Yong Liu:
From Generalist to Specialist: Adapting Vision Language Models via Task-Specific Visual Instruction Tuning. - Thomas Palmeira Ferraz, Kartik Mehta, Yu-Hsiang Lin, Haw-Shiuan Chang, Shereen Oraby, Sijia Liu, Vivek Subramanian, Tagyoung Chung, Mohit Bansal, Nanyun Peng:
LLM Self-Correction with DeCRIM: Decompose, Critique, and Refine for Enhanced Following of Instructions with Multiple Constraints. - Alexis Plaquet, Naohiro Tawara, Marc Delcroix, Shota Horiguchi, Atsushi Ando, Shoko Araki:
Mamba-based Segmentation Model for Speaker Diarization. - Haoyu Wang, Yinan Huang, Nan Wu, Pan Li:
A Benchmark on Directed Graph Representation Learning in Hardware Designs. - David Noever, Forrest McKee:
Hallucinating AI Hijacking Attack: Large Language Models and Malicious Code Recommenders. - Hong-lin Liao, Xuping Wang, Cao Wen:
Average energy dissipation rates of additive implicit-explicit Runge-Kutta methods for gradient flow problems. - Lingjie Chen, Ruizhong Qiu, Siyu Yuan, Zhining Liu, Tianxin Wei, Hyunsik Yoo, Zhichen Zeng, Deqing Yang, Hanghang Tong:
WAPITI: A Watermark for Finetuned Open-Source LLMs. - Santhosh Kumar Ramakrishnan, Erik Wijmans, Philipp Krähenbühl, Vladlen Koltun:
Does Spatial Cognition Emerge in Frontier Models? - Yisheng Liu, Boru Zhou, Tengwei Pang, Guodong Fan, Xi Zhang:
Hybrid Fusion for Battery Degradation Diagnostics Using Minimal Real-World Data: Bridging Laboratory and Practical Applications. - Pawan Kumar, Hokeun Kim:
Cost-Effective Cyber-Physical System Prototype for Precision Agriculture with a Focus on Crop Growth. - Rob Royce, Marcel Kaufmann, Jonathan Becktor, Sangwoo Moon, Kalind C. Carpenter, Kai Pak, Amanda Towler, Rohan Thakker, Shehryar Khattak:
Enabling Novel Mission Operations and Interactions with ROSA: The Robot Operating System Agent. - Arthur Bucker, Pablo Ortega-Kral, Jonathan Francis, Jean Oh:
Grounding Robot Policies with Visuomotor Language Guidance. - Xun Shen, Shuo Jiang, Akifumi Wachi, Kazumune Hashimoto, Sebastien Gros:
Flipping-based Policy for Chance-Constrained Markov Decision Processes. - Zhengren Wang:
3D Representation Methods: A Survey. - Inga A. Ivanova, Grzegorz Rzadkowski, Loet Leydesdorff:
Quantitative Theory of Meaning. Application to Financial Markets. EUR/USD case study. - John Peca-Medlin:
Complete pivoting growth of butterfly matrices and butterfly Hadamard matrices. - Rhea Sanjay Sukthanker, Benedikt Staffler, Frank Hutter, Aaron Klein:
LLM Compression with Neural Architecture Search. - Fan Li, Xiaoyang Wang, Dawei Cheng, Wenjie Zhang, Ying Zhang, Xuemin Lin:
TCGU: Data-centric Graph Unlearning based on Transferable Condensation. - Qinglun Li, Miao Zhang, Mengzhu Wang, Quanjun Yin, Li Shen:
OledFL: Unleashing the Potential of Decentralized Federated Learning via Opposite Lookahead Enhancement. - Nikhil Ayyadevara, Ashish Chiplunkar, Amatya Sharma:
A Decomposition Approach to the Weighted k-server Problem. - Hua Li, Zhouhui Lian:
HFH-Font: Few-shot Chinese Font Synthesis with Higher Quality, Faster Speed, and Higher Resolution. - Jianqing Zhang, Yang Liu, Yang Hua, Jian Cao, Qiang Yang:
FedL2G: Learning to Guide Local Training in Heterogeneous Federated Learning. - Leo McKee-Reid, Christoph Sträter, Maria Angelica Martinez, Joe Needham, Mikita Balesni:
Honesty to Subterfuge: In-Context Reinforcement Learning Can Make Honest Models Reward Hack. - Dada Zhang, Md Ruman Islam, Pei-Chi Huang, Chun-Hsing Ho:
Overcoming Autoware-Ubuntu Incompatibility in Autonomous Driving Systems-Equipped Vehicles: Lessons Learned. - Minchan Jung, Kwangki Kim:
BiC-MPPI: Goal-Pursuing, Sampling-Based Bidirectional Rollout Clustering Path Integral for Trajectory Optimization. - Xiaofan Zhou, Baiting Chen, Yu Gui, Lu Cheng:
Conformal Prediction: A Data Perspective. - Javier Ferrando, Marta R. Costa-jussà:
On the Similarity of Circuits across Languages: a Case Study on the Subject-verb Agreement Task. - Fang Zhou, Yaning Huang, Dong Liang, Dai Li, Zhongke Zhang, Kai Wang, Xiao Xin, Abdallah Aboelela, Zheliang Jiang, Yang Wang, Jeff Song, Wei Zhang, Chen Liang, Huayu Li, Chonglin Sun, Hang Yang, Lei Qu, Zhan Shu, Mindi Yuan, Emanuele Maccherani, Taha Hayat, John Guo, Varna Puvvada, Uladzimir Pashkevich:
ERCache: An Efficient and Reliable Caching Framework for Large-Scale User Representations in Meta's Ads System. - Yuchen Shen, Chenhao Zhang, Sijie Fu, Chenghui Zhou, Newell Washburn, Barnabás Póczos:
Chemistry-Inspired Diffusion with Non-Differentiable Guidance. - Hyungyu Ju, Seokhyun Jeong, Seungnyun Kim, Byungju Lee, Byonghyo Shim:
Transformer-assisted Parametric CSI Feedback for mmWave Massive MIMO Systems. - Ziheng Liu, Jiayi Zhang, Enyu Shi, Yiyang Zhu, Derrick Wing Kwan Ng, Bo Ai:
Cooperative Multi-Target Positioning for Cell-Free Massive MIMO with Multi-Agent Reinforcement Learning. - Xiyao Wang, Linfeng Song, Ye Tian, Dian Yu, Baolin Peng, Haitao Mi, Furong Huang, Dong Yu:
Towards Self-Improvement of LLMs via MCTS: Leveraging Stepwise Knowledge with Curriculum Preference Learning. - Jiashi Gao, Ziwei Wang, Xiangyu Zhao, Xin Yao, Xuetao Wei:
PFAttack: Stealthy Attack Bypassing Group Fairness in Federated Learning. - Wanchao Liang, Tianyu Liu, Less Wright, Will Constable, Andrew Gu, Chien-Chin Huang, Iris Zhang, Wei Feng, Howard Huang, Junjie Wang, Sanket Purandare, Gokul Nadathur, Stratos Idreos:
TorchTitan: One-stop PyTorch native solution for production ready LLM pre-training. - Besma Smida, George C. Alexandropoulos, Taneli Riihonen, Md Atiqul Islam:
In-Band Full-Duplex MIMO Systems for Simultaneous Communications and Sensing: Challenges, Methods, and Future Perspectives. - Xiaoyang Liu, Yunyao Mao, Wengang Zhou, Houqiang Li:
MotionRL: Align Text-to-Motion Generation to Human Preferences with Multi-Reward Reinforcement Learning. - Weiquan Deng, Bowen Zhao, Yang Xiao, Yantao Zhong, Qingqi Pei, Ximeng Liu:
MORSE: An Efficient Homomorphic Secret Sharing Scheme Enabling Non-Linear Operation. - Zhenhao Li, Junkai Chen, Qiheng Mao, Xing Hu, Kui Liu, Xin Xia:
Studying Practitioners' Expectations on Clear Code Review Comments. - Yuxin Li, Yiheng Li, Xulei Yang, Mengying Yu, Zihang Huang, Xiaojun Wu, Chai Kiat Yeo:
QuadBEV: An Efficient Quadruple-Task Perception Framework via Bird's-Eye-View Representation. - Wei Shi, Shuang Li, Kerun Yu, Jinglei Chen, Zujie Liang, Xinhui Wu, Yuxi Qian, Feng Wei, Bo Zheng, Jiaqing Liang, Jiangjie Chen, Yanghua Xiao:
SEGMENT+: Long Text Processing with Short-Context Language Models. - Yuan-Jhe Yin, Bo-Yu Chen, Berlin Chen:
A Novel LLM-based Two-stage Summarization Approach for Long Dialogues. - Jia-Feng Cai, Zibo Chen, Xiao-Ming Wu, Jian-Jian Jiang, Yi-Lin Wei, Wei-Shi Zheng:
Real-to-Sim Grasp: Rethinking the Gap between Simulation and Real World in Grasp Detection. - Mare Hirose, Shoko Imaizumi, Hitoshi Kiya:
On the Security of Bitstream-level JPEG Encryption with Restart Markers. - Maharshi Gor, Hal Daumé III, Tianyi Zhou, Jordan L. Boyd-Graber:
Do great minds think alike? Investigating Human-AI Complementarity in Question Answering with CAIMIRA. - Haoran Guan, Yuwei Fan:
CholeskyQR for sparse matrices. - Kaijing Ma, Xinrun Du, Yunran Wang, Haoran Zhang, Zhoufutu Wen, Xingwei Qu, Jian Yang, Jiaheng Liu, Minghao Liu, Xiang Yue, Wenhao Huang, Ge Zhang:
KOR-Bench: Benchmarking Language Models on Knowledge-Orthogonal Reasoning Tasks. - Baiyu Pan, Jichao Jiao, Bowen Yao, Jianxin Pang, Jun Cheng:
The Sampling-Gaussian for stereo matching. - Samuel Everett:
Deciding subspace reachability problems with application to Skolem's Problem. - Ran Lu, Bin Han:
Quasi-stationary Subdivision Schemes in Arbitrary Dimensions. - Mathilde Papillon, Guillermo Bernárdez, Claudio Battiloro, Nina Miolane:
TopoTune : A Framework for Generalized Combinatorial Complex Neural Networks. - Philipp Lepold, Tobias Röddiger, Tobias King, Kai Kunze, Christoph Maurer, Michael Beigl:
OpenEarable ExG: Open-Source Hardware for Ear-Based Biopotential Sensing Applications. - Shijie Ma, Fei Zhu, Zhun Zhong, Wenzhuo Liu, Xu-Yao Zhang, Cheng-Lin Liu:
Happy: A Debiased Learning Framework for Continual Generalized Category Discovery. - Hao Zhang, Mingyue Cheng, Qi Liu, Yucong Luo, Rui Li, Enhong Chen:
Learning Recommender Systems with Soft Target: A Decoupled Perspective. - Fangwei Zhu, Dian Li, Jiajun Huang, Gang Liu, Hui Wang, Zhifang Sui:
Chip-Tuning: Classify Before Language Models Say. - Aravinda Reddy P. N, Raghavendra Ramachandra, Krothapalli Sreenivasa Rao, Pabitra Mitra, Vinod Rathod:
Gumbel Rao Monte Carlo based Bi-Modal Neural Architecture Search for Audio-Visual Deepfake Detection. - Chenxing Li, Manjie Xu, Dong Yu:
SRC-gAudio: Sampling-Rate-Controlled Audio Generation. - Zhenyu Xu, Victor S. Sheng:
Signal Watermark on Large Language Models. - Pardis Sadat Zahraei, Ehsaneddin Asgari:
TuringQ: Benchmarking AI Comprehension in Theory of Computation. - Jinghan Li, Yuan Gao, Jinda Lu, Junfeng Fang, Congcong Wen, Hui Lin, Xiang Wang:
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector. - Shiho Matta, Yin Jou Huang, Fei Cheng, Hirokazu Kiyomaru, Yugo Murawaki:
Investigating Cost-Efficiency of LLM-Generated Training Data for Conversational Semantic Frame Analysis. - Jen-Yuan Huang, Haofan Wang, Qixun Wang, Xu Bai, Hao Ai, Peng Xing, Jen-Tse Huang:
InstantIR: Blind Image Restoration with Instant Generative Reference. - Su Diao, Changsong Wei, Junyu Wang, Yizhou Li:
Ventilator pressure prediction using recurrent neural network. - Peng Xu, Wenqi Shao, Mingyu Ding, Ping Luo:
DCP: Learning Accelerator Dataflow for Neural Network via Propagation. - Yanjun Chen, Dawei Zhu, Yirong Sun, Xinghao Chen, Wei Zhang, Xiaoyu Shen:
The Accuracy Paradox in RLHF: When Better Reward Models Don't Yield Better Language Models. - Haoran Zhang, Hangyu Guo, Shuyue Guo, Meng Cao, Wenhao Huang, Jiaheng Liu, Ge Zhang:
ING-VP: MLLMs cannot Play Easy Vision-based Games Yet. - Juan Augusto Paredes, Ankit Goel:
MPC-guided, Data-driven Fuzzy Controller Synthesis. - Lianyu Hu, Tongkai Shi, Wei Feng, Fanhua Shang, Liang Wan:
Deep Correlated Prompting for Visual Recognition with Missing Modalities. - Peiyuan Liu, Tian Zhou, Liang Sun, Rong Jin:
Mitigating Time Discretization Challenges with WeatherODE: A Sandwich Physics-Driven Neural ODE for Weather Forecasting. - Wenqi Niu, Yingchao Wang, Guohui Cai, Hanpo Hou:
Efficient and Robust Knowledge Distillation from A Stronger Teacher Based on Correlation Matching. - Dvij Kalaria, Haoru Xue, Wenli Xiao, Tony Tao, Guanya Shi, John M. Dolan:
Agile Mobility with Rapid Online Adaptation via Meta-learning and Uncertainty-aware MPPI. - Pardis Sadat Zahraei, Zahra Shakeri:
Detecting Bias and Enhancing Diagnostic Accuracy in Large Language Models for Healthcare. - Prateek Varshney, Mert Pilanci:
Convex Distillation: Efficient Compression of Deep Networks via Convex Optimization. - Dvij Kalaria, Qin Lin, John M. Dolan:
Disturbance Observer-based Control Barrier Functions with Residual Model Learning for Safe Reinforcement Learning. - Hongbin Liu, Youzheng Chen, Arun Narayanan, Athula Balachandran, Pedro J. Moreno, Lun Wang:
Can DeepFake Speech be Reliably Detected? - Riya Sadrani, Hrishikesh Sharma, Ayush Bachan:
On The Relationship between Visual Anomaly-free and Anomalous Representations. - Zhihao He, Hang Yu, Zi Gong, Shizhan Liu, Jianguo Li, Weiyao Lin:
Rodimus*: Breaking the Accuracy-Efficiency Trade-Off with Efficient Attentions. - Cheng Gao, Chaojun Xiao, Zhenghao Liu, Huimin Chen, Zhiyuan Liu, Maosong Sun:
Enhancing Legal Case Retrieval via Scaling High-quality Synthetic Query-Candidate Pairs. - Davin Choo, Chun Kai Ling:
A short note about the learning-augmented secretary problem. - Kai-Hsiang Chou, Yi-Min Lin, Yi-An Wang, Jonathan Weiping Li, Tiffany Hyun-Jin Kim, Hsu-Chun Hsiao:
Bots can Snoop: Uncovering and Mitigating Privacy Risks of Bots in Group Chats. - Naomi Sagan, Tsachy Weissman:
A Family of LZ78-based Universal Sequential Probability Assignments. - Ruihao Xia, Yu Liang, Peng-Tao Jiang, Hao Zhang, Qianru Sun, Yang Tang, Bo Li, Pan Zhou:
Towards Natural Image Matting in the Wild via Real-Scenario Prior. - Zhaoyong Wang, Yujie Liu, Mingyue Li, Wenxin Zhang, Zongmin Li:
DDRN:a Data Distribution Reconstruction Network for Occluded Person Re-Identification. - Yihuai Hong, Yuelin Zou, Lijie Hu, Ziqian Zeng, Di Wang, Haiqin Yang:
Dissecting Fine-Tuning Unlearning in Large Language Models. - Onkar Kishor Susladkar, Vishesh Tripathi, Biddwan Ahmed:
Bahasa Harmony: A Comprehensive Dataset for Bahasa Text-to-Speech Synthesis with Discrete Codec Modeling of EnGen-TTS. - Lu Chen, Yingfu Zeng, Haoang Li, Zhitao Deng, Jiafu Yan, Zhenjun Zhao:
ES-Gaussian: Gaussian Splatting Mapping via Error Space-Based Gaussian Completion. - Stephen Hausler, Peyman Moghadam:
Pair-VPR: Place-Aware Pre-training and Contrastive Pair Classification for Visual Place Recognition with Vision Transformers. - Putra Manggala, Atalanti-Anastasia Mastakouri, Elke Kirschbaum, Shiva Prasad Kasiviswanathan, Aaditya Ramdas:
β-calibration of Language Model Confidence Scores for Generative QA. - Guoxin Chen, Zhong Zhang, Xin Cong, Fangda Guo, Yesai Wu, Yankai Lin, Wenzheng Feng, Yasheng Wang:
Learning Evolving Tools for Large Language Models. - Jian Xiao, Zhenzhen Hu, Jia Li, Richang Hong:
Decomposing Relationship from 1-to-N into N 1-to-1 for Text-Video Retrieval. - Giuseppe Silano, Alvaro Caballero, Davide Liuzza, Luigi Iannelli, Stjepan Bogdan, Martin Saska:
Task Coordination and Trajectory Optimization for Multi-Aerial Systems via Signal Temporal Logic: A Wind Turbine Inspection Study. - Xianghua Zeng, Hao Peng, Angsheng Li:
Effective Exploration Based on the Structural Information Principles. - Yi Ding, Bolian Li, Ruqi Zhang:
ETA: Evaluating Then Aligning Safety of Vision Language Models at Inference Time. - Meng Yu, Luojie Yang, Xunjie He, Yi Yang, Yufeng Yue:
Open-RGBT: Open-vocabulary RGB-T Zero-shot Semantic Segmentation in Open-world Environments. - Muhammad Morshed Alam, Muhammad Yeasir Arafat, Tamim Hossain:
Variations in Multi-Agent Actor-Critic Frameworks for Joint Optimizations in UAV Swarm Networks: Recent Evolution, Challenges, and Directions. - Shengyao Zhuang, Bevan Koopman, Guido Zuccon:
Does Vec2Text Pose a New Corpus Poisoning Threat? - Armel Zebaze, Benoît Sagot, Rachel Bawden:
Tree of Problems: Improving structured problem solving with compositionality. - Kaishuai Xu, Tiezheng Yu, Wenjun Hou, Yi Cheng, Chak Tou Leong, Liangyou Li, Xin Jiang, Lifeng Shang, Qun Liu, Wenjie Li:
Subtle Errors Matter: Preference Learning via Error-injected Self-editing. - Ruiqi Liu, Boyu Diao, Libo Huang, Zijia An, Zhulin An, Yongjun Xu:
Continual Learning in the Frequency Domain. - Junzhi Wang, Jun Sun, Zheng Xiao, Limin Liao, Yingzhuang Liu:
Achieving Interference-Free Degrees of Freedom in Cellular Networks via RIS. - Xing Lei, Xuetao Zhang, Zifeng Zhuang, Donglin Wang:
Q-WSL: Optimizing Goal-Conditioned RL with Weighted Supervised Learning via Dynamic Programming. - Jiaxi Hu, Bowen Zhang, Qingsong Wen, Fugee Tsung, Yuxuan Liang:
Toward Physics-guided Time Series Embedding. - Zhixian Wang, Linxiao Yang, Liang Sun, Qingsong Wen, Yi Wang:
Task-oriented Time Series Imputation Evaluation via Generalized Representers. - Loris Sauter, Ralph Gasser, Heiko Schuldt, Abraham Bernstein, Luca Rossetto:
Performance Evaluation in Multimedia Retrieval. - Kai Jungel, Dario Paccagnan, Axel Parmentier, Maximilian Schiffer:
WardropNet: Traffic Flow Predictions via Equilibrium-Augmented Learning. - Frederik Baymler Mathiesen, Licio Romao, Simeon C. Calvert, Luca Laurenti, Alessandro Abate:
A data-driven approach for safety quantification of non-linear stochastic systems with unknown additive noise distribution. - Mengbin Ye, Lorenzo Zino:
Data-informed modeling of the formation, persistence, and evolution of social norms and conventions. - Qianli Ma, Xuefei Ning, Dongrui Liu, Li Niu, Linfeng Zhang:
Decouple-Then-Merge: Towards Better Training for Diffusion Models. - Yonatan Sverdlov, Ido Springer, Nadav Dym:
Revisiting Multi-Permutation Equivariance through the Lens of Irreducible Representations. - Chenyang Lyu, Lecheng Yan, Rui Xing, Wenxi Li, Younes Samih, Tianbo Ji, Longyue Wang:
Large Language Models as Code Executors: An Exploratory Study. - Gang Tu, Dan Li, Bingxin Lin, Zibin Zheng, See-Kiong Ng:
GLA-DA: Global-Local Alignment Domain Adaptation for Multivariate Time Series. - Junxuan Wang, Xuyang Ge, Wentao Shu, Qiong Tang, Yunhua Zhou, Zhengfu He, Xipeng Qiu:
Towards Universality: Studying Mechanistic Similarity Across Language Model Architectures. - Alessandro Ragano, Jan Skoglund, Andrew Hines:
SCOREQ: Speech Quality Assessment with Contrastive Regression. - Zeyu Zhang, Sixu Yan, Muzhi Han, Zaijin Wang, Xinggang Wang, Song-Chun Zhu, Hangxin Liu:
M3Bench: Benchmarking Whole-body Motion Generation for Mobile Manipulation in 3D Scenes. - Kai Ebert, Nicolas Alder, Ralf Herbrich, Philipp Hacker:
AI, Climate, and Regulation: From Data Centers to the AI Act. - Changli Tang, Yixuan Li, Yudong Yang, Jimin Zhuang, Guangzhi Sun, Wei Li, Zujun Ma, Chao Zhang:
Enhancing Multimodal LLM for Detailed and Accurate Video Captioning using Multi-Round Preference Optimization. - Yuval Emek, Matan-El Shpiro:
Barter Exchange with Bounded Trading Cycles. - Hecong Gao, Hui Liang:
Convergence and superconvergence analysis of discontinuous Galerkin methods for index-2 integral-algebraic equations. - Kai Wulff, Maria Christine Honecker, Robert Schmid, Johann Reger:
Non-overshooting output shaping for switched linear systems under arbitrary switching using eigenstructure assignment. - Juncheng Long, Honglei Su, Qi Liu, Hui Yuan, Wei Gao, Jiarun Song, Zhou Wang:
Perceptual Quality Assessment of Trisoup-Lifting Encoded 3D Point Clouds. - Stefano M. Nicoletti, Milan Lopuhaä-Zwakenberg, Mariëlle Stoelinga, Fabio Massacci, Carlos E. Budde:
How hard can it be? Quantifying MITRE attack campaigns with attack trees and cATM logic. - Michal Werner, Tomás Báca, Petr Stibinger, Daniela Doubravova, Jaroslav Solc, Jan Rusnak, Martin Saska:
Autonomous localization of multiple ionizing radiation sources using miniature single-layer Compton cameras onboard a group of micro aerial vehicles. - Yunzhi Lin, Yipu Zhao, Fu-Jen Chu, Xingyu Chen, Weiyao Wang, Hao Tang, Patricio A. Vela, Matt Feiszli, Kevin J. Liang:
OmniPose6D: Towards Short-Term Object Pose Tracking in Dynamic Scenes from Monocular RGB. - Michail Tsenos, Aristotelis Peri, Vana Kalogeraki:
Energy Efficient Scheduling for Serverless Systems. - Friedhelm Hamann, Suman Ghosh, Ignacio Juarez Martinez, Tom Hart, Alex Kacelnik, Guillermo Gallego:
Fourier-based Action Recognition for Wildlife Behavior Quantification with Event Cameras. - Yubo Wang, Chaohu Liu, Yanqiu Qu, Haoyu Cao, Deqiang Jiang, Linli Xu:
Break the Visual Perception: Adversarial Attacks Targeting Encoded Visual Tokens of Large Vision-Language Models. - Henri Alam, Antonio De Domenico, David López-Pérez, Florian Kaltenberger:
Optimizing Integrated Terrestrial and Non-Terrestrial Networks Performance with Traffic-Aware Resource Management. - Ido Levy, Ben Wiesel, Sami Marreed, Alon Oved, Avi Yaeli, Segev Shlomov:
ST-WebAgentBench: A Benchmark for Evaluating Safety and Trustworthiness in Web Agents. - Krishna Kanth Nakka, Ahmed Frikha, Ricardo Mendes, Xue Jiang, Xuebing Zhou:
PII-Scope: A Benchmark for Training Data PII Leakage Assessment in LLMs. - Ben Adida, John Caron, Arash Mirzaei, Vanessa Teague:
MERGE: Matching Electronic Results with Genuine Evidence for verifiable voting in person at remote locations. - Cheng Wang, Gyuri Szarvas, Georges Balazs, Pavel Danchenko, Patrick Ernst:
Calibrating Verbalized Probabilities for Large Language Models. - Vincenzo De Martino, Silverio Martínez-Fernández, Fabio Palomba:
Do Developers Adopt Green Architectural Tactics for ML-Enabled Systems? A Mining Software Repository Study. - Ishan Narayan, Shashi Poddar:
Analysis of different disparity estimation techniques on aerial stereo image datasets. - Guoyou Sun, Panagiotis Karras, Qi Zhang:
SHRINK: Data Compression by Semantic Extraction and Residuals Encoding. - Josip Zilic, Vincenzo De Maio, Shashikant Ilager, Ivona Brandic:
FRESCO: Fast and Reliable Edge Offloading with Reputation-based Hybrid Smart Contracts. - Minbeom Kim, Thibaut Thonet, Jos Rozen, Hwaran Lee, Kyomin Jung, Marc Dymetman:
Guaranteed Generation from Large Language Models. - Abhinav Shukla, Sai Vemprala, Aditya Kusupati, Ashish Kapoor:
MatMamba: A Matryoshka State Space Model. - Benyuan Meng, Qianqian Xu, Zitai Wang, Zhiyong Yang, Xiaochun Cao, Qingming Huang:
Suppress Content Shift: Better Diffusion Features via Off-the-Shelf Generation Techniques. - Miquel Kegeleirs, David Garzón-Ramos, Guillermo Legarda Herranz, Ilyes Gharbi, Jeanne Szpirer, Olivier Debeir, Ken Hasselmann, Lorenzo Garattoni, Gianpiero Francesca, Mauro Birattari:
Collective perception for tracking people with a robot swarm. - Aristotelis Peri, Michail Tsenos, Vana Kalogeraki:
Orchestrating the Execution of Serverless Functions in Hybrid Clouds. - Zeyu Cao, Cheng Zhang, Pedro Gimenes, Jianqiao Lu, Jianyi Cheng, Yiren Zhao:
Scaling Laws for Mixed quantization in Large Language Models. - Qinfeng Zhu, Jiaze Cao, Yuanzhi Cai, Lei Fan:
Evaluating the Impact of Point Cloud Colorization on Semantic Segmentation Accuracy. - Dongshuai Duan, Honglei Su, Qi Liu, Hui Yuan, Wei Gao, Jiarun Song, Zhou Wang:
Perceptual Quality Assessment of Octree-RAHT Encoded 3D Point Clouds. - Qi Chen, Bowen Zhang, Gang Wang, Qi Wu:
Weak-eval-Strong: Evaluating and Eliciting Lateral Thinking of LLMs with Situation Puzzles. - Zhenhui Ye, Tianyun Zhong, Yi Ren, Ziyue Jiang, Jiawei Huang, Rongjie Huang, Jinglin Liu, Jinzheng He, Chen Zhang, Zehan Wang, Xize Chen, Xiang Yin, Zhou Zhao:
MimicTalk: Mimicking a personalized and expressive 3D talking face in minutes. - Fumiya Uchiyama, Takeshi Kojima, Andrew Gambardella, Qi Cao, Yusuke Iwasawa, Yutaka Matsuo:
Which Programming Language and What Features at Pre-training Stage Affect Downstream Logical Inference Performance? - Zi Gong, Hang Yu, Cong Liao, Bingchang Liu, Chaoyu Chen, Jianguo Li:
CoBa: Convergence Balancer for Multitask Finetuning of Large Language Models. - Caglar Demir, N'Dah Jean Kouagou, Arnab Sharma, Axel-Cyrille Ngonga Ngomo:
Inference over Unseen Entities, Relations and Literals on Knowledge Graphs. - Hari Prabhat Gupta, Rahul Mishra:
Utilizing Transfer Learning and pre-trained Models for Effective Forest Fire Detection: A Case Study of Uttarakhand. - Siyuan Huang, Yunchong Song, Jiayue Zhou, Zhouhan Lin:
Cluster-wise Graph Transformer with Dual-granularity Kernelized Attention. - Zhiqi Li, Yiming Chen, Peidong Liu:
DreamMesh4D: Video-to-4D Generation with Sparse-Controlled Gaussian-Mesh Hybrid Representation. - Anil B, Mayank Pandey, Sneha Gajbhiye:
Finite-Time Trajectory Tracking of a Four wheeled Mecanum Mobile Robot. - Mickaël Nahon, Édouard Oudet:
Computation of harmonic functions on higher genus surfaces. - Yike Chen, Ke Shi, Chao Xu:
An Optimal Algorithm for the Stacker Crane Problem on Fixed Topologies. - Junyan Lin, Haoran Chen, Dawei Zhu, Xiaoyu Shen:
To Preserve or To Compress: An In-Depth Study of Connector Selection in Multimodal Large Language Models. - Shuaishuai Han, Emad Alsusa, Mohammad Ahmad Al-Jarrah, Mahmoud A. AlaaEldin:
On the Performance of Pilot-Aided Simultaneous Communication and Tracking. - Maria-Teresa De Rosa Palmini, Eva Cetinic:
Patterns of Creativity: How User Input Shapes AI-Generated Visual Diversity. - Jana Kosticová:
LR Parsing of Permutation Phrases. - Niklas Hörnblad:
BLAS-like Interface for Binary Tensor Contractions. - Alexander Rose, Philipp Schaub, Rolf Findeisen:
Safe and High-Performance Learning of Model Predicitve Control using Kernel-Based Interpolation. - Petra Draskovic, Ivan Pavic, Karlo Sepetanc, Hrvoje Pandzic:
A Hybrid Renewable-Battery-Electrolyzer Facility under the Single Imbalance Pricing Scheme. - Rutvik Page, Arnav Doifode, Jitendra Tembhurne, Aishwarya Sagar Anand Ukey:
Participatory Budget Allocation Method for Approval Ballots. - Keliang Li, Zaifei Yang, Jiahe Zhao, Hongze Shen, Ruibing Hou, Hong Chang, Shiguang Shan, Xilin Chen:
HERM: Benchmarking and Enhancing Multimodal LLMs for Human-Centric Understanding. - Shuaimin Li, Yuanfeng Song, Xuanang Chen, Anni Peng, Zhuoyue Wan, Chen Jason Zhang, Raymond Chi-Wing Wong:
Mind Your Questions! Towards Backdoor Attacks on Text-to-Visualization Models. - Mariana Vargas Vieyra, Pascal Frossard:
Deep End-to-End Survival Analysis with Temporal Consistency. - Benedikt Wirth:
Convergence of spectral discretization for the flow of diffeomorphisms. - Vishnu Joshi, Suraj Kumar, Nithin V, Shishir Kolathaya:
Discrete time model predictive control for humanoid walking with step adjustment. - Carla Groenland, Jesper Nederlof, Tomohiro Koana:
A Polynomial Time Algorithm for Steiner Tree when Terminals Avoid a K4-Minor. - Yuying Shang, Xinyi Zeng, Yutao Zhu, Xiao Yang, Zhengwei Fang, Jingyuan Zhang, Jiawei Chen, Zinan Liu, Yu Tian:
From Pixels to Tokens: Revisiting Object Hallucinations in Large Vision-Language Models. - Anton Firc, Kamil Malinka, Petr Hanácek:
Diffuse or Confuse: A Diffusion Deepfake Speech Dataset. - Riya Sultana, Veeraruna Kavitha:
Cooperate or Compete: Coalition Formation in Congestion Games. - Joanna Sliwa, Frank Schneider, Nathanael Bosch, Agustinus Kristiadi, Philipp Hennig:
Efficient Weight-Space Laplace-Gaussian Filtering and Smoothing for Sequential Deep Learning. - Zichao Li, Shaojie He, Meng Liao, Xuanang Chen, Yaojie Lu, Hongyu Lin, Yanxiong Lu, Xianpei Han, Le Sun:
Seg2Act: Global Context-aware Action Generation for Document Logical Structuring. - Fei Xie, Weijia Zhang, Zhongdao Wang, Chao Ma:
QuadMamba: Learning Quadtree-based Selective Scan for Visual State Space Model. - Tomasz Kociumaka, Jakob Nogler, Philip Wellnitz:
Near-Optimal-Time Quantum Algorithms for Approximate Pattern Matching. - Xinyi Zeng, Yuying Shang, Yutao Zhu, Jiawei Chen, Yu Tian:
Root Defence Strategies: Ensuring Safety of LLM at the Decoding Level. - Dayan Guan, Yixuan Wu, Tianzhu Liu, Alex C. Kot, Yanfeng Gu:
Rethinking the Evaluation of Visible and Infrared Image Fusion. - Qiang Hu, Hengxiang Zhang, Hongxin Wei:
Defending Membership Inference Attacks via Privacy-aware Sparsity Tuning. - Egor Kraev, Baran Koseoglu, Luca Traverso, Mohammed Topiwalla:
Shap-Select: Lightweight Feature Selection Using SHAP Values and Regression. - Yuhao Mao, Yani Zhang, Martin T. Vechev:
Multi-Neuron Unleashes Expressivity of ReLU Networks Under Convex Relaxation. - Narjes Benameur, Ramzi Mahmoudi, Mohamed Deriche, Amira Fayouka, Imene Masmoudi, Nessrine Zoghlami:
An Improved Approach for Cardiac MRI Segmentation based on 3D UNet Combined with Papillary Muscle Exclusion. - Aleksey Staroverov, Muhammad Alhaddad, Aditya Narendra, Konstantin Mironov, Aleksandr Panov:
Dynamic Neural Potential Field: Online Trajectory Optimization in Presence of Moving Obstacles. - Lise Le Boudec, Emmanuel de Bézenac, Louis Serrano, Ramon Daniel Regueiro-Espino, Yuan Yin, Patrick Gallinari:
Learning a Neural Solver for Parametric PDE to Enhance Physics-Informed Methods. - Christian Choffrut:
Unary counting quantifiers do not increase the expressive power of Presburger aritmetic: an alternative shorter proof. - Carina Veil, Miroslav Krstic, Iasson Karafyllis, Mamadou Diagne, Oliver Sawodny:
Stabilization of Predator-Prey Age-Structured Hyperbolic PDE when Harvesting both Species is Inevitable. - Shima Rabiei, Sandipan Mishra, Santiago Paternain:
Transfer Learning for a Class of Cascade Dynamical Systems. - Yucheng Liu, Shubin Fu, Yingjie Zhou, Changqing Ye, Eric T. Chung:
Learning a generalized multiscale prolongation operator. - Borjan Geshkovski, Hugo Koubbi, Yury Polyanskiy, Philippe Rigollet:
Dynamic metastability in the self-attention model. - Shunsuke Inenaga:
Faster and Simpler Online Computation of String Net Frequency. - Ahmed Abdullah, Nikolas Ebert, Oliver Wasenmüller:
Boosting Few-Shot Detection with Large Language Models and Layout-to-Image Synthesis. - Yuhan Kang, Qingpeng Li, Leyuan Fang, Jian Zhao, Xuelong Li:
SurANet: Surrounding-Aware Network for Concealed Object Detection via Highly-Efficient Interactive Contrastive Learning Strategy. - Cheng Li, May Fung, Qingyun Wang, Chi Han, Manling Li, Jindong Wang, Heng Ji:
MentalArena: Self-play Training of Language Models for Diagnosis and Treatment of Mental Health Disorders. - Mutian He, Philip N. Garner:
Joint Fine-tuning and Conversion of Pretrained Speech and Language Models towards Linear Complexity. - Qihan Qi, Xinsong Yang, Gang Xia, Daniel W. C. Ho, Pengyang Tang:
A Safety Modulator Actor-Critic Method in Model-Free Safe Reinforcement Learning and Application in UAV Hovering. - Qi Guo, Zhen Tian, Minghao Yao, Yong Qi, Saiyu Qi, Yun Lin, Jin Song Dong:
Forgetting Through Transforming: Enabling Federated Unlearning via Class-Aware Representation Transformation. - Terry Shue Chien Lau, Zhe Sun, Sook-Chin Yip, Ji-Jian Chin, Choo-Yee Ting:
On the Security and Design of Cryptosystems Using Gabidulin-Kronecker Product Codes. - Yingjie Zhou, Changqing Ye, Yucheng Liu, Shubin Fu, Eric T. Chung:
A robust solver for large-scale heat transfer topology optimization. - Wei Yao, Zeliang Zhang, Huayi Tang, Yong Liu:
Understanding Model Ensemble in Transferable Adversarial Attack. - Qihan Qi, Xinsong Yang, Gang Xia:
Safe Reinforcement Learning Filter for Multicopter Collision-Free Tracking under disturbances. - Chuanjun Zheng, Yicheng Zhan, Liang Shi, Ozan Cakmakci, Kaan Aksit:
Focal Surface Holographic Light Transport using Learned Spatially Adaptive Convolutions. - Haoxing Lin, Prashant Nalini Vasudevan:
On Wagner's k-Tree Algorithm Over Integers. - Yorick Last, Jorrit Geels, Hanna Schraffenberger:
Digital Dotted Lines: Design and Evaluation of a Prototype for Digitally Signing Documents Using Identity Wallets. - Dayron Chang Dominguez, An Phuc Dam, Thomas Richter, Kai Sundmacher, Shaun M. Alia:
Application of a Temporal Multiscale Method for Efficient Simulation of Degradation in PEM Water Electrolysis under Dynamic Operation. - Hieke Keuning, Isaac Alpizar Chacon, Ioanna Lykourentzou, Lauren Beehler, Christian Köppe, Imke de Jong, Sergey A. Sosnovsky:
Students' Perceptions and Use of Generative AI Tools for Programming Across Different Computing Courses. - Ao-Xiang Zhang, Yu Ran, Weixuan Tang, Yuan-Gen Wang, Qingxiao Guan, Chunsheng Yang:
Secure Video Quality Assessment Resisting Adversarial Attacks. - Zhiyi Huang, Chui Shan Lee, Jianqiao Lu, Xinkai Shu:
Online Matching Meets Sampling Without Replacement. - Xiaolin Bu, Zihao Li, Shengxin Liu, Xinhang Lu, Biaoshuai Tao:
Best-of-Both-Worlds Fair Allocation of Indivisible and Mixed Goods. - Dmitrii Avdiukhin, Michael Dinitz, Chenglin Fan, Grigory Yaroslavtsev:
Noise is All You Need: Private Second-Order Convergence of Noisy SGD. - Sai Abhinav Pydimarry, Shekhar Madhav Khairnar, Sofia Garces Palacios, Ganesh Sankaranarayanan, Darian Hoagland, Dmitry Nepomnayshy, Huu Phong Nguyen:
Evaluating Model Performance with Hard-Swish Activation Function Adjustments. - Bhola, Yu-Jia Chen, Ashutosh Balakrishnan, Swades De, Li-Chun Wang:
Cooperative UAV-Relay based Satellite Aerial Ground Integrated Networks. - Matthew Joseph, Mónica Ribero, Alexander Yu:
Privately Counting Partially Ordered Data. - Yingxu Wang, Siwei Liu, Mengzhu Wang, Shangsong Liang, Nan Yin:
Degree Distribution based Spiking Graph Networks for Domain Adaptation. - Deheng Yuan, Tao Guo, Zhongyi Huang:
Adaptive Refinement Protocols for Distributed Distribution Estimation under ℓp-Losses. - Jingyang Deng, Zhengyang Shen, Boyang Wang, Lixin Su, Suqi Cheng, Ying Nie, Junfeng Wang, Dawei Yin, Jinwen Ma:
FltLM: An Intergrated Long-Context Large Language Model for Effective Context Filtering and Understanding. - Jeremy G. Hoskins, Yuehaw Khoo, Oscar Mickelin, Amit Singer, Yuguan Wang:
Subspace method of moments for ab initio 3-D single-particle Cryo-EM reconstruction. - Seungho Lee, Hwijeong Lee, Hyunjung Shim:
Learning from Spatio-temporal Correlation for Semi-Supervised LiDAR Semantic Segmentation. - Chenhao Sun, Yuhao Mao, Mark Niklas Müller, Martin T. Vechev:
Average Certified Radius is a Poor Metric for Randomized Smoothing. - Domen Vres, Martin Bozic, Aljaz Potocnik, Tomaz Martincic, Marko Robnik-Sikonja:
Generative Model for Less-Resourced Language with 1 billion parameters. - Tobias Jawecki:
On the restriction to unitarity for rational approximations to the exponential function. - Manuel Hetzel, Hannes Reichert, Konrad Doll, Bernhard Sick:
Reliable Probabilistic Human Trajectory Prediction for Autonomous Applications. - Yajvan Ravan, Zhutian Yang, Tao Chen, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Combining Planning and Diffusion for Mobility with Unknown Dynamics. - Avik Pal, Max van Spengler, Guido Maria D'Amely di Melendugno, Alessandro Flaborea, Fabio Galasso, Pascal Mettes:
Compositional Entailment Learning for Hyperbolic Vision-Language Models. - Runchuan Zhu, Zhipeng Ma, Jiang Wu, Junyuan Gao, Jiaqi Wang, Dahua Lin, Conghui He:
Utilize the Flow before Stepping into the Same River Twice: Certainty Represented Knowledge Flow for Refusal-Aware Instruction Tuning. - Heming Xia, Yongqi Li, Jun Zhang, Cunxiao Du, Wenjie Li:
SWIFT: On-the-Fly Self-Speculative Decoding for LLM Inference Acceleration. - Shengyan Li, Qi Sun, Xuejun Xu, Bowen Zheng:
Neural Green's Function Accelerated Iterative Methods for Solving Indefinite Boundary Value Problems. - Andreas Stenwreth, Simon Täng, Victor Morel:
To Be or Not to Be (in the EU): Measurement of Discrepancies Presented in Cookie Paywalls. - Friedrich Wolf-Monheim:
Spectral and Rhythm Features for Audio Classification with Deep Convolutional Neural Networks. - Fan Wu, Xiaolong Xu, Muhammad Bilal, Xiangwei Wang, Hao Cheng, Siyu Wu:
VEC-Sim: A Simulation Platform for Evaluating Service Caching and Computation Offloading Policies in Vehicular Edge Networks. - Abdelatif Hafid, Mohamed Rahouti, Linglong Kong, Maad Ebrahim, Mohamed Adel Serhani:
Predicting Bitcoin Market Trends with Enhanced Technical Indicator Integration and Classification Models. - Sihyun Yu, Sangkyung Kwak, Huiwon Jang, Jongheon Jeong, Jonathan Huang, Jinwoo Shin, Saining Xie:
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think. - Johan Gustafsson, Sean R. Wilkinson, Finn Bacall, Luca Pireddu, Stian Soiland-Reyes, Simone Leo, Stuart Owen, Nick S. Juty, José María Fernández, Björn A. Grüning, Tom Brown, Hervé Ménager, Salvador Capella-Gutiérrez, Frederik Coppens, Carole A. Goble:
WorkflowHub: a registry for computational workflows. - Huanxi Liu, Jiaqi Liao, Dawei Feng, Kele Xu, Huaimin Wang:
AutoFeedback: An LLM-based Framework for Efficient and Accurate API Request Generation. - Pretam Ray, Jivnesh Sandhan, Amrith Krishna, Pawan Goyal:
CSSL: Contrastive Self-Supervised Learning for Dependency Parsing on Relatively Free Word Ordered and Morphologically Rich Low Resource Languages. - Simon Kasif:
A Trilogy of AI Safety Frameworks: Paths from Facts and Knowledge Gaps to Reliable Predictions and New Knowledge. - Madhurima Deb, Isabel Beckenbach, Matteo Petrera, Dariush Ehsani, Marcel Fuhrmann, Yun Hao, Olaf Teschke, Moritz Schubotz:
An Overview of zbMATH Open Digital Library. - Xuanming Zhang, Yuxuan Chen, Yuan Yuan, Minlie Huang:
Seeker: Enhancing Exception Handling in Code with LLM-based Multi-Agent Approach. - Lijie Hu, Tianhao Huang, Lu Yu, Wanyu Lin, Tianhang Zheng, Di Wang:
Faithful Interpretation for Graph Neural Networks. - Haoda Li, Xinyu An, Rendong Feng, Zhenwei Rong, Zhuoyu Zhang, Zhipeng Li, Liming Zhao, Ying Chen:
Control System Design and Experiments for Autonomous Underwater Helicopter Docking Procedure Based on Acoustic-inertial-optical Guidance. - Alex Berke, Enrico Bacis, Badih Ghazi, Pritish Kamath, Ravi Kumar, Robin Lassonde, Pasin Manurangsi, Umar Syed:
How Unique is Whose Web Browser? The role of demographics in browser fingerprinting among US users. - Junbo Jacob Lian:
Support Vector Boosting Machine (SVBM): Enhancing Classification Performance with AdaBoost and Residual Connections. - Soumyajit Manna, Arijit Sau, Devesh Punera:
Constrained TLBO algorithm for lightweight cable-stiffened scissor-like deployable structures. - Qingxiu Dong, Li Dong, Xingxing Zhang, Zhifang Sui, Furu Wei:
Self-Boosting Large Language Models with Synthetic Preference Data. - Deok-Kyeong Jang, Dongseok Yang, Deok-Yun Jang, Byeoli Choi, Donghoon Shin, Sung-Hee Lee:
ELMO: Enhanced Real-time LiDAR Motion Capture through Upsampling. - Anqi Zhang, Guangyu Gao, Jianbo Jiao, Chi Harold Liu, Yunchao Wei:
Bridge the Points: Graph-based Few-shot Segment Anything Semantically. - Juhyun Oh, Eunsu Kim, Jiseon Kim, Wenda Xu, Inha Cha, William Yang Wang, Alice Oh:
Uncovering Factor Level Preferences to Improve Human-Model Alignment. - Yukun Jiang, Zheng Li, Xinyue Shen, Yugeng Liu, Michael Backes, Yang Zhang:
ModSCAN: Measuring Stereotypical Bias in Large Vision-Language Models from Vision and Language Modalities. - Martin Rudorfer:
RM4D: A Combined Reachability and Inverse Reachability Map for Common 6-/7-axis Robot Arms by Dimensionality Reduction to 4D. - Stefano Fiorini, Giulia M. Bovolenta, Stefano Coniglio, Michele Ciavotta, Pietro Morerio, Michele Parrinello, Alessio Del Bue:
DLGNet: Hyperedge Classification through Directed Line Graphs for Chemical Reactions. - Qiyang Miao, Jiang Xu, Zhihao Song, Chengrui Wang, Yu Cui:
Diamond of Thought: A Design Thinking-Based Framework for LLMs in Wearable Design. - Azree Nazri, Olalekan Agbolade, Faisal Aziz:
Personal Intelligence System UniLM: Hybrid On-Device Small Language Model and Server-Based Large Language Model for Malay Nusantara. - Wietse M. Boon, Nicola R. Franco, Alessio Fumagalli:
Neural network solvers for parametrized elasticity problems that conserve linear and angular momentum. - Wenxuan Bao, Zhichen Zeng, Zhining Liu, Hanghang Tong, Jingrui He:
AdaRC: Mitigating Graph Structure Shifts during Test-Time. - Chenyue Li, Shuoyi Chen, Mang Ye:
Adaptive High-Frequency Transformer for Diverse Wildlife Re-Identification. - Michael Lan, Philip Torr, Austin Meek, Ashkan Khakzar, David Krueger, Fazl Barez:
Sparse Autoencoders Reveal Universal Feature Spaces Across Large Language Models. - Runze Chen, Haiyong Luo, Fang Zhao, Jingze Yu, Yupeng Jia, Juan Wang, Xuepeng Ma:
Structure-Centric Robust Monocular Depth Estimation via Knowledge Distillation. - Shimon Vainer, Konstantin Kutsy, Dante De Nigris, Ciara Rowles, Slava Elizarov, Simon Donné:
Jointly Generating Multi-view Consistent PBR Textures using Collaborative Control. - Akhil Premkumar:
Diffusion Density Estimators. - Adam Samorzewski, Adrian Kliks:
Radio signal propagation in 5G systems equipped with RISs (PL: Propagacja sygnału radiowego w systemach 5G wyposażonych w matryce IPR). - Zexin Sun, John Baillieul:
Structure and Control of Biology-inspired Networks. - Reem Aleithan, Haoran Xue, Mohammad Mahdi Mohajer, Elijah Nnorom, Gias Uddin, Song Wang:
SWE-Bench+: Enhanced Coding Benchmark for LLMs. - Ivan Butakov, Alexander Sememenko, Aleksander Tolmachev, Andrey Gladkov, Marina Munkhoeva, Alexey A. Frolov:
Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax. - Haoda Li, Zichen Liu, Jin Huang, Xinyu An, Ying Chen:
An Improved ESO-Based Line-of-Sight Guidance Law for Path Following of Underactuated Autonomous Underwater Helicopter With Nonlinear Tracking Differentiator and Anti-saturation Controller. - Clemens Bachmann, Alexandra Maximova, Tobias Kohn, Dennis Komm:
WebTigerPython - A Low-Floor High-Ceiling Python IDE for the Browser. - Hao Jiang, Qi Liu, Rui Li, Shengyu Ye, Shijin Wang:
CursorCore: Assist Programming through Aligning Anything. - Leticia Mattos Da Silva, Silvia Sellán, Justin Solomon:
Through the Looking Glass: Mirror Schrödinger Bridges. - Valentin Knappich, Simon Razniewski, Anna Hätty, Annemarie Friedrich:
Pap2Pat: Towards Automated Paper-to-Patent Drafting using Chunk-based Outline-guided Generation. - Philippe Brouillard, Sébastien Lachapelle, Julia Kaltenborn, Yaniv Gurwicz, Dhanya Sridhar, Alexandre Drouin, Peer Nowack, Jakob Runge, David Rolnick:
Causal Representation Learning in Temporal Data via Single-Parent Decoding. - Sebastian G. Gruber, Francis Bach:
Optimizing Estimators of Squared Calibration Errors in Classification. - Chengtao Jian, Kai Yang, Yang Jiao:
Tri-Level Navigator: LLM-Empowered Tri-Level Learning for Time Series OOD Generalization. - Miikka Kuutila, Leevi Rantala, Junhao Li, Simo Hosio, Mika Mäntylä:
What Makes Programmers Laugh? Exploring the Subreddit r/ProgrammerHumor. - Mohammad Omama, Po-han Li, Sandeep P. Chinchali:
Exploiting Distribution Constraints for Scalable and Efficient Image Retrieval. - Yusen Zheng, Yukun Cheng, Chenyang Xu, Xiaotie Deng:
Mechanism Design for Exchange Markets. - Dennis Hein, Zhihong Chen, Sophie Ostmeier, Justin Xu, Maya Varma, Eduardo Pontes Reis, Arne Edward Michalson, Christian Bluethgen, Hyun Joo Shin, Curtis P. Langlotz, Akshay S. Chaudhari:
Preference Fine-Tuning for Factuality in Chest X-Ray Interpretation Models Without Human Feedback. - Arvin Delavari, Faraz Ghoreishy, Hadi Shahriar Shahhoseini, Sattar Mirzakuchaki:
Evaluation of Run-Time Energy Efficiency using Controlled Approximation in a RISC-V Core. - Hongyuan Lu, Shujie Miao, Wai Lam:
Clean Evaluations on Contaminated Visual Language Models. - Zekun Wang, Feiyu Duan, Yibo Zhang, Wangchunshu Zhou, Ke Xu, Wenhao Huang, Jie Fu:
PositionID: LLMs can Control Lengths, Copy and Paste with Explicit Positional Awareness. - Xenia Konti, Hans Riess, Manos Giannopoulos, Yi Shen, Michael J. Pencina, Nicoleta J. Economou-Zavlanos, Michael M. Zavlanos:
Distributionally Robust Clustered Federated Learning: A Case Study in Healthcare. - François Charton, Julia Kempe:
Emergent properties with repeated examples. - Weihao Lin, Shengji Tang, Chong Yu, Peng Ye, Tao Chen:
S2HPruner: Soft-to-Hard Distillation Bridges the Discretization Gap in Pruning. - Aadil Oufkir, Michael X. Cao, Hao-Chung Cheng, Mario Berta:
Exponents for Shared Randomness-Assisted Channel Simulation. - Jinzhe Tan, Hannes Westermann, Nikhil Reddy Pottanigari, Jaromír Savelka, Sébastien Meeùs, Mia Godet, Karim Benyekhlef:
Robots in the Middle: Evaluating LLMs in Dispute Resolution. - Weichuan Wang, Zhaoyi Li, Defu Lian, Chen Ma, Linqi Song, Ying Wei:
Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing. - Sujoy Bhore, Devdan Dey, Satyam Singh:
Online Epsilon Net and Piercing Set for Geometric Concepts. - Mathew C. Francis, Veena Prabhakaran:
Token sliding independent set reconfiguration on block graphs. - Cristian Gutierrez:
TinyEmo: Scaling down Emotional Reasoning via Metric Projection. - Joseph Eisner:
InAttention: Linear Context Scaling for Transformers. - Yuxian Gu, Li Dong, Hongning Wang, Yaru Hao, Qingxiu Dong, Furu Wei, Minlie Huang:
Data Selection via Optimal Control for Language Models. - Seongjin Choi, Zhixiong Jin, Seung Woo Ham, Jiwon Kim, Lijun Sun:
A Gentle Introduction and Tutorial on Deep Generative Models in Transportation Research. - Yixin Liu, Kejian Shi, Alexander R. Fabbri, Yilun Zhao, Peifeng Wang, Chien-Sheng Wu, Shafiq Joty, Arman Cohan:
ReIFE: Re-evaluating Instruction-Following Evaluation. - Thomas Schmied, Fabian Paischer, Vihang Patil, Markus Hofmarcher, Razvan Pascanu, Sepp Hochreiter:
Retrieval-Augmented Decision Transformer: External Memory for In-context RL. - Pravesh Agrawal, Szymon Antoniak, Emma Bou Hanna, Baptiste Bout, Devendra Singh Chaplot, Jessica Chudnovsky, Diogo Costa, Baudouin De Monicault, Saurabh Garg, Théophile Gervet, Soham Ghosh, Amélie Héliou, Paul Jacob, Albert Q. Jiang, Kartik Khandelwal, Timothée Lacroix, Guillaume Lample, Diego de Las Casas, Thibaut Lavril, Teven Le Scao, Andy Lo, William Marshall, Louis Martin, Arthur Mensch, Pavankumar Muddireddy, Valera Nemychnikova, Marie Pellat, Patrick von Platen, Nikhil Raghuraman, Baptiste Rozière, Alexandre Sablayrolles, Lucile Saulnier, Romain Sauvestre, Wendy Shang, Roman Soletskyi, Lawrence Stewart, Pierre Stock, Joachim Studnia, Sandeep Subramanian, Sagar Vaze, Thomas Wang, Sophia Yang:
Pixtral 12B. - Zhengyu Hu, Yichuan Li, Zhengyu Chen, Jingang Wang, Han Liu, Kyumin Lee, Kaize Ding:
Let's Ask GNN: Empowering Large Language Model for Graph In-Context Learning. - Zonglin Yang, Wanhao Liu, Ben Gao, Tong Xie, Yuqiang Li, Wanli Ouyang, Soujanya Poria, Erik Cambria, Dongzhan Zhou:
MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses. - Yishu Li, Wen Hui Leng, Yiming Fang, Ben Eisner, David Held:
FlowBotHD: History-Aware Diffuser Handling Ambiguities in Articulated Objects Manipulation. - Aren A. Babikian, Attila Ficsor, Oszkár Semeráth, Gunter Mussbacher, Dániel Varró:
Automated and Complete Generation of Traffic Scenarios at Road Junctions Using a Multi-level Danger Definition. - Ahmed H. Salamah, Kaixiang Zheng, Yiwen Liu, En-Hui Yang:
JPEG Inspired Deep Learning. - Krishna Garg, Cornelia Caragea:
Stanceformer: Target-Aware Transformer for Stance Detection. - Xiangyu Wang, Donglin Yang, Ziqin Wang, Hohin Kwan, Jinyu Chen, Wenjun Wu, Hongsheng Li, Yue Liao, Si Liu:
Towards Realistic UAV Vision-Language Navigation: Platform, Benchmark, and Methodology. - Zhe Li, Weihao Yuan, Yisheng He, Lingteng Qiu, Shenhao Zhu, Xiaodong Gu, Weichao Shen, Yuan Dong, Zilong Dong, Laurence T. Yang:
LaMP: Language-Motion Pretraining for Motion Generation, Retrieval, and Captioning. - Ebube Alor, Ahmad Abdellatif, SayedHassan Khatoonabadi, Emad Shihab:
An Approach for Auto Generation of Labeling Functions for Software Engineering Chatbots. - Jun Shern Chan, Neil Chowdhury, Oliver Jaffe, James Aung, Dane Sherburn, Evan Mays, Giulio Starace, Kevin Liu, Leon Maksin, Tejal Patwardhan, Lilian Weng, Aleksander Madry:
MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering. - Mingde Zhao, Tristan Sylvain, Doina Precup, Yoshua Bengio:
Identifying and Addressing Delusions for Target-Directed Decision-Making. - Sebastián Gómez Jorge, Jorge A. Solsona, Claudio Alberto Busada, Leire C. Aguirre-Larrayoz, Miren Itsaso Martínez Aguirre, Gerardo Tapia-Otaegui:
Non-linear Control of the Power Injected Into a Weak Grid by a Self-Synchronized Inverter. - Sangwon Yu, Ik-hwan Kim, Jongyoon Song, Saehyung Lee, Junsung Park, Sungroh Yoon:
Unleashing Multi-Hop Reasoning Potential in Large Language Models through Repetition of Misordered Context. - Renat Shigapov, Irene Schumm:
FAIR GPT: A virtual consultant for research data management in ChatGPT. - Gian Maria Campedelli, Nicolò Penzo, Massimo Stefan, Roberto Dessì, Marco Guerini, Bruno Lepri, Jacopo Staiano:
I Want to Break Free! Persuasion and Anti-Social Behavior of LLMs in Multi-Agent Settings with Social Hierarchy. - Hossein Rezaei, Mohammad Sabokrou:
Continual Learning: Less Forgetting, More OOD Generalization via Adaptive Contrastive Replay. - Tony Lee, Haoqin Tu, Chi Heem Wong, Wenhao Zheng, Yiyang Zhou, Yifan Mai, Josselin Somerville Roberts, Michihiro Yasunaga, Huaxiu Yao, Cihang Xie, Percy Liang:
VHELM: A Holistic Evaluation of Vision Language Models. - Renjie Pi, Jianshu Zhang, Tianyang Han, Jipeng Zhang, Rui Pan, Tong Zhang:
Personalized Visual Instruction Tuning. - Joost C. F. de Winter, Dimitra Dodou, Yke Bauke Eisma:
System 2 thinking in OpenAI's o1-preview model: Near-perfect performance on a mathematics exam. - Khalil Mathieu Hannouch, Stephan K. Chalup:
Generating Topologically and Geometrically Diverse Manifold Data in Dimensions Four and Below. - Douba Jafuno, Ammar Mian, Guillaume Ginolhac, Nickolas Stelzenmuller:
Classification of Buried Objects from Ground Penetrating Radar Images by using Second Order Deep Learning Models. - Tagore Rao Kosireddy, Jeffrey D. Wall, Evan Lucas:
Exploring the Readiness of Prominent Small Language Models for the Democratization of Financial Literacy. - Erzhen Hu, Mingyi Li, Jungtaek Hong, Xun Qian, Alex Olwal, David Kim, Seongkook Heo, Ruofei Du:
Thing2Reality: Transforming 2D Content into Conditioned Multiviews and 3D Gaussian Objects for XR Communication. - Anisha Banerjee, Lorenz Welter, Alexandre Graell i Amat, Antonia Wachter-Zeh, Eirik Rosnes:
Sequential Decoding of Multiple Traces Over the Syndrome Trellis for Synchronization Errors. - Anna Tigunova, Thomas Ricatte, Ghadir Eraisha:
Transfer Learning for E-commerce Query Product Type Prediction. - Liangyu Teng, Yang Liu, Jing Liu, Liang Song:
End-Cloud Collaboration Framework for Advanced AI Customer Service in E-commerce. - Kwok P. Chun, Thanti Octavianti, Nilay Dogulu, Hristos Tyralis, Georgia Papacharalampous, Ryan Rowberry, Pingyu Fan, Mark Everard, Maria Francesch-Huidobro, Wellington Migliari, David M. Hannah, John Travis Marshall, Rafael Tolosana Calasanz, Chad Staddon, Ida Ansharyani, Bastien Dieppois, Todd R. Lewis, Juli Ponce, Silvia Ibrean, Tiago Miguel Ferreira, Chinkie Peliño-Golle, Ye Mu, Manuel Delgado, Elizabeth Silvestre Espinoza, Martin Keulertz, Deepak Gopinath, Cheng Li:
Transforming disaster risk reduction with AI and big data: Legal and interdisciplinary perspectives. - Adrian Galdran:
Cross-Task Pretraining for Cross-Organ Cross-Scanner Adenocarcinoma Segmentation. - Lee Mason, Jonas S. Almeida:
A Simplified Positional Cell Type Visualization using Spatially Aggregated Clusters. - Aqs Younas, Arbaz Khan, Hafiz Muhammad Abubakar, Zia Tahseen, Aqeel Arshad, Murtaza Taj, Usman Nazir:
2022 Flood Impact in Pakistan: Remote Sensing Assessment of Agricultural and Urban Damage. - Xuanlong Wu, Peng Zhong, Weihao Lin:
Multi-body dynamic evolution sequence-assisted PSO for interval analysis. - Chen Liu, Tobias Ritschel:
Neural Differential Appearance Equations. - Gleb Kuzmin, Petr Strepetov, Maksim Stankevich, Artem Shelmanov, Ivan V. Smirnov:
Mental Disorders Detection in the Era of Large Language Models. - Wenzhang Yang, Peng Liao, Shangkun Jiang, Hao Wang:
Analysis of vessel traffic flow characteristics in inland restricted waterways using multi-source data. - David Wolpert, Jordan Scharnhorst:
Stochastic Process Turing Machines. - Wenzhang Yang, Peng Liao, Shangkun Jiang, Hao Wang:
Evaluation of waterway lock service quality in Yangtze Delta: from the perspectives of customer and supplier. - Rui Zhao, Hangjie Yuan, Yujie Wei, Shiwei Zhang, Yuchao Gu, Lingmin Ran, Xiang Wang, Jay Zhangjie Wu, Junhao Zhang, Yingya Zhang, Mike Zheng Shou:
EvolveDirector: Approaching Advanced Text-to-Image Generation with Large Vision-Language Models. - Xiaosen Zheng, Tianyu Pang, Chao Du, Qian Liu, Jing Jiang, Min Lin:
Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates. - Kemas Muslim Lhaksmana, Toru Ishida, Aditya Firman Ihsan, Rikman Aherliwan Rudawan:
Advancing Global South University Education with Large Language Models. - Chuhong Yang, Bin Li, Nan Wu:
DSparsE: Dynamic Sparse Embedding for Knowledge Graph Completion. - Haoyu Tang, Louis J. Durlofsky:
Graph Network Surrogate Model for Optimizing the Placement of Horizontal Injection Wells for CO2 Storage. - Steve Jeffrey Tueno Fotso:
Natural Language Query Engine for Relational Databases using Generative AI. - Yingfa Chen, Xinrong Zhang, Shengding Hu, Xu Han, Zhiyuan Liu, Maosong Sun:
Stuffed Mamba: State Collapse and State Capacity of RNN-Based Long-Context Modeling. - Theo Grigorenko, Leo Grigorenko:
Estimation and Confidence Intervals for Mutual Information: Issues in Convergence for Non-Normal Distributions. - Vivian Nguyen, Sang Min Jung, Lillian Lee, Thomas D. Hull, Cristian Danescu-Niculescu-Mizil:
Taking a turn for the better: Conversation redirection throughout the course of mental-health therapy. - Clement Neo, Luke Ong, Philip Torr, Mor Geva, David Krueger, Fazl Barez:
Towards Interpreting Visual Information Processing in Vision-Language Models. - Hrushyang Adloori, Vaishnavi Dasanapu, Abhijith Chandra Mergu:
Graph Network Models To Detect Illicit Transactions In Block Chain. - Donglin Di, He Feng, Wenzhang Sun, Yongjia Ma, Hao Li, Wei Chen, Xiaofei Gou, Tonghua Su, Xun Yang:
FaceVid-1K: A Large-Scale High-Quality Multiracial Human Face Video Dataset. - Yuhang Wen, Mengyuan Liu, Songtao Wu, Beichen Ding:
CHASE: Learning Convex Hull Adaptive Shift for Skeleton-based Multi-Entity Action Recognition. - Mikel Egaña Aranguren:
The Transparent Relations Ontology (TRO): a vocabulary to describe conflicts of interest. - Bohan Zeng, Ling Yang, Siyu Li, Jiaming Liu, Zixiang Zhang, Juanxi Tian, Kaixin Zhu, Yongzhen Guo, Fu-Yun Wang, Minkai Xu, Stefano Ermon, Wentao Zhang:
Trans4D: Realistic Geometry-Aware Transition for Compositional Text-to-4D Synthesis. - Bowen Jin, Ziqi Pang, Bingjun Guo, Yu-Xiong Wang, Jiaxuan You, Jiawei Han:
InstructG2I: Synthesizing Images from Multimodal Attributed Graphs. - Dilyara Bareeva, Galip Ümit Yolcu, Anna Hedström, Niklas Schmolenski, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin:
Quanda: An Interpretability Toolkit for Training Data Attribution Evaluation and Beyond. - Eduardo Noboro Tominaga, Onel Luis Alcaraz López, Tommy Svensson, Richard Demo Souza, Hirley Alves:
On the Spectral Efficiency of D-MIMO Networks under Rician Fading. - Luchuan Song, Lele Chen, Celong Liu, Pinxin Liu, Chenliang Xu:
TextToon: Real-Time Text Toonify Head Avatar from Single Video. - Chongyu Fan, Jiancheng Liu, Licong Lin, Jinghan Jia, Ruiqi Zhang, Song Mei, Sijia Liu:
Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning. - Yukang Cao, Liang Pan, Kai Han, Kwan-Yee K. Wong, Ziwei Liu:
AvatarGO: Zero-shot 4D Human-Object Interaction Generation and Animation. - Changyi Xiao, Yixin Cao:
Complex Logical Query Answering by Calibrating Knowledge Graph Completion Models. - Manling Li, Shiyu Zhao, Qineng Wang, Kangrui Wang, Yu Zhou, Sanjana Srivastava, Cem Gokmen, Tony Lee, Li Erran Li, Ruohan Zhang, Weiyu Liu, Percy Liang, Li Fei-Fei, Jiayuan Mao, Jiajun Wu:
Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making. - Qidong Huang, Xiaoyi Dong, Pan Zhang, Yuhang Zang, Yuhang Cao, Jiaqi Wang, Dahua Lin, Weiming Zhang, Nenghai Yu:
Deciphering Cross-Modal Alignment in Large Vision-Language Models with Modality Integration Rate. - Cheol Jun Cho, Nicholas Lee, Akshat Gupta, Dhruv Agarwal, Ethan Chen, Alan W. Black, Gopala Krishna Anumanchipalli:
Sylber: Syllabic Embedding Representation of Speech from Raw Audio. - Zhuoling Li, Liangliang Ren, Jinrong Yang, Yong Zhao, Xiaoyang Wu, Zhenhua Xu, Xiang Bai, Hengshuang Zhao:
VIRT: Vision Instructed Transformer for Robotic Manipulation. - Fabian Paischer, Lukas Hauzenberger, Thomas Schmied, Benedikt Alkin, Marc Peter Deisenroth, Sepp Hochreiter:
One Initialization to Rule them All: Fine-tuning via Explained Variance Adaptation. - Xinchen Zhang, Ling Yang, Guohao Li, Yaqi Cai, Jiake Xie, Yong Tang, Yujiu Yang, Mengdi Wang, Bin Cui:
IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation. - Pingzhi Li, Prateek Yadav, Jaehong Yoon, Jie Peng, Yi-Lin Sung, Mohit Bansal, Tianlong Chen:
Glider: Global and Local Instruction-Driven Expert Router. - Jona Ruthardt, Gertjan J. Burghouts, Serge J. Belongie, Yuki M. Asano:
Do better language models have crisper vision? - Fei Wang, Xingchen Wan, Ruoxi Sun, Jiefeng Chen, Sercan Ö. Arik:
Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models. - Hanrong Ye, Haotian Zhang, Erik A. Daxberger, Lin Chen, Zongyu Lin, Yanghao Li, Bowen Zhang, Haoxuan You, Dan Xu, Zhe Gan, Jiasen Lu, Yinfei Yang:
MM-Ego: Towards Building Egocentric Multimodal LLMs. - Nasim Sonboli, Sipei Li, Mehdi Elahi, Asia Biega:
The trade-off between data minimization and fairness in collaborative filtering. - Lakpa Dorje Tamang, Mohamed Reda Bouadjenek, Richard Dazeley, Sunil Aryal:
Margin-bounded Confidence Scores for Out-of-Distribution Detection. - Ehsan Ahmadi, Ray Coden Mercurius, Soheil Alizadeh, Kasra Rezaee, Amir Rasouli:
Curb Your Attention: Causal Attention Gating for Robust Trajectory Prediction in Autonomous Driving. - Daiyaan Arfeen, Zhen Zhang, Xinwei Fu, Gregory R. Ganger, Yida Wang:
PipeFill: Using GPUs During Bubbles in Pipeline-parallel LLM Training. - Shengfu Chen, Hailong Liu, Wenzhao Wei:
Technical Report: Competition Solution For Modelscope-Sora. - SK Hasan:
A Realistic Model Reference Computed Torque Control Strategy for Human Lower Limb Exoskeletons. - Camila González, Yanis Miraoui, Yiran Fan, Ehsan Adeli, Kilian M. Pohl:
SpaRG: Sparsely Reconstructed Graphs for Generalizable fMRI Analysis. - João Paulo Dias, Stephen Ekwaro-Osire, Americo Cunha Jr, Shweta Dabetwar, Abraham Nispel, Fisseha M. Alemayehu, Haileyesus B. Endeshaw:
Parametric probabilistic approach for cumulative fatigue damage using double linear damage rule considering limited data. - Rumeshika Pallewela, Eslam Eldeeb, Hirley Alves:
An Analysis of Minimum Error Entropy Loss Functions in Wireless Communications. - Pablo Ezequiel Moraes, Christopher Peters, Hiago Sodre, William Moraes, Sebastian Barcelona, Juan Deniz, Victor Castelli, Bruna Guterres, Ricardo B. Grando:
Behavior Cloning for Mini Autonomous Car Path Following. - Marian Lupascu, Ionut Mironica, Mihai-Sorin Stupariu:
Neural Contrast: Leveraging Generative Editing for Graphic Design Recommendations. - Gabriel Sanfins, Fabio Ramos, Danilo Naiff:
Similarity Learning with neural networks. - Yufeng Song, Jinquan Luo:
Hull's Parameters of Projective Reed-Muller Code. - Di Wu, Zijian Wu, Yuelong Qiu, Shen Fu, Yong Zeng:
CKMImageNet: A Comprehensive Dataset to Enable Channel Knowledge Map Construction via Computer Vision. - Paulo Roberto Pereira Santiago, Abel Gonçalves Chinaglia, Kira Flanagan, Bruno L. S. Bedo, Ligia Yumi Mochida, Juan Aceros, Aline Bononi, Guilherme Manna Cesar:
vailá: Versatile Anarcho Integrated Liberation Ánalysis in Multimodal Toolbox. - Taelin Karidi, Eitan Grossman, Omri Abend:
Locally Measuring Cross-lingual Lexical Alignment: A Domain and Word Level Perspective. - Oliver Niggemann, Gautam Biswas, Alexander Diedrich, Jonas Ehrhardt, René Heesch, Niklas Widulle:
AAAI Workshop on AI Planning for Cyber-Physical Systems - CAIPI24. - Zhiting Ma, Juntao Huang:
Uniform accuracy of implicit-explicit Runge-Kutta methods for linear hyperbolic relaxation systems. - Mohamed Fartitchou, Ismail Lamaakal, Khalid El Makkaoui, Zakaria El Allali, Yassine Maleh:
BlockMEDC: Blockchain Smart Contracts for Securing Moroccan Higher Education Digital Certificates. - Sanchayan Dutta, Suvrit Sra:
Memory-augmented Transformers can implement Linear First-Order Optimization Methods. - Cong Guo, Feng Cheng, Zhixu Du, James Kiessling, Jonathan Ku, Shiyu Li, Ziru Li, Mingyuan Ma, Tergel Molom-Ochir, Benjamin Morris, Haoxuan Shan, Jingwei Sun, Yitu Wang, Chiyue Wei, Xueying Wu, Yuhao Wu, Hao Frank Yang, Jingyang Zhang, Junyao Zhang, Qilin Zheng, Guanglei Zhou, Hai Li, Yiran Chen:
A Survey: Collaborative Hardware and Software Design in the Era of Large Language Models. - Weixing Zhang, Zongrui Li, De Ma, Huajin Tang, Xudong Jiang, Qian Zheng, Gang Pan:
Spiking GS: Towards High-Accuracy and Low-Cost Surface Reconstruction via Spiking Neuron-based Gaussian Splatting. - Yuxin Li, Yiheng Li, Xulei Yang, Mengying Yu, Zihang Huang, Xiaojun Wu, Chai Kiat Yeo:
Learning Content-Aware Multi-Modal Joint Input Pruning via Bird's-Eye-View Representation. - Zhenyu Xu, Victor S. Sheng:
Multi-Task Program Error Repair and Explanatory Diagnosis. - Qinglun Li, Miao Zhang, Yingqi Liu, Quanjun Yin, Li Shen, Xiaochun Cao:
Boosting the Performance of Decentralized Federated Learning via Catalyst Acceleration. - Fangyikang Wang, Hubery Yin, Yuejiang Dong, Huminhao Zhu, Chao Zhang, Hanbin Zhao, Hui Qian, Chen Li:
BELM: Bidirectional Explicit Linear Multi-step Sampler for Exact Inversion in Diffusion Models. - Alice Delbosc, Magalie Ochs, Nicolas Sabouret, Brian Ravenet, Stéphane Ayache:
Mitigation of gender bias in automatic facial non-verbal behaviors generation. - Yingen Liu, Fan Wu, Ruihui Li, Zhuo Tang, Kenli Li:
Retrieval Replace Reduction: An effective visual token reduction method via semantic match. - Danny Y. C. Wang, Lars Arne Jordanger, Jerry Chun-Wei Lin:
A Utility-Mining-Driven Active Learning Approach for Analyzing Clickstream Sequences. - Donghyun Lee, Mo Tiwari:
Prompt Infection: LLM-to-LLM Prompt Injection within Multi-Agent Systems. - Zhilong Li, Xiaohu Wu, Xiaoli Tang, Tiantian He, Yew-Soon Ong, Mengmeng Chen, Qiqi Liu, Qicheng Lao, Han Yu:
Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning. - Jose Antonio Martin H., Freddy Jose Perozo Rondon, Manuel Lopez:
Principal Orthogonal Latent Components Analysis (POLCA Net). - Shubham Ugare, Rohan Gumaste, Tarun Suresh, Gagandeep Singh, Sasa Misailovic:
IterGen: Iterative Structured LLM Generation. - Gaoge Han, Mingjiang Liang, Jinglei Tang, Yongkang Cheng, Wei Liu, Shaoli Huang:
ReinDiffuse: Crafting Physically Plausible Motions with Reinforced Diffusion Model. - Marcus Vinicius Leal de Carvalho, Roberto Simoni, Leopoldo Rideki Yoshioka:
Autonomous Navigation and Collision Avoidance for Mobile Robots: Classification and Review. - Christofel Rio Goenawan, Kevin Tirta Wijaya, Seung-Hyun Kong:
Enhancing Performance of Point Cloud Completion Networks with Consistency Loss. - Özgün Turgut, Philip Müller, Martin J. Menten, Daniel Rueckert:
Towards Generalisable Time Series Understanding Across Domains. - Hana Matatov, Marianne Aubin Le Quéré, Ofra Amir, Mor Naaman:
Examining the Prevalence and Dynamics of AI-Generated Media in Art Subreddits. - Fu-Yun Wang, Ling Yang, Zhaoyang Huang, Mengdi Wang, Hongsheng Li:
Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow. - Basile Garcia, Crystal Qian, Stefano Palminteri:
The Moral Turing Test: Evaluating Human-LLM Alignment in Moral Decision-Making. - Abdulla Alourani, Shahnawaz Khan:
A Blockchain and Artificial Intelligence based System for Halal Food Traceability. - Yiming Huang, Jianwen Luo, Yan Yu, Yitong Zhang, Fangyu Lei, Yifan Wei, Shizhu He, Lifu Huang, Xiao Liu, Jun Zhao, Kang Liu:
DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models. - Sara Sarto, Nicholas Moratelli, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara:
Positive-Augmented Contrastive Learning for Vision-and-Language Evaluation and Training. - Peng Jin, Bo Zhu, Li Yuan, Shuicheng Yan:
MoE++: Accelerating Mixture-of-Experts Methods with Zero-Computation Experts. - Ioannis Zachos, Mark Girolami, Theodoros Damoulas:
Generating Origin-Destination Matrices in Neural Spatial Interaction Models. - Shaheer Khan, Mustafa Hammood, Nicolas A. F. Jaeger, Lukas Chrostowski:
Fabrication-Aware Inverse Design For Shape Optimization. - Haocheng Xu, Haotian Hu, Sitao Huang:
Optimizing High-Level Synthesis Designs with Retrieval-Augmented Large Language Models. - Javier López-Zambrano, Juan Alfonso Lara, Cristóbal Romero:
Improving the portability of predicting students performance models by using ontologies. - Robert Reed, Morteza Lahijanian:
Learning-Based Shielding for Safe Autonomy under Unknown Dynamics. - Hope Schroeder, Marianne Aubin Le Quéré, Casey Randazzo, David Mimno, Sarita Schoenebeck:
Large Language Models in Qualitative Research: Can We Do the Data Justice? - Sam Gunn, Xuandong Zhao, Dawn Song:
An undetectable watermark for generative image models. - Maleknaz Nayebi, Konstantin Kuznetsov, Andreas Zeller, Guenther Ruhe:
Recommending and Release Planning of User-Driven Functionality Deletion for Mobile Apps. - Alessia Andò, Jan Sieber:
Boundary-value problems of functional differential equations with state-dependent delays. - Bo Sun, Hossein Nekouyan Jazi, Xiaoqi Tan, Raouf Boutaba:
Static Pricing for Online Selection Problem and its Variants. - Wei Zhao, Anand Jayarajan, Gennady Pekhimenko:
Tally: Non-Intrusive Performance Isolation for Concurrent Deep Learning Workloads. - Adam Ganczorz, Tomasz Jurdzinski, Andrzej Pelc:
Optimal-Length Labeling Schemes for Fast Deterministic Communication in Radio Networks. - Viktoria Chekalina, Anna Rudenko, Gleb Mezentsev, Alexander Mikhalev, Alexander Panchenko, Ivan V. Oseledets:
SparseGrad: A Selective Method for Efficient Fine-tuning of MLP Layers. - Riley C. W. O'Neill, Katrina Yezzi-Woodley, Jeff Calder, Peter J. Olver:
En masse scanning and automated surfacing of small objects using Micro-CT. - Qiheng Lu, Nicholas D. Sidiropoulos, Aritra Konar:
On Densest k-Subgraph Mining and Diagonal Loading. - Aris L. Moustakas, George C. Alexandropoulos:
MIMO MAC Empowered by Reconfigurable Intelligent Surfaces: Capacity Region and Large System Analysis. - Isaac R. Galatzer-Levy, David Munday, Jed McGiffin, Xin Liu, Danny Karmon, Ilia Labzovsky, Rivka Moroshko, Amir Zait, Daniel McDuff:
The Cognitive Capabilities of Generative AI: A Comparative Analysis with Human Benchmarks. - Negar Nejatishahidin, Madhukar Reddy Vongala, Jana Kosecka:
Structured Spatial Reasoning with Open Vocabulary Object Detectors. - Yibo Zeng, Jiashuo Liu, Henry Lam, Hongseok Namkoong:
LLM Embeddings Improve Test-time Adaptation to Tabular Y|X-Shifts. - Kevin Zhang, Hod Lipson:
Aligning AI-driven discovery with human intuition. - Thennal D. K, Jesin James, Deepa P. Gopinath, Muhammed Ashraf K:
Advocating Character Error Rate for Multilingual ASR Evaluation. - Nikolay S. Falaleev, Ruilong Chen:
Enhancing Soccer Camera Calibration Through Keypoint Exploitation. - Shaunak A. Mehta, Rana Soltani-Zarrin:
On the Feasibility of A Mixed-Method Approach for Solving Long Horizon Task-Oriented Dexterous Manipulation. - Alain Andres, Javier Del Ser:
Fostering Intrinsic Motivation in Reinforcement Learning with Pretrained Foundation Models. - Karan Samel, Apoorva Beedu, Nitish Sontakke, Irfan Essa:
Exploring Efficient Foundational Multi-modal Models for Video Summarization. - Haocheng Xu, Faraz Tahmasebi, Ye Qiao, Hongzheng Tian, Hyoukjun Kwon, Sitao Huang:
Optimized Spatial Architecture Mapping Flow for Transformer Accelerators. - Tianyuan Dai, Josiah Wong, Yunfan Jiang, Chen Wang, Cem Gokmen, Ruohan Zhang, Jiajun Wu, Li Fei-Fei:
Automated Creation of Digital Cousins for Robust Policy Learning. - Isaac Remy, David Fridovich-Keil, Karen Leung:
Learning responsibility allocations for multi-agent interactions: A differentiable optimization approach with control barrier functions. - Leonid Pogorelyuk, Stefan T. Radev:
Aligning Motion-Blurred Images Using Contrastive Learning on Overcomplete Pixels. - Deep Parikh, Thomas L. Ahrens, Manoranjan Majji:
A Rapid Trajectory Optimization and Control Framework for Resource-Constrained Applications. - Tao Zhang, Rajagopal Venkatesaramani, Rajat K. De, Bradley A. Malin, Yevgeniy Vorobeychik:
Bayes-Nash Generative Privacy Protection Against Membership Inference Attacks. - Sankarshan Dasgupta:
3D2M Dataset: A 3-Dimension diverse Mesh Dataset. - Adam Korycki, Cory Yeaton, Gregory S. Gilbert, Colleen Josephson, Steve McGuire:
NeRF-Accelerated Ecological Monitoring in Mixed-Evergreen Redwood Forest. - Przemyslaw Polewski, Jacquelyn Shelton, Wei Yao, Marco Heurich:
Segmenting objects with Bayesian fusion of active contour models and convnet priors. - Jade Kandel, Sriya Kasumarthi, Danielle Albers Szafir:
Understanding User Needs for Injury Recovery with Augmented Reality. - Kamil Khan, Sudeep Pasricha:
CAFEEN: A Cooperative Approach for Energy Efficient NoCs with Multi-Agent Reinforcement Learning. - Samy Wu Fung, Benjamin Berkels:
A Generalization Bound for a Family of Implicit Networks. - Gavin Kerrigan, Kai Nelson, Padhraic Smyth:
EventFlow: Forecasting Continuous-Time Event Data with Flow Matching. - Antonio M. Mercado-Martínez, Beatriz Soret, Antonio Jurado-Navas:
Goal-oriented vessel detection with distributed computing in a LEO satellite constellation. - Leyan Pan, Vijay Ganesh, Jacob D. Abernethy, Chris Esposo, Wenke Lee:
Can Transformers Reason Logically? A Study in SAT Solving. - Ange Lou, Yamin Li, Yike Zhang, Jack H. Noble:
Surgical Depth Anything: Depth Estimation for Surgical Scenes using Foundation Models. - Georgia Channing, Juil Sock, Ronald Clark, Philip Torr, Christian Schröder de Witt:
Toward Robust Real-World Audio Deepfake Detection: Closing the Explainability Gap. - Alina Ciocarlan, Sylvie Le Hégarat-Mascle, Sidonie Lefebvre, Arnaud Woiselle:
Robust infrared small target detection using self-supervised and a contrario paradigms. - Sumeet Batra, Gaurav S. Sukhatme:
Zero-Shot Generalization of Vision-Based RL Without Data Augmentation. - Alina Ciocarlan, Sidonie Lefebvre, Sylvie Le Hégarat-Mascle, Arnaud Woiselle:
Self-Supervised Learning for Real-World Object Detection: a Survey. - Md. Abrar Jahin, Md. Akmol Masud, Muhammad Firoz Mridha, Zeyar Aung, Nilanjan Dey:
KACQ-DCNN: Uncertainty-Aware Interpretable Kolmogorov-Arnold Classical-Quantum Dual-Channel Neural Network for Heart Disease Detection. - Mohammed Misbah Zarrar, Qitao Weng, Bakhbyergyen Yerjan, Ahmet Soyyigit, Heechul Yun:
TinyLidarNet: 2D LiDAR-based End-to-End Deep Learning Model for F1TENTH Autonomous Racing. - Samuel Tovey, Sven Krippendorf, Michael Spannowsky, Konstantin Nikolaou, Christian Holm:
Collective variables of neural networks: empirical time evolution and scaling laws. - Constantin Venhoff, Anisoara Calinescu, Philip Torr, Christian Schröder de Witt:
SAGE: Scalable Ground Truth Evaluations for Large Sparse Autoencoders. - Vijeth Hebbar, Cédric Langbort:
Responding to Promises: No-regret learning against followers with memory. - Jinwook Rhyu, Joachim Schaeffer, Michael L. Li, Xiao Cui, William C. Chueh, Martin Z. Bazant, Richard D. Braatz:
Systematic Feature Design for Cycle Life Prediction of Lithium-Ion Batteries During Formation. - Anastasiia Tkalich, Eriks Klotins, Tor Sporsem, Viktoria Stray, Nils Brede Moe, Astri Barbala:
User Feedback in Continuous Software Engineering: Revealing the State-of-Practice. - Yuxuan Wen, Evgenia Roussinova, Olivier Brina, Paolo Machi, Mohamed Bouri:
Generalizing Segmentation Foundation Model Under Sim-to-real Domain-shift for Guidewire Segmentation in X-ray Fluoroscopy. - Abhinav Bandari, Lu Yin, Cheng-Yu Hsieh, Ajay Kumar Jaiswal, Tianlong Chen, Li Shen, Ranjay Krishna, Shiwei Liu:
Is C4 Dataset Optimal for Pruning? An Investigation of Calibration Data for LLM Pruning. - Susan Liang, Chao Huang, Yapeng Tian, Anurag Kumar, Chenliang Xu:
Language-Guided Joint Audio-Visual Editing via One-Shot Adaptation. - Shixu Meng, Daniel Appelö, Yingda Cheng:
Preconditioning Low Rank Generalized Minimal Residual Method (GMRES) for Implicit Discretizations of Matrix Differential Equations. - Matthew Rodriguez, Vitaly Aksenov, Michael F. Spear:
Skip Hash: A Fast Ordered Map Via Software Transactional Memory. - Artem Yadrov, Pavel Panchekha:
Fast Real Evaluation Through Sound Mixed-Precision Tuning. - Han Shen, Pin-Yu Chen, Payel Das, Tianyi Chen:
SEAL: Safety-enhanced Aligned LLM Fine-tuning via Bilevel Data Selection. - Shoaib Ahmed Siddiqui, Jean Kossaifi, Boris Bonev, Christopher B. Choy, Jan Kautz, David Krueger, Kamyar Azizzadenesheli:
Exploring the design space of deep-learning-based weather forecasting systems. - Arie Cattan, Paul Roit, Shiyue Zhang, David Wan, Roee Aharoni, Idan Szpektor, Mohit Bansal, Ido Dagan:
Localizing Factual Inconsistencies in Attributable Text Generation. - Rohit Mohan, Daniele Cattaneo, Florian Drews, Abhinav Valada:
Progressive Multi-Modal Fusion for Robust 3D Object Detection. - Wilson Wu, Louis Jaburi, Jacob Drori, Jason Gross:
Unifying and Verifying Mechanistic Interpretations: A Case Study with Group Operations. - Siyu Zhou, Tianyi Zhou, Yijun Yang, Guodong Long, Deheng Ye, Jing Jiang, Chengqi Zhang:
WALL-E: World Alignment by Rule Learning Improves World Model-based LLM Agents. - Hafiz Tayyab Rauf, Alex Bogatu, Norman W. Paton, André Freitas:
Gem: Gaussian Mixture Model Embeddings for Numerical Feature Distributions. - Damien Masson, Zixin Zhao, Fanny Chevalier:
Visual Writing: Writing by Manipulating Visual Representations of Stories. - Toby Simonds, Kemal Kurniawan, Jey Han Lau:
MoDEM: Mixture of Domain Expert Models. - Cindy Tseng, Yun Tang, Vijendra Raj Apsingekar:
Transducer Consistency Regularization for Speech to Text Applications. - Jesse Haworth, Rishi Biswas, Justin D. Opfermann, Michael Kam, Yaning Wang, Desire Pantalone, Francis X. Creighton, Robin Yang, Jin U. Kang, Axel Krieger:
Autonomous Robotic System with Optical Coherence Tomography Guidance for Vascular Anastomosis. - Riya Arora, Niveditha Narendranath, Aman Tambi, Sandeep S. Zachariah, Souvik Chakraborty, Rohan Paul:
G2TR: Generalized Grounded Temporal Reasoning for Robot Instruction Following by Combining Large Pre-trained Models. - Leandro Carísio Fernandes, Guilherme Zeferino Rodrigues Dobins, Roberto de Alencar Lotufo, Jayr Alencar Pereira:
PublicHearingBR: A Brazilian Portuguese Dataset of Public Hearing Transcripts for Summarization of Long Documents. - Qingyun Chen, Nick Gravin, Sungjin Im:
Strategic Facility Location via Predictions. - Tianyuan Liu, Libin Hou, Linyuan Wang, Xiyu Song, Bin Yan:
Dense Optimizer : An Information Entropy-Guided Structural Search Method for Dense-like Neural Network Design. - Zhizheng Liu, Joe Lin, Wayne Wu, Bolei Zhou:
Learning to Generate Diverse Pedestrian Movements from Web Videos with Noisy Labels. - Suryanarayana Maddu, Victor Chardès, Michael J. Shelley:
Inferring biological processes with intrinsic noise from cross-sectional data. - Daogao Liu, Kunal Talwar:
Adaptive Batch Size for Privately Finding Second-Order Stationary Points. - Morgan A. Gray, Jaromír Savelka, Wesley M. Oliver, Kevin D. Ashley:
Using LLMs to Discover Legal Factors. - Wenyuan Liu, Xindian Ma, Peng Zhang, Yan Wang:
CrossQuant: A Post-Training Quantization Method with Smaller Quantization Kernel for Precise Large Language Model Compression. - Abhijit Mishra, Shreya Shukla, Jose Torres, Jacek Gwizdka, Shounak Roychowdhury:
Thought2Text: Text Generation from EEG Signal using Large Language Models (LLMs). - Fangyuan Ma, Cheng Ji, Jingde Wang, Wei Sun, Xun Tang, Zheyu Jiang:
MOLA: Enhancing Industrial Process Monitoring Using Multi-Block Orthogonal Long Short-Term Memory Autoencoder. - Yiru Pan, Xingyu Ji, Jiaqi You, Lu Li, Zhenping Liu, Xianlong Zhang, Zeyu Zhang, Maojun Wang:
CSGDN: Contrastive Signed Graph Diffusion Network for Predicting Crop Gene-phenotype Associations. - Julian Katz-Samuels, Zheng Li, Hyokun Yun, Priyanka Nigam, Yi Xu, Vaclav Petricek, Bing Yin, Trishul Chilimbi:
Evolutionary Contrastive Distillation for Language Model Alignment. - Misra Yavuz, Fatma Güney:
O1O: Grouping of Known Classes to Identify Unknown Objects as Odd-One-Out. - Pengyu Xue, Linhao Wu, Zhen Yang, Xinyi Li, Zhongxing Yu, Zhi Jin, Ge Li, Yan Xiao, Jingwen Wu:
Exploring and Lifting the Robustness of LLM-powered Automated Program Repair with Metamorphic Testing. - David Tench, Evan T. West, Kenny Zhang, Michael Bender, Daniel DeLayo, Martin Farach-Colton, Gilvir Gill, Tyler Seip, Victor Zhang:
Exploring the Landscape of Distributed Graph Sketching. - Yaoyao Long, Zhenming Liu, Cong Hao, Farrokh Ayazi:
MEMS Gyroscope Multi-Feature Calibration Using Machine Learning Technique. - Tarun Jain, Yufei Gao, Sridhar Vanga, Karan Singla:
News Reporter: A Multi-lingual LLM Framework for Broadcast T.V News. - Shan Xie, Man Luo, Chadly Daniel Stern, Mengnan Du, Lu Cheng:
DemoShapley: Valuation of Demonstrations for In-Context Learning. - Ethan He, Abhinav Khattar, Ryan Prenger, Vijay Korthikanti, Zijie Yan, Tong Liu, Shiqing Fan, Ashwath Aithal, Mohammad Shoeybi, Bryan Catanzaro:
Upcycling Large Language Models into Mixture of Experts. - Nan Fang, Guiliang Liu, Wei Gong:
Offline Inverse Constrained Reinforcement Learning for Safe-Critical Decision Making in Healthcare. - Lingbing Guo, Zhongpu Bo, Zhuo Chen, Yichi Zhang, Jiaoyan Chen, Yarong Lan, Mengshu Sun, Zhiqiang Zhang, Yangyifei Luo, Qian Li, Qiang Zhang, Wen Zhang, Huajun Chen:
MKGL: Mastery of a Three-Word Language. - Vineet Jagadeesan Nair:
Enhanced physics-informed neural networks (PINNs) for high-order power grid dynamics. - Hulingxiao He, Yaqi Zhang, Jinglin Xu, Yuxin Peng:
CountMamba: Exploring Multi-directional Selective State-Space Models for Plant Counting. - Alican Akman, Qiyang Sun, Björn W. Schuller:
Audio Explanation Synthesis with Generative Foundation Models. - Haiyue Ma, Jian Liu, Ronny Krashinsky:
Reducing the Cost of Dropout in Flash-Attention by Hiding RNG with GEMM. - Haolin Liu, Artin Tajdini, Andrew Wagenmaker, Chen-Yu Wei:
Corruption-Robust Linear Bandits: Minimax Optimality and Gap-Dependent Misspecification. - Yu-Zhe Shi, Haotian Li, Lecheng Ruan, Huamin Qu:
Constraint representation towards precise data-driven storytelling. - Ruoyi Du, Dongyang Liu, Le Zhuo, Qin Qi, Hongsheng Li, Zhanyu Ma, Peng Gao:
I-Max: Maximize the Resolution Potential of Pre-trained Rectified Flow Transformers with Projected Flow. - Lirong Fu, Peiyu Liu, Wenlong Meng, Kangjie Lu, Shize Zhou, Xuhong Zhang, Wenzhi Chen, Shouling Ji:
Understanding the AI-powered Binary Code Similarity Detection. - Wenshui Luo, Haoyu Liu, Yongliang Ding, Tao Zhou, Sheng Wan, Runze Wu, Minmin Lin, Cong Zhang, Changjie Fan, Chen Gong:
Rank Aggregation in Crowdsourcing for Listwise Annotations. - Guankun Wang, Han Xiao, Huxin Gao, Renrui Zhang, Long Bai, Xiaoxiao Yang, Zhen Li, Hongsheng Li, Hongliang Ren:
CoPESD: A Multi-Level Surgical Motion Dataset for Training Large Vision-Language Models to Co-Pilot Endoscopic Submucosal Dissection. - M. D. Arafat Kabir, Tendayi Kamucheka, Nathaniel Fredricks, Joel Mandebi, Jason D. Bakos, Miaoqing Huang, David Andrews:
The BRAM is the Limit: Shattering Myths, Shaping Standards, and Building Scalable PIM Accelerators. - Zecheng Hao, Yifan Huang, Zijie Xu, Zhaofei Yu, Tiejun Huang:
Comprehensive Online Training and Deployment for Spiking Neural Networks. - Xukai Liu, Ye Liu, Kai Zhang, Kehang Wang, Qi Liu, Enhong Chen:
OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Prompting. - Weizhu Qian, Dalin Zhang, Yan Zhao:
Conditional Lagrangian Wasserstein Flow for Time Series Imputation. - Ha Thanh Nguyen, Ken Satoh:
KRAG Framework for Enhancing LLMs in the Legal Domain. - Timothy Ossowski, Jixuan Chen, Danyal Maqbool, Zefan Cai, Tyler J. Bradshaw, Junjie Hu:
COMMA: A Communicative Multimodal Multi-Agent Benchmark. - Wenhai Liu, Junbo Wang, Yiming Wang, Weiming Wang, Cewu Lu:
ForceMimic: Force-Centric Imitation Learning with Force-Motion Capture System for Contact-Rich Manipulation. - Kazuki Kai, Duc Long Le, Hirotaka Sato:
Streamlined shape of cyborg cockroach promotes traversability in confined environments by gap negotiation. - Jacqueline Whalley, Asanthika Imbulpitiya, Tony Clear, Harley Ogier:
From student to working professional: A graduate survey. - Xiawei Liu, Shiyue Yang, Xinnong Zhang, Haoyu Kuang, Libo Sun, Yihang Yang, Siming Chen, Xuanjing Huang, Zhongyu Wei:
AI-Press: A Multi-Agent News Generating and Feedback Simulation System Powered by Large Language Models. - Kenshin Abe, Kaizaburo Chubachi, Yasuhiro Fujita, Yuta Hirokawa, Kentaro Imajo, Toshiki Kataoka, Hiroyoshi Komatsu, Hiroaki Mikami, Tsuguo Mogami, Shogo Murai, Kosuke Nakago, Daisuke Nishino, Toru Ogawa, Daisuke Okanohara, Yoshihiko Ozaki, Shotaro Sano, Shuji Suzuki, Tianqi Xu, Toshihiko Yanase:
PLaMo-100B: A Ground-Up Language Model Designed for Japanese Proficiency. - Hongpeng Jin, Yanzhao Wu:
Boosting Deep Ensembles with Learning Rate Tuning. - Aadityan Ganesh, Clayton Thomas, S. Matthew Weinberg:
Revisiting the Primitives of Transaction Fee Mechanism Design. - Enrique Noriega-Atala, Robert Vacareanu, Salena Torres Ashton, Adarsh Pyarelal, Clayton T. Morrison, Mihai Surdeanu:
When and Where Did it Happen? An Encoder-Decoder Model to Identify Scenario Context. - Seongyun Lee, Geewook Kim, Jiyeon Kim, Hyunji Lee, Hoyeon Chang, Sue Hyun Park, Minjoon Seo:
How Does Vision-Language Adaptation Impact the Safety of Vision Language Models? - Di Cao, Yong Liao, Xiuwei Shang:
RealVul: Can We Detect Vulnerabilities in Web Applications with LLM? - Guanqi He, Yogita Choudhary, Guanya Shi:
Self-Supervised Meta-Learning for All-Layer DNN-Based Adaptive Control with Stability Guarantees. - Qucheng Peng, Benjamin Planche, Zhongpai Gao, Meng Zheng, Anwesa Choudhuri, Terrence Chen, Chen Chen, Ziyan Wu:
3D Vision-Language Gaussian Splatting. - Ruonan Yu, Songhua Liu, Jingwen Ye, Xinchao Wang:
Teddy: Efficient Large-Scale Dataset Distillation via Taylor-Approximated Matching. - Gyuwan Kim, Yang Li, Evangelia Spiliopoulou, Jie Ma, Miguel Ballesteros, William Yang Wang:
Detecting Training Data of Large Language Models via Expectation Maximization. - Jianxin Bi, Kelvin Lim, Kaiqi Chen, Yifei Huang, Harold Soh:
Imitation Learning with Limited Actions via Diffusion Planners and Deep Koopman Controllers. - Thomas Sandholm, Sayandev Mukherjee, Bernardo A. Huberman:
A Cloud in the Sky: Geo-Aware On-board Data Services for LEO Satellites. - Shang Ma, Chaoran Chen, Shao Yang, Shifu Hou, Toby Jia-Jun Li, Xusheng Xiao, Tao Xie, Yanfang Ye:
Careful About What App Promotion Ads Recommend! Detecting and Explaining Malware Promotion via App Promotion Graph. - Mengxuan Hu, Hongyi Wu, Zihan Guan, Ronghang Zhu, Dongliang Guo, Daiqing Qi, Sheng Li:
No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in LLMs, Even for Vigilant Users. - Songshuo Lu, Hua Wang, Yutian Rong, Zhi Chen, Yaohua Tang:
TurboRAG: Accelerating Retrieval-Augmented Generation with Precomputed KV Caches for Chunked Text. - Ran Liu, Zhongzhou Liu, Xiaoli Li, Hao Wu, Yuan Fang:
Diversified and Adaptive Negative Sampling on Knowledge Graphs. - Hoin Jung, Taeuk Jang, Xiaoqian Wang:
A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks. - Sophia Chen, Annie Peng, Ava Chen, Takyiu Liu:
Design and Characterization of High Efficiency Single-stage Electromagnetic Coil Guns. - Xinghui Li, Yuchen Ji, Xiansong Lai, Wanting Zhang:
Fine-detailed Neural Indoor Scene Reconstruction using multi-level importance sampling and multi-view consistency. - Feng Wang, Timing Yang, Yaodong Yu, Sucheng Ren, Guoyizhe Wei, Angtian Wang, Wei Shao, Yuyin Zhou, Alan L. Yuille, Cihang Xie:
Causal Image Modeling for Efficient Visual Understanding. - Jaekyeong Lee, Geonung Kim, Sunghyun Cho:
RNA: Video Editing with ROI-based Neural Atlas. - Hiroki Shibata, Masakazu Ishihata, Shunsuke Inenaga:
Packed Acyclic Deterministic Finite Automata. - Christopher James Augeri, Barry E. Mullins, Leemon C. Baird III, Dursun A. Bulutoglu, Rusty O. Baldwin:
An Analysis of XML Compression Efficiency. - Chao Wang, Shaofan Li:
A Variational Bayesian Inference Theory of Elasticity and Its Mixed Probabilistic Finite Element Method for Inverse Deformation Solutions in Any Dimension. - Gidon Han, Jeongwoo Park, Changjoo Nam:
Stop-N-Go: Search-based Conflict Resolution for Motion Planning of Multiple Robotic Manipulators. - Deborah M. Buehler, Mark J. Daley, Kyle Demes:
Assessing the impacts of convening experts: a bibliometric analysis of a research program spanning four decades. - Po-han Li, Sandeep P. Chinchali, Ufuk Topcu:
CSA: Data-efficient Mapping of Unimodal Features to Multimodal Features. - Zhenyu Tao, Wei Xu, Xiaohu You:
Parallel Digital Twin-driven Deep Reinforcement Learning for User Association and Load Balancing in Dynamic Wireless Networks. - Wanrong Yang, Alberto Acuto, Yihang Zhou, Dominik Wojtczak:
A Survey for Deep Reinforcement Learning Based Network Intrusion Detection. - S. Park, J. Kim:
Explainability of Deep Neural Networks for Brain Tumor Detection. - Matthew Zurek, Yudong Chen:
The Plug-in Approach for Average-Reward and Discounted MDPs: Optimal Sample Complexity Analysis. - Ao Ke, Wenlong Chen, Chuanwen Feng, Yukun Cao, Xike Xie, S. Kevin Zhou, Lei Feng:
Prototype-based Optimal Transport for Out-of-Distribution Detection. - Kaiyuan Liu, Jiahao Mei, Hengyu Zhang, Yihuai Zhang, Xingjiao Wu, Daoguo Dong, Liang He:
Moyun: A Diffusion-Based Model for Style-Specific Chinese Calligraphy Generation. - Aravinda Reddy P. N, Raghavendra Ramachandra, Sushma Venkatesh, Krothapalli Sreenivasa Rao, Pabitra Mitra, Rakesh Krishna:
MorCode: Face Morphing Attack Generation using Generative Codebooks. - Zirui Zhao, Hanze Dong, Amrita Saha, Caiming Xiong, Doyen Sahoo:
Automatic Curriculum Expert Iteration for Reliable LLM Reasoning. - Andric Li, Grace Luo, Christopher Tao, Diego Zuluaga:
Secure Wearable Apps for Remote Healthcare Through Modern Cryptography. - Da Kong, Vadim Indelman:
Simplified POMDP Planning with an Alternative Observation Space and Formal Performance Guarantees. - Guy Smorodinsky, Gal Vardi, Itay Safran:
Provable Privacy Attacks on Trained Shallow Neural Networks. - Dongliang Zhang, Yunfei Li, Jiaran Zhou, Yuezun Li:
DPL: Cross-quality DeepFake Detection via Dual Progressive Learning. - Tsubasa Mizuno, Toru Tamaki:
Shift and matching queries for video semantic segmentation. - Yunlong Hou, Vincent Y. F. Tan, Zixin Zhong:
Almost Minimax Optimal Best Arm Identification in Piecewise Stationary Linear Bandits. - Marko Tuononen, Ville Hautamäki:
Improving Numerical Stability of Normalized Mutual Information Estimator on High Dimensions. - Zhinuo Zhou, Peng Zhou, Xiaoyong Pan:
FLIER: Few-shot Language Image Models Embedded with Latent Representations. - Minchan Kwon, Gaeun Kim, Jongsuk Kim, Haeil Lee, Junmo Kim:
StablePrompt: Automatic Prompt Tuning using Reinforcement Learning for Large Language Models. - Hulingxiao He, Xiangteng He, Yuxin Peng, Zifei Shan, Xin Su:
Firzen: Firing Strict Cold-Start Items with Frozen Heterogeneous and Homogeneous Graphs for Recommendation. - Nikita Balagansky, Ian Maksimov, Daniil Gavrilov:
Mechanistic Permutability: Match Features Across Layers. - Xiao Cai, Pengpeng Zeng, Lianli Gao, Junchen Zhu, Jiaxin Zhang, Sitong Su, Heng Tao Shen, Jingkuan Song:
SeMv-3D: Towards Semantic and Mutil-view Consistency simultaneously for General Text-to-3D Generation with Triplane Priors. - Onkar Susladkar, Jishu Sen Gupta, Chirag Sehgal, Sparsh Mittal, Rekha Singhal:
MotionAura: Generating High-Quality and Motion Consistent Videos using Discrete Diffusion. - Abdulmomen Ghalkha, Chaouki Ben Issaid, Mehdi Bennis:
Scalable and Resource-Efficient Second-Order Federated Learning via Over-the-Air Aggregation. - David Eppstein:
Computational Complexities of Folding. - Takahiro Shindo, Taiju Watanabe, Yui Tatsumi, Hiroshi Watanabe:
Delta-ICM: Entropy Modeling with Delta Function for Learned Image Compression. - Minxing Zhang, Michael Backes, Xiao Zhang:
Invisibility Cloak: Disappearance under Human Pose Estimation via Backdoor Attacks. - Xiaoshan Yu, Chuan Qin, Qi Zhang, Chen Zhu, Haiping Ma, Xingyi Zhang, Hengshu Zhu:
DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation. - Yougang Lyu, Lingyong Yan, Zihan Wang, Dawei Yin, Pengjie Ren, Maarten de Rijke, Zhaochun Ren:
MACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization. - Jianxing Yu, Shiqi Wang, Han Yin, Zhenlong Sun, Ruobing Xie, Bo Zhang, Yanghui Rao:
Multimodal Clickbait Detection by De-confounding Biases Using Causal Representation Inference. - Jonathan Weiping Li, Ren-Wei Liang, Cheng-Han Yeh, Cheng-Chang Tsai, Kuanchun Yu, Chun-Shien Lu, Shang-Tse Chen:
Adversarial Robustness Overestimation and Instability in TRADES. - Xu Yao, Xiaoxu Wu, Xi Li, Huan Xu, Chenlei Li, Ping Huang, Si Li, Xiaoning Ma, Jiulong Shan:
Smart Audit System Empowered by LLM. - Chao Feng, Hongjie Guan, Alberto Huertas Celdrán, Jan von der Assen, Gérôme Bovet, Burkhard Stiller:
FedEP: Tailoring Attention to Heterogeneous Data Distribution with Entropy Pooling for Decentralized Federated Learning. - Weilun Feng, Chuanguang Yang, Zhulin An, Libo Huang, Boyu Diao, Fei Wang, Yongjun Xu:
Relational Diffusion Distillation for Efficient Image Generation. - Shunnosuke Yoshimura, Akihiro Miki, Kazuhiro Miyama, Yuta Sahara, Kento Kawaharazuka, Kei Okada, Masayuki Inaba:
Patterned Structure Muscle : Arbitrary Shaped Wire-driven Artificial Muscle Utilizing Anisotropic Flexible Structure for Musculoskeletal Robots. - Alberto Dionigi, Gabriele Costante, Giuseppe Loianno:
The Power of Input: Benchmarking Zero-Shot Sim-To-Real Transfer of Reinforcement Learning Control Policies for Quadrotor Control. - Niket Patel, Ravid Shwartz-Ziv:
Learning to Compress: Local Rank and Information Compression in Deep Neural Networks. - Jan Obrist, Miguel Zamora, Hehui Zheng, Ronan Hinchet, Firat Ozdemir, Juan Zarate, Robert K. Katzschmann, Stelian Coros:
PokeFlex: A Real-World Dataset of Deformable Objects for Robotics. - Keryan Chelouche, Marie Lachaize, Marine Bernard, Louise Olgiati, Rémi Cuingnet:
When the Small-Loss Trick is Not Enough: Multi-Label Image Classification with Noisy Labels Applied to CCTV Sewer Inspections. - Yan Liu, Bonan Ni, Weiran Shen, Zihe Wang, Jie Zhang:
Stackelberg vs. Nash in the Lottery Colonel Blotto Game. - Vignesh Sundaresha, Naresh Shanbhag:
Growing Efficient Accurate and Robust Neural Networks on the Edge. - Jiasheng Zheng, Hongyu Lin, Boxi Cao, Meng Liao, Yaojie Lu, Xianpei Han, Le Sun:
Multi-Facet Counterfactual Learning for Content Quality Evaluation. - Leyi Zhu, Weihuang Liu, Xinyi Chen, Zimeng Li, Xuhang Chen, Zhen Wang, Chi-Man Pun:
Test-Time Intensity Consistency Adaptation for Shadow Detection. - Alexis Bras, Alix Montanaro, Cyrille Pierre, Marilys Pradel, Johann Laconte:
Toward a Better Understanding of Robot Energy Consumption in Agroecological Applications. - Yiming Chen, Yuan Zhang, Liyuan Cao, Kun Yuan, Zaiwen Wen:
Enhancing Zeroth-order Fine-tuning for Language Models with Low-rank Structures. - Chen Min, Shubin Si, Xu Wang, Hanzhang Xue, Weizhong Jiang, Yang Liu, Juan Wang, Qingtian Zhu, Qi Zhu, Lun Luo, Fanjie Kong, Jinyu Miao, Xudong Cai, Shuai An, Wei Li, Jilin Mei, Tong Sun, Heng Zhai, Qifeng Liu, Fangzhou Zhao, Liang Chen, Shuai Wang, Er-Ke Shang, Linzhi Shang, Kunlong Zhao, Fuyang Li, Hao Fu, Lei Jin, Jian Zhao, Fangyuan Mao, Zhipeng Xiao, Chengyang Li, Bin Dai, Dawei Zhao, Liang Xiao, Yiming Nie, Yu Hu, Xuelong Li:
Autonomous Driving in Unstructured Environments: How Far Have We Come? - Chen Geng, Minghui Song, Xianchao Wang, Yuliang Wang:
Time-domain direct sampling method for inverse electromagnetic scattering with a single incident source. - Michael Sucker, Peter Ochs:
A Generalization Result for Convergence in Learning-to-Optimize. - Ray Wai Man Kong, Theodore Ho Tin Kong, Tianxu Huang:
Lean Methodology for Garment Modernization. - Yifan Song, Weimin Xiong, Xiutian Zhao, Dawei Zhu, Wenhao Wu, Ke Wang, Cheng Li, Wei Peng, Sujian Li:
AgentBank: Towards Generalized LLM Agents via Fine-Tuning on 50000+ Interaction Trajectories. - Ruijie Zhu, Yanzhe Liang, Hanzhi Chang, Jiacheng Deng, Jiahao Lu, Wenfei Yang, Tianzhu Zhang, Yongdong Zhang:
MotionGS: Exploring Explicit Motion Guidance for Deformable 3D Gaussian Splatting. - Daniel Neider, Leif Sabellek, Johannes Schmidt, Fabian Vehlken, Thomas Zeume:
Learning Tree Pattern Transformations. - Linjiang Zhou, Chao Ma, Zepeng Wang, Xiaochuan Shi:
Rethinking the Principle of Gradient Smooth Methods in Model Explanation. - Jan Fillies, Theodoros Mitsikas, Ralph Schäfermeier, Adrian Paschke:
A Hate Speech Moderated Chat Application: Use Case for GDPR and DSA Compliance. - Gabriel Jarry, Ramon Dalmau, Philippe Very, Junzi Sun:
On the Generalization Properties of Deep Learning for Aircraft Fuel Flow Estimation Models. - Jiahao Cui, Hui Li, Yao Yao, Hao Zhu, Hanlin Shang, Kaihui Cheng, Hang Zhou, Siyu Zhu, Jingdong Wang:
Hallo2: Long-Duration and High-Resolution Audio-Driven Portrait Image Animation. - Yuelin Xu, Xiao Zhang:
Understanding Adversarially Robust Generalization via Weight-Curvature Index. - Thong Nguyen, Shubham Chatterjee, Sean MacAvaney, Iain Mackie, Jeff Dalton, Andrew Yates:
DyVo: Dynamic Vocabularies for Learned Sparse Retrieval with Entities. - Elena Giammatteo, Alexander Heinlein, Philip Lukas Lederer, Matthias Schlottbom:
High-order discretized ACMS method for the simulation of finite-size two-dimensional photonic crystals. - Yonghang Zhou, Hongyi Zhu, Yidong Chai, Yuanchun Jiang, Yezheng Liu:
Towards Trustworthy Web Attack Detection: An Uncertainty-Aware Ensemble Deep Kernel Learning Model. - Gabriel Jarry, Philippe Very, Ramon Dalmau, Daniel Delahaye, Arthur Houdant:
On the Detection of Aircraft Single Engine Taxi using Deep Learning Models. - Cedric Faas, Richard Bergs, Sarah Sterz, Markus Langer, Anna Maria Feit:
Give Me a Choice: The Consequences of Restricting Choices Through AI-Support for Perceived Autonomy, Motivational Variables, and Decision Performance. - Adil Chhabra, Florian Kurpicz, Christian Schulz, Dominik Schweisgut, Daniel Seemaier:
Partitioning Trillion Edge Graphs on Edge Devices. - Jing Yang, Minyue Jiang, Sen Yang, Xiao Tan, Yingying Li, Errui Ding, Hanli Wang, Jingdong Wang:
MGMapNet: Multi-Granularity Representation Learning for End-to-End Vectorized HD Map Construction. - Can Wang, Dianbo Sui, Hongliang Sun, Hao Ding, Bolin Zhang, Zhiying Tu:
Plug-and-Play Performance Estimation for LLM Services without Relying on Labeled Data. - Jingyuan Zhang, Yiyang Duan, Shuaicheng Niu, Yang Cao, Wei Yang Bryan Lim:
Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-Tuning. - Jiayi Han, Liang Du, Hongwei Du, Xiangguo Zhou, Yiwen Wu, Weibo Zheng, Donghong Han:
SLIM: Let LLM Learn More and Forget Less with Soft LoRA and Identity Mixture. - Seyyed Mostafa Nosratabadi, Iacopo Savelli, Volkan Kumtepeli, Phil Grunewald, Marko Aunedi, David A. Howey, Thomas Morstyn:
The Impact of Grid Storage on Balancing Costs and Carbon Emissions in Great Britain. - Shunnosuke Yoshimura, Temma Suzuki, Masahiro Bando, Sota Yuzaki, Kento Kawaharazuka, Kei Okada, Masayuki Inaba:
Design Method of a Kangaroo Robot with High Power Legs and an Articulated Soft Tail. - Yuanqing Yu, Zhefan Wang, Weizhi Ma, Zhicheng Guo, Jingtao Zhan, Shuai Wang, Chuhan Wu, Zhiqiang Guo, Min Zhang:
StepTool: A Step-grained Reinforcement Learning Framework for Tool Learning in LLMs. - Roey Magen, Shuning Shang, Zhiwei Xu, Spencer Frei, Wei Hu, Gal Vardi:
Benign Overfitting in Single-Head Attention. - Jon Arrizabalaga, Fausto Vega, Zbynek SÍR, Zachary Manchester, Markus Ryll:
PHODCOS: Pythagorean Hodograph-based Differentiable Coordinate System. - Miroslav Cibula, Matthias Kerzel, Igor Farkas:
Learning Low-Level Causal Relations using a Simulated Robotic Arm. - Daniel Cores, Michael Dorkenwald, Manuel Mucientes, Cees G. M. Snoek, Yuki M. Asano:
TVBench: Redesigning Video-Language Evaluation. - Danush Kumar Venkatesh, Dominik Rivoir, Micha Pfeiffer, Fiona R. Kolbinger, Stefanie Speidel:
Synthesizing Multi-Class Surgical Datasets with Anatomy-Aware Diffusion Models. - Sijing Wu, Yunhao Li, Yichao Yan, Huiyu Duan, Ziwei Liu, Guangtao Zhai:
MMHead: Towards Fine-grained Multi-modal 3D Facial Animation. - Pei Liu, Zihao Zhang, Haipeng Liu, Nanfang Zheng, Meixin Zhu, Ziyuan Pu:
HeightFormer: A Semantic Alignment Monocular 3D Object Detection Method from Roadside Perspective. - Yong-Hyun Park, Chieh-Hsin Lai, Satoshi Hayakawa, Yuhta Takida, Yuki Mitsufuji:
Jump Your Steps: Optimizing Sampling Schedule of Discrete Diffusion Models. - Elias Trommer, Bernd Waschneck, Akash Kumar:
QoS-Nets: Adaptive Approximate Neural Network Inference. - Mingi Kwon, Seoung Wug Oh, Yang Zhou, Difan Liu, Joon-Young Lee, Haoran Cai, Baqiao Liu, Feng Liu, Youngjung Uh:
HARIVO: Harnessing Text-to-Image Models for Video Generation. - Shiye Su, Iulia Duta, Lucie Charlotte Magister, Pietro Liò:
Explaining Hypergraph Neural Networks: From Local Explanations to Global Concepts. - Muhammad Umair Nasir, Steven James, Julian Togelius:
GameTraversalBenchmark: Evaluating Planning Abilities Of Large Language Models Through Traversing 2D Game Maps. - Oxana Vitman, Nika Amaglobeli, Paul Plachinda:
Dialectical Behavior Therapy Approach to LLM Prompting. - Adriana Fernandez-Lopez, Shiwei Liu, Lu Yin, Stavros Petridis, Maja Pantic:
Full-Rank No More: Low-Rank Weight Training for Modern Speech Recognition Models. - Vaibhav Gusain, Douglas J. Leith:
Towards Quantifying The Privacy Of Redacted Text. - Sweta Agrawal, José G. C. de Souza, Ricardo Rei, António Farinhas, Gonçalo Rui Alves Faria, Patrick Fernandes, Nuno Miguel Guerreiro, André F. T. Martins:
Modeling User Preferences with Automatic Metrics: Creating a High-Quality Preference Dataset for Machine Translation. - Markus Herb, Nassir Navab, Federico Tombari:
Neural Semantic Map-Learning for Autonomous Vehicles. - Jian Zhu, Mingkai Sheng, Zhangmin Huang, Jingfei Chang, Jinling Jiang, Jian Long, Cheng Luo, Lei Liu:
CLIP Multi-modal Hashing for Multimedia Retrieval. - Mariano Ramírez Montero, Ebrahim Shahabi, Giovanni Franzese, Jens Kober, Barbara Mazzolai, Cosimo Della Santina:
Mastering Contact-rich Tasks by Combining Soft and Rigid Robotics with Imitation Learning. - Salma Haidar, José Oramas:
Enhancing Hyperspectral Image Prediction with Contrastive Learning in Low-Label Regime. - Luca Fehlings, Md Hanif Ali, Paolo Gibertini, Egidio A. Gallicchio, Udayan Ganguly, Veeresh Deshpande, Erika Covi:
Heracles: A HfO2 Ferroelectric Capacitor Compact Model for Efficient Circuit Simulations. - Zixiao Zhao, Fatemeh H. Fard:
Do Current Language Models Support Code Intelligence for R Programming Language? - Cuong Le, Viktor Johansson, Manon Kok, Bastian Wandt:
Optimal-state Dynamics Estimation for Physics-based Human Motion Capture from Videos. - Vamsi Krishna Chilakamarri, Zeyuan Feng, Somil Bansal:
Reachability Analysis for Black-Box Dynamical Systems. - Elnara Galimzhanova, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Guido Rocchietti:
Rewriting Conversational Utterances with Instructed Large Language Models. - Enrico Zelioli, Alessandro Ottaviano, Robert Balas, Nils Wistoff, Angelo Garofalo, Luca Benini:
vCLIC: Towards Fast Interrupt Handling in Virtualized RISC-V Mixed-criticality Systems. - Alireza Naderi, Thiziri Nait Saada, Jared Tanner:
Mind the Gap: a Spectral Analysis of Rank Collapse and Signal Propagation in Transformers. - Maria Makarova, Daria Trinitatova, Dzmitry Tsetserukou:
LucidGrasp: Robotic Framework for Autonomous Manipulation of Laboratory Equipment with Different Degrees of Transparency via 6D Pose Estimation. - Nirob Arefin:
MGMD-GAN: Generalization Improvement of Generative Adversarial Networks with Multiple Generator Multiple Discriminator Framework Against Membership Inference Attacks. - Jiang Xu, Qiyang Miao, Ziyuan Huang, Yilin Lu, Lingyun Sun, Tianyang Yu, Jingru Pei, Qichao Zhao:
Intuitive interaction flow: A Dual-Loop Human-Machine Collaboration Task Allocation Model and an experimental study. - Niklas Erdmann, Lars Ødegaard Bentsen, Roy Stenbro, Heine N. Riise, Narada D. Warakagoda, Paal Engelstad:
Deep and Probabilistic Solar Irradiance Forecast at the Arctic Circle. - Gürkan Soykan, Gözde Gül Sahin:
Linguistically-Informed Multilingual Instruction Tuning: Is There an Optimal Set of Languages to Tune? - Zainab Alwaisi, Simone Soderi:
Towards Robust IoT Defense: Comparative Statistics of Attack Detection in Resource-Constrained Scenarios. - Luckeciano C. Melo, Alessandro Abate, Yarin Gal:
Temporal-Difference Variational Continual Learning. - Beomsu Kim, Yu-Guan Hsieh, Michal Klein, Marco Cuturi, Jong Chul Ye, Bahjat Kawar, James Thornton:
Simple ReFlow: Improved Techniques for Fast Flow Models. - Mengqi Zhang, Xiaotian Ye, Qiang Liu, Pengjie Ren, Shu Wu, Zhumin Chen:
Uncovering Overfitting in Large Language Model Editing. - Zhanyue Qin, Haochuan Wang, Zecheng Wang, Deyuan Liu, Cunhang Fan, Zhao Lv, Zhiying Tu, Dianhui Chu, Dianbo Sui:
Mitigating Gender Bias in Code Large Language Models via Model Editing. - Zihan Yu, Tianxiao Li, Yuxin Zhu, Rongze Pan:
Exploring Foundation Models in Remote Sensing Image Change Detection: A Comprehensive Survey. - Zhipeng Chen, Liang Song, Kun Zhou, Wayne Xin Zhao, Bingning Wang, Weipeng Chen, Ji-Rong Wen:
Extracting and Transferring Abilities For Building Multi-lingual Ability-enhanced Large Language Models. - Pranav Senthilkumar, Visshwa Balasubramanian, Prisha Jain, Aneesa Maity, Jonathan Lu, Kevin Zhu:
Fine-Tuning Language Models for Ethical Ambiguity: A Comparative Study of Alignment with Human Responses. - Eleonora Gualdoni, Gemma Boleda:
Why do objects have many names? A study on word informativeness in language use and lexical systems. - Noah Daniëls, Floris Geerts:
A note on the VC dimension of 1-dimensional GNNs. - William Tan, Kevin Zhu:
NusaMT-7B: Machine Translation for Low-Resource Indonesian Languages with Large Language Models. - U. Jin Jeong, Sumin Roh, Il Yong Chun:
LaB-CL: Localized and Balanced Contrastive Learning for improving parking slot detection. - Zhifeng Wang, Minghui Wang, Chunyan Zeng, Longlong Li:
Multi-Scale Deformable Transformers for Student Learning Behavior Detection in Smart Classroom. - Cristian Meo, Mircea Lica, Zarif Ikram, Akihiro Nakano, Vedant Shah, Aniket Rajiv Didolkar, Dianbo Liu, Anirudh Goyal, Justin Dauwels:
Masked Generative Priors Improve World Models Sequence Modelling Capabilities. - Soobin Um, Jong Chul Ye:
MinorityPrompt: Text to Minority Image Generation via Prompt Optimization. - Tim Knappe, Ryan Li, Ayush Chauhan, Kaylee Chhua, Kevin Zhu, Sean O'Brien:
Enhancing Language Model Reasoning via Weighted Reasoning in Self-Consistency. - María Martínez-García, Grace Villacrés, David G. M. Mitchell, Pablo M. Olmos:
Protect Before Generate: Error Correcting Codes within Discrete Deep Generative Models. - Merav Parter, Asaf Petruschka, Shay Sapir, Elad Tzalik:
Parks and Recreation: Color Fault-Tolerant Spanners Made Local. - Akshay Dhonthi, Nicolas Schischka, Ernst Moritz Hahn, Vahid Hashemi:
Autonomous Vehicles Path Planning under Temporal Logic Specifications. - Roohan Ahmed Khan, Malaika Zafar, Amber Batool, Aleksey Fedoseev, Dzmitry Tsetserukou:
SwarmPath: Drone Swarm Navigation through Cluttered Environments Leveraging Artificial Potential Field and Impedance Control. - Giulio Romualdi, Paolo Maria Viceconte, Lorenzo Moretti, Ines Sorrentino, Stefano Dafarra, Silvio Traversaro, Daniele Pucci:
Online DNN-driven Nonlinear MPC for Stylistic Humanoid Robot Walking with Step Adjustment. - Natraj Raman, Sumitra Ganesh, Manuela Veloso:
Scalable Representation Learning for Multimodal Tabular Transactions. - Yumiao Zhao, Bo Jiang, Xiao Wang, Qin Xu, Jin Tang:
HeGraphAdapter: Tuning Multi-Modal Vision-Language Models with Heterogeneous Graph Adapter. - Haiyang Wang, Qian Zhu, Mowen She, Yabo Li, Haoyu Song, Minghe Xu, Xiao Wang:
SNN-PAR: Energy Efficient Pedestrian Attribute Recognition via Spiking Neural Networks. - Emanuele Palumbo, Moritz Vandenhirtz, Alain Ryser, Imant Daunhawer, Julia E. Vogt:
From Logits to Hierarchies: Hierarchical Clustering made Simple. - Ronghui Zhang, Runzong Zou, Yue Zhao, Zirui Zhang, Junzhou Chen, Yue Cao, Chuan Hu, Houbing Song:
BA-Net: Bridge Attention in Deep Neural Networks. - Fanqi Kong, Yizhe Huang, Song-Chun Zhu, Siyuan Qi, Xue Feng:
Learning to Balance Altruism and Self-interest Based on Empathy in Mixed-Motive Games. - Songming Liu, Lingxuan Wu, Bangguo Li, Hengkai Tan, Huayu Chen, Zhengyi Wang, Ke Xu, Hang Su, Jun Zhu:
RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation. - Kirill Zharkov, Mikhail Chaikovskii, Yefim Osipov, Rahaf Alshaowa, Ivan I. Borisov, Sergey A. Kolyubin:
Synergizing Morphological Computation and Generative Design: Automatic Synthesis of Tendon-Driven Grippers. - Sejin Kim, Sundong Kim:
System-2 Reasoning via Generality and Adaptation. - João Marques-Silva, Carlos Mencía, Raúl Mencía:
The Sets of Power. - Shuofei Qiao, Runnan Fang, Zhisong Qiu, Xiaobin Wang, Ningyu Zhang, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen:
Benchmarking Agentic Workflow Generation. - Antar Mazumder, Zarin Anjum Madhiha:
L-VITeX: Light-weight Visual Intuition for Terrain Exploration. - Francesc Wilhelmi, Lorenzo Galati-Giordano, Gianluca Fontanesi:
"It's Your Turn": A Novel Channel Contention Mechanism for Improving Wi-Fi's Reliability. - Vassil Atanassov, Wanming Yu, Alexander Luis Mitchell, Mark Nicholas Finean, Ioannis Havoutis:
Constrained Skill Discovery: Quadruped Locomotion with Unsupervised Reinforcement Learning. - Yurii Paniv:
Unsupervised Data Validation Methods for Efficient Model Training. - Jingbo Zhang, Qiong Wu, Pingyi Fan, Qiang Fan:
A Comprehensive Survey on Joint Resource Allocation Strategies in Federated Edge Learning. - Abhishek Mandal, Susan Leavy, Suzanne Little:
Generated Bias: Auditing Internal Bias Dynamics of Text-To-Image Generative Models. - Sally Nafie, Joerg Robert, Albert Heuberger:
Collision Diversity SCRAM: Beyond the Sphere-Packing Bound. - Kirill Vyshegorodtsev, Dmitry Kudiyarov, Alexander Balashov, Alexander Kuzmin:
Deepfake detection in videos with multiple faces using geometric-fakeness features. - Jacqueline Borgstedt, Shaun Alexander Macdonald, Karola Marky, Frank E. Pollick, Stephen A. Brewster:
Soothing Sensations: Enhancing Interactions with a Socially Assistive Robot through Vibrotactile Heartbeats. - Dongbin Bai, Jiannong Cao, Yinfeng Cao, Long Wen:
Ormer: A Manipulation-resistant and Gas-efficient Blockchain Pricing Oracle for DeFi. - Damjan Gjurovski, Angjela Davitkova, Sebastian Michel:
Grid-AR: A Grid-based Booster for Learned Cardinality Estimation and Range Joins. - Junyu Lai, Jiahe Xu, Yao Yang, Yunpeng Huang, Chun Cao, Jingwei Xu:
Executing Arithmetic: Fine-Tuning Large Language Models as Turing Machines. - Evagoras Stylianou, Vladimir Sidorenko, Christian Deppe, Holger Boche:
Minimal Trellises for non-Degenerate and Degenerate Decoding of Quantum Stabilizer Codes. - Mohamamd Zavid Parvez, Rafiqul Islam, Md Zahidul Islam:
CL3: A Collaborative Learning Framework for the Medical Data Ensuring Data Privacy in the Hyperconnected Environment. - Hongtao Wu, Yijun Yang, Angelica I. Avilés-Rivero, Jingjing Ren, Sixiang Chen, Haoyu Chen, Lei Zhu:
Semi-Supervised Video Desnowing Network via Temporal Decoupling Experts and Distribution-Driven Contrastive Regularization. - Yasin Hasanpoor, Koorosh Motaman, Bahram Tarvirdizadeh, Khalil Alipour, Mohammad Ghamari:
Stress Detection Using PPG Signal and Combined Deep CNN-MLP Network. - Hao Xing, Darius Burschka:
Understanding Spatio-Temporal Relations in Human-Object Interaction using Pyramid Graph Convolutional Network. - Jing Su, Yiqing Zhou, Yu Zhang, Chao Wang, Yi Wei:
A Lightweight Target-Driven Network of Stereo Matching for Inland Waterways. - Ittai Rubinstein, Samuel B. Hopkins:
Robustness Auditing for Linear Regression: To Singularity and Beyond. - Hao Xing, Darius Burschka:
Understanding Human Activity with Uncertainty Measure for Novelty in Graph Convolutional Networks. - Fethi Kadhi:
Accessible bridge between category theory and functional programming. - Xiang Zhuang, Keyan Ding, Tianwen Lyu, Yinuo Jiang, Xiaotong Li, Zhuoyi Xiang, Zeyuan Wang, Ming Qin, Kehua Feng, Jike Wang, Qiang Zhang, Huajun Chen:
InstructBioMol: Advancing Biomolecule Understanding and Design Following Human Instructions. - Hubert Cecotti, Dalvir Dhaliwal, Hardip Singh, Yogesh Kumar Meena:
Post-Training Quantization in Brain-Computer Interfaces based on Event-Related Potential Detection. - Arash Khajooei Nejad, Masoumeh Chapariniya:
Meta-Learning Integration in Hierarchical Reinforcement Learning for Advanced Task Complexity. - Dillon Z. Chen, Rostislav Horcík, Gustav Sír:
Deep Learning for Generalised Planning with Background Knowledge. - Yuyang Sha:
Multimodal Perception System for Real Open Environment. - Xue Yan, Yan Song, Xidong Feng, Mengyue Yang, Haifeng Zhang, Haitham Bou-Ammar, Jun Wang:
Efficient Reinforcement Learning with Large Language Model Priors. - Alfredo Ibias, Héctor Antona, Guillem Ramirez-Miranda, Enric Guinovart, Eduard Alarcón:
The Function-Representation Model of Computation. - Carolin Schmidt, Daniele Gammelli, James Harrison, Marco Pavone, Filipe Rodrigues:
Offline Hierarchical Reinforcement Learning via Inverse Optimization. - Jun Muramatsu:
Distributed Source Coding, Multiple Description Coding, and Source Coding with Side Information at Decoders Using Constrained-Random Number Generators. - David K. Park, Yihui Ren, Ozgur O. Kilic, Tatiana Korchuganova, Sairam Sri Vatsavai, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Raees Khan, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Paul Nilsson, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie:
AI Surrogate Model for Distributed Computing Workloads. - Pawanesh Yadav, Imran Ansari, Niteesh Sahni:
Exploring the core-periphery and community structure in the financial networks through random matrix theory. - Kuleen Sasse, Shinjitha Vadlakonda, Richard E. Kennedy, John D. Osborne:
Disease Entity Recognition and Normalization is Improved with Large Language Model Derived Synthetic Normalized Mentions. - M. Umar B. Niazi, Jung-Hoon Cho, Munther A. Dahleh, Roy Dong, Cathy Wu:
Eco-driving Incentive Mechanisms for Mitigating Emissions in Urban Transportation. - Irene Saccani, Stefano Ardizzoni, Luca Consolini, Marco Locatelli:
Dynamic Programming based Local Search approaches for Multi-Agent Path Finding problems on Directed Graphs. - Ang He, Ximei Wu, Xing Xu, Jing Chen, Xiaobin Guo, Sheng Xu:
Iterative Optimization Annotation Pipeline and ALSS-YOLO-Seg for Efficient Banana Plantation Segmentation in UAV Imagery. - Philipp Guldimann, Alexander Spiridonov, Robin Staab, Nikola Jovanovic, Mark Vero, Velko Vechev, Anna Gueorguieva, Mislav Balunovic, Nikola Konstantinov, Pavol Bielik, Petar Tsankov, Martin T. Vechev:
COMPL-AI Framework: A Technical Interpretation and LLM Benchmarking Suite for the EU Artificial Intelligence Act. - Tomas Bueno Momcilovic, Beat Buesser, Giulio Zizzo, Mark Purcell, Dian Balta:
Towards Assurance of LLM Adversarial Robustness using Ontology-Driven Argumentation. - Punith Reddy Vanteddu, Gabriele Nava, Fabio Bergonti, Giuseppe L'Erario, Antonello Paolino, Daniele Pucci:
From CAD to URDF: Co-Design of a Jet-Powered Humanoid Robot Including CAD Geometry. - Stephen Carrow, Kyle Harper Erwin, Olga Vilenskaia, Parikshit Ram, Tim Klinger, Naweed Aghmad Khan, Ndivhuwo Makondo, Alexander Gray:
Neural Reasoning Networks: Efficient Interpretable Neural Networks With Automatic Textual Explanations. - Xu Wang, Longji Xu, Yiquan Wang, Yuhua Dong, Xiang Li, Jia Deng, Rui He:
Octopus Inspired Optimization Algorithm: Multi-Level Structures and Parallel Computing Strategies. - Jian Xu, Chao Yu, Jiawei Xu, Ying Ding, Vetle I. Torvik, Jaewoo Kang, Mujeen Sung, Min Song:
PubMed knowledge graph 2.0: Connecting papers, patents, and clinical trials in biomedical science. - Xuangeng Chu, Tatsuya Harada:
Generalizable and Animatable Gaussian Head Avatar. - Nicholas Gao, Eike Eberhard, Stephan Günnemann:
Learning Equivariant Non-Local Electron Density Functionals. - Tychique Nzalalemba Kabwangala, Ziad Alkhoury, Jawwad Ahmed, Mihály Petreczky, Laurentiu Hetel, Lotfi Belkoura:
A four-bodies motorcycle dynamic model for observer design. - Yuanqi Du, Michael Plainer, Rob Brekelmans, Chenru Duan, Frank Noé, Carla P. Gomes, Alán Aspuru-Guzik, Kirill Neklyudov:
Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling. - Eneko Osaba, Pablo Miranda-Rodriguez:
D-Wave's Nonlinear-Program Hybrid Solver: Description and Performance Analysis. - Andrei Manolache, Dragos Tantaru, Mathias Niepert:
MolMix: A Simple Yet Effective Baseline for Multimodal Molecular Representation Learning. - Shi-Bing Li, Ke Li, Lei Yu:
Large Deviation Analysis for the Reverse Shannon Theorem. - Bofei Gao, Feifan Song, Zhe Yang, Zefan Cai, Yibo Miao, Qingxiu Dong, Lei Li, Chenghao Ma, Liang Chen, Runxin Xu, Zhengyang Tang, Benyou Wang, Daoguang Zan, Shanghaoran Quan, Ge Zhang, Lei Sha, Yichang Zhang, Xuancheng Ren, Tianyu Liu, Baobao Chang:
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models. - Américo Pereira, Pedro Carvalho, Luís Corte-Real:
A transition towards virtual representations of visual scenes. - Marcel Grimmer, Christoph Busch:
LADIMO: Face Morph Generation through Biometric Template Inversion with Latent Diffusion. - Gabriele Faraone, Francesco Daghero, Eugenio Serianni, Dario Licastro, Nicola Di Carolo, Michelangelo Grosso, Giovanna Antonella Franchino, Daniele Jahier Pagliari:
Machine Learning-based feasibility estimation of digital blocks in BCD technology. - Tommaso Giorgi, Lorenzo Cima, Tiziano Fagni, Marco Avvenuti, Stefano Cresci:
Human and LLM Biases in Hate Speech Annotations: A Socio-Demographic Analysis of Annotators and Targets. - Szilárd Zsolt Fazekas, Tore Koß, Florin Manea, Robert Mercas, Timo Specht:
Subsequence Matching and Analysis Problems for Formal Languages. - Jiashun Liu, Johan S. Obando-Ceron, Aaron C. Courville, Ling Pan:
Neuroplastic Expansion in Deep Reinforcement Learning. - Yilin Wang, Chuan Guo, Li Cheng, Hai Jiang:
RegionGrasp: A Novel Task for Contact Region Controllable Hand Grasp Generation. - Giuseppe Desolda, Francesco Greco, Luca Viganò:
APOLLO: A GPT-based tool to detect phishing emails and generate explanations that warn users. - Sally Nafie, Joerg Robert, Albert Heuberger:
A Graphical Correlation-Based Method for Counting the Number of Global 8-Cycles on the SCRAM Three-Layer Tanner Graph. - Haoyue Bai, Jifan Zhang, Robert Nowak:
AHA: Human-Assisted Out-of-Distribution Generalization and Detection. - Qingwen Bu, Hongyang Li, Li Chen, Jisong Cai, Jia Zeng, Heming Cui, Maoqing Yao, Yu Qiao:
Towards Synergistic, Generalized, and Efficient Dual-System for Robotic Manipulation. - Sagi Shaier, Francisco Pereira, Katharina von der Wense, Lawrence E. Hunter, Matt Jones:
More Experts Than Galaxies: Conditionally-overlapping Experts With Biologically-Inspired Fixed Routing. - Arun Sanjel, Bikram Khanal, Greg Speegle, Pablo Rivas:
NLP-Guided Synthesis: Transitioning from Sequential Programs to Distributed Programs. - Giovanni De Toni, Stefano Teso, Bruno Lepri, Andrea Passerini:
Time Can Invalidate Algorithmic Recourse. - Yizhuo Tan, Hrvoje Kukina, Jakub Szefer:
Study of Attacks on the HHL Quantum Algorithm. - Kai Zhang, Liqian Peng, Congchao Wang, Alec Go, Xiaozhong Liu:
LLM Cascade with Multi-Objective Optimal Consideration. - Ruyi Ding, Lili Su, Aidong Adam Ding, Yunsi Fei:
Non-transferable Pruning. - Yihang Chen, Qianyi Wu, Mengyao Li, Weiyao Lin, Mehrtash Harandi, Jianfei Cai:
Fast Feedforward 3D Gaussian Splatting Compression. - Jonas Hübotter, Sascha Bongni, Ido Hakimi, Andreas Krause:
Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs. - Linhui Xiao, Xiaoshan Yang, Fang Peng, Yaowei Wang, Changsheng Xu:
OneRef: Unified One-tower Expression Grounding and Segmentation with Mask Referring Modeling. - Xiaoshan Lin, Sadik Bera Yüksel, Yasin Yazicioglu, Derya Aksaray:
Probabilistic Satisfaction of Temporal Logic Constraints in Reinforcement Learning via Adaptive Policy-Switching. - Junzhou Chen, Xuan Wen, Ronghui Zhang, Bingtao Ren, Di Wu, Zhigang Xu, Danwei Wang:
GrabDAE: An Innovative Framework for Unsupervised Domain Adaptation Utilizing Grab-Mask and Denoise Auto-Encoder. - Alessio Fallani, Ramil I. Nugmanov, Jose A. Arjona-Medina, Jörg Kurt Wegner, Alexandre Tkatchenko, Kostiantyn Chernichenko:
Pretraining Graph Transformers with Atom-in-a-Molecule Quantum Properties for Improved ADMET Modeling. - Federico Adolfi, Martina G. Vilas, Todd Wareham:
The Computational Complexity of Circuit Discovery for Inner Interpretability. - Xianyang Zhang, Huijuan Zhou:
Generalization Bounds and Model Complexity for Kolmogorov-Arnold Networks. - Tianhao Huang, Tao Yang, Ivan Habernal, Lijie Hu, Di Wang:
Private Language Models via Truncated Laplacian Mechanism. - Abheek Ghosh, Alexandros Hollender:
The Complexity of Symmetric Bimatrix Games with Common Payoffs. - Yiling Chen, Safwan Hossain, Evi Micha, Ariel D. Procaccia:
Strategic Classification With Externalities. - Xin Zhang, Xiang Lyu, Zhihao Du, Qian Chen, Dong Zhang, Hangrui Hu, Chaohong Tan, Tianyu Zhao, Yuxuan Wang, Bin Zhang, Heng Lu, Yaqian Zhou, Xipeng Qiu:
IntrinsicVoice: Empowering LLMs with Intrinsic Real-time Voice Interaction Abilities. - Santosh Kumar Radha, Oktay Göktas:
Composite Learning Units: Generalized Learning Beyond Parameter Updates to Transform LLMs into Adaptive Reasoners. - Yihang Gao, Vincent Y. F. Tan:
On the Convergence of (Stochastic) Gradient Descent for Kolmogorov-Arnold Networks. - Michel Duprez, Vanessa Lleras, Alexei Lozinski, Vincent Vigon, Killian Vuillemot:
φ-FD : A well-conditioned finite difference method inspired by φ-FEM for general geometries on elliptic PDEs. - Yury Chernyak, Ijaz Ahamed Mohammad, Nikolas Masnicak, Matej Pivoluska, Martin Plesch:
Harmonic Oscillator based Particle Swarm Optimization. - Creston Brooks, Samuel Eggert, Denis Peskoff:
The Rise of AI-Generated Content in Wikipedia. - Maice Costa, Yalin E. Sagduyu:
Timely NextG Communications with Decoy Assistance against Deep Learning-based Jamming. - Hyun Ryu, Gyeongman Kim, Hyemin S. Lee, Eunho Yang:
Divide and Translate: Compositional First-Order Logic Translation and Verification for Complex Logical Reasoning. - Jianing Qi, Hao Tang, Zhigang Zhu:
VerifierQ: Enhancing LLM Test Time Compute with Q-Learning-based Verifiers. - Yiyuan Zhang, Xiaohan Ding, Xiangyu Yue:
Scaling Up Your Kernels: Large Kernel Design in ConvNets towards Universal Representations. - David Kerkmann, Sascha Korf, Khoa Nguyen, Daniel Abele, Alain Schengen, Carlotta Gerstein, Jens Henrik Göbbert, Achim Basermann, Martin J. Kühn, Michael Meyer-Hermann:
Agent-based modeling for realistic reproduction of human mobility and contact behavior to evaluate test and isolation strategies in epidemic infectious disease spread. - Camilla Casula, Sara Tonelli:
A Target-Aware Analysis of Data Augmentation for Hate Speech Detection. - Inderjeet Nair, Jiaye Tan, Xiaotian Su, Anne Gere, Xu Wang, Lu Wang:
Closing the Loop: Learning to Generate Writing Feedback via Language Model Simulated Student Revisions. - Viktor Reshniak, Qian Gong, Rick Archibald, Scott Klasky, Norbert Podhorszki:
A framework for compressing unstructured scientific data via serialization. - Hao Zhao, Mingjia Li, Qiming Hu, Xiaojie Guo:
Reversible Decoupling Network for Single Image Reflection Removal. - André Schakkal, Guillaume Bellegarda, Auke Jan Ijspeert:
Dynamic Object Catching with Quadruped Robot Front Legs. - Shenao Zhang, Zhihan Liu, Boyi Liu, Yufeng Zhang, Yingxiang Yang, Yongfei Liu, Liyu Chen, Tao Sun, Zhaoran Wang:
Reward-Augmented Data Enhances Direct Preference Alignment of LLMs. - Wenting Tan, Dongxiao Chen, Jieting Xue, Zihao Wang, Taijie Chen:
Teaching-Inspired Integrated Prompting Framework: A Novel Approach for Enhancing Reasoning in Large Language Models. - Ching Lam Choi, Alexandre Duplessis, Serge J. Belongie:
Unlearning-based Neural Interpretations. - Taiwo A. Adebiyi, Bach Do, Ruda Zhang:
Gaussian Process Thompson Sampling via Rootfinding. - Vinith M. Suriyakumar, Rohan Alur, Ayush Sekhari, Manish Raghavan, Ashia C. Wilson:
Unstable Unlearning: The Hidden Risk of Concept Resurgence in Diffusion Models. - Shuhe Wang, Guoyin Wang, Jiwei Li, Eduard H. Hovy, Chen Guo:
Packing Analysis: Packing Is More Appropriate for Large Models or Datasets in Supervised Fine-tuning. - Yifan Zhan, Qingtian Zhu, Muyao Niu, Mingze Ma, Jiancheng Zhao, Zhihang Zhong, Xiao Sun, Yu Qiao, Yinqiang Zheng:
ToMiE: Towards Modular Growth in Enhanced SMPL Skeleton for 3D Human with Animatable Garments. - Yuan Sui, Bryan Hooi:
Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study over Open-ended Question Answering. - Tycho F. A. van der Ouderaa, Mark van der Wilk, Pim de Haan:
Noether's razor: Learning Conserved Quantities. - Lauren Olson, Tom P. Humbert, Ricarda Anna-Lena Fischer, Bob Westerveld, Florian Kunneman, Emitzá Guzmán:
Crossing Margins: Intersectional Users' Ethical Concerns about Software. - Zhiyi Pan, Wei Gao, Shan Liu, Ge Li:
Distribution Guidance Network for Weakly Supervised Point Cloud Semantic Segmentation. - Zeyu Chen, Jingyi Tang, Gu Wang, Shengquan Li, Xinghui Li, Xiangyang Ji, Xiu Li:
UW-SDF: Exploiting Hybrid Geometric Priors for Neural SDF Reconstruction from Underwater Multi-view Monocular Images. - Hanrong Zhang, Xinyue Wang, Jiabao Pan, Hongwei Wang:
SAKA: An Intelligent Platform for Semi-automated Knowledge Graph Construction and Application. - Johannes Autenrieb, Hyo-Sang Shin:
Sensor-Based Safety-Critical Control using an Incremental Control Barrier Function Formulation via Reduced-Order Approximate Models. - Darwin Mick, Taylor Pool, Madankumar Sathenahally Nagaraju, Michael Kaess, Howie Choset, Matthew J. Travers:
LiPO: LiDAR Inertial Odometry for ICP Comparison. - Aparna Kishore, Swapna Thorve, Madhav V. Marathe:
A Generative AI Technique for Synthesizing a Digital Twin for U.S. Residential Solar Adoption and Generation. - Xiaoyan Jiang, Licheng Jiang, Anjie Wang, Kaiying Zhu, Yongbin Gao:
CrackSegDiff: Diffusion Probability Model-based Multi-modal Crack Segmentation. - Tianyi Bai, Ling Yang, Zhen Hao Wong, Jiahui Peng, Xinlin Zhuang, Chi Zhang, Lijun Wu, Jiantao Qiu, Wentao Zhang, Binhang Yuan, Conghui He:
Multi-Agent Collaborative Data Selection for Efficient LLM Pretraining. - Kunhao Zheng, Juliette Decugis, Jonas Gehring, Taco Cohen, Benjamin Négrevergne, Gabriel Synnaeve:
What Makes Large Language Models Reason in (Multi-Turn) Code Generation? - Jian Huang, Chengrui Dong, Peidong Liu:
IncEventGS: Pose-Free Gaussian Splatting from a Single Event Camera. - Xiaojian Yuan, Tianyu Pang, Chao Du, Kejiang Chen, Weiming Zhang, Min Lin:
A Closer Look at Machine Unlearning for Large Language Models. - Huiyuan Yang, Xiaojun Yuan:
On the Second-Order Achievabilities of Indirect Quadratic Lossy Source Coding. - Ayoub Ajarra, Bishwamittra Ghosh, Debabrota Basu:
Active Fourier Auditor for Estimating Distributional Properties of ML Models. - Kristian Kuznetsov, Eduard Tulchinskii, Laida Kushnareva, German Magai, Serguei Barannikov, Sergey I. Nikolenko, Irina Piontkovskaya:
Robust AI-Generated Text Detection by Restricted Embeddings. - Dingkang Liang, Tianrui Feng, Xin Zhou, Yumeng Zhang, Zhikang Zou, Xiang Bai:
Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning. - Weize Chen, Jiarui Yuan, Chen Qian, Cheng Yang, Zhiyuan Liu, Maosong Sun:
Optima: Optimizing Effectiveness and Efficiency for LLM-Based Multi-Agent System. - Ngoc-Hai Nguyen, Dung Le, Hoang-Phi Nguyen, Tung Pham, Nhat Ho:
On Barycenter Computation: Semi-Unbalanced Optimal Transport-based Method on Gaussians. - Boyu Chen, Ameenat L. Solebo, Weiye Bao, Paul Taylor:
Medical Image Quality Assessment based on Probability of Necessity and Sufficiency. - Changyuan Wang, Ziwei Wang, Xiuwei Xu, Yansong Tang, Jie Zhou, Jiwen Lu:
Q-VLM: Post-training Quantization for Large Vision-Language Models. - Wei-Hao Chen, Chun-I Fan, Yi-Fan Tseng:
CCA-Secure Key-Aggregate Proxy Re-Encryption for Secure Cloud Storage. - Moirangthem Tiken Singh, Rabinder Kumar Prasad, Gurumayum Robert Michael, N. K. Kaphungkui, N. Hemarjit Singh:
Heterogeneous Graph Auto-Encoder for CreditCard Fraud Detection. - Arjhun Swaminathan, Anika Hannemann, Ali Burak Ünal, Nico Pfeifer, Mete Akgün:
PP-GWAS: Privacy Preserving Multi-Site Genome-wide Association Studies. - Felix Petersen, Christian Borgelt, Aashwin Ananda Mishra, Stefano Ermon:
Generalizing Stochastic Smoothing for Differentiation and Gradient Estimation. - Xiaojuan Tang, Jiaqi Li, Yitao Liang, Song-Chun Zhu, Muhan Zhang, Zilong Zheng:
Mars: Situated Inductive Reasoning in an Open-World Environment. - Xiaotie Deng, Biaoshuai Tao, Ying Wang:
Aggregation of Antagonistic Contingent Preferences: When Is It Possible? - Florian Hahlbohm, Fabian Friederichs, Tim Weyrich, Linus Franke, Moritz Kappel, Susana Castillo, Marc Stamminger, Martin Eisemann, Marcus A. Magnor:
Efficient Perspective-Correct 3D Gaussian Splatting Using Hybrid Transparency. - Kamesh R:
Think Beyond Size: Dynamic Prompting for More Effective Reasoning. - Mathis Pink, Vy A. Vo, Qinyuan Wu, Jianing Mu, Javier S. Turek, Uri Hasson, Kenneth A. Norman, Sebastian Michelmann, Alexander Huth, Mariya Toneva:
Assessing Episodic Memory in LLMs with Sequence Order Recall Tasks. - Jarrid Rector-Brooks, Mohsin Hasan, Zhangzhi Peng, Zachary Quinn, Cheng-Hao Liu, Sarthak Mittal, Nouha Dziri, Michael M. Bronstein, Yoshua Bengio, Pranam Chatterjee, Alexander Tong, Avishek Joey Bose:
Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction. - Yaozhi Du, Jing Shuang Li:
State Feedback System Level Synthesis in Continuous Time. - Chongjun Zhong, Jiaxing Yu, Yingping Cao, Songruoyao Wu, Wenqi Wu, Kejun Zhang:
SoundScape: A Human-AI Co-Creation System Making Your Memories Heard. - Edward Finkelstein:
Generalized Fixed-Depth Prefix and Postfix Symbolic Regression Grammars. - Jesse Goodman, Xin Li, David Zuckerman:
Improved Condensers for Chor-Goldreich Sources. - Yutong Wang, Jiali Zeng, Xuebo Liu, Derek F. Wong, Fandong Meng, Jie Zhou, Min Zhang:
DelTA: An Online Document-Level Translation Agent Based on Multi-Level Memory. - Xiaoyuan Liu, Wenxuan Wang, Youliang Yuan, Jen-tse Huang, Qiuzhi Liu, Pinjia He, Zhaopeng Tu:
Insight Over Sight? Exploring the Vision-Knowledge Conflicts in Multimodal LLMs. - Amrith Setlur, Chirag Nagpal, Adam Fisch, Xinyang Geng, Jacob Eisenstein, Rishabh Agarwal, Alekh Agarwal, Jonathan Berant, Aviral Kumar:
Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning. - Desai Xie, Zhan Xu, Yicong Hong, Hao Tan, Difan Liu, Feng Liu, Arie E. Kaufman, Yang Zhou:
Progressive Autoregressive Video Diffusion Models. - Pragyan Shrestha, Chun Xie, Yuichi Yoshii, Itaru Kitahara:
RayEmb: Arbitrary Landmark Detection in X-Ray Images Using Ray Embedding Subspace. - Jiatao Gu, Yuyang Wang, Yizhe Zhang, Qihang Zhang, Dinghuai Zhang, Navdeep Jaitly, Josh M. Susskind, Shuangfei Zhai:
DART: Denoising Autoregressive Transformer for Scalable Text-to-Image Generation. - Keren Gruteke Klein, Yoav Meiri, Omer Shubi, Yevgeni Berzak:
The Effect of Surprisal on Reading Times in Information Seeking and Repeated Reading. - Saaket Agashe, Jiuzhou Han, Shuyu Gan, Jiachen Yang, Ang Li, Xin Eric Wang:
Agent S: An Open Agentic Framework that Uses Computers Like a Human. - Aryo Lotfi, Enrico Fini, Samy Bengio, Moin Nabi, Emmanuel Abbe:
Visual Scratchpads: Enabling Global Reasoning in Vision. - Zitian Zhang, Frédéric Fortier-Chouinard, Mathieu Garon, Anand Bhattad, Jean-François Lalonde:
ZeroComp: Zero-shot Object Compositing from Image Intrinsics via Diffusion. - D. Ellis Hershkowitz, Richard Z. Huang:
Simple Length-Constrained Minimum Spanning Trees. - Feng Chen, Botian Xu, Pu Hua, Peiqi Duan, Yanchao Yang, Yi Ma, Huazhe Xu:
On the Evaluation of Generative Robotic Simulations. - Qingni Wang, Tiantian Geng, Zhiyuan Wang, Teng Wang, Bo Fu, Feng Zheng:
Sample then Identify: A General Framework for Risk Control and Assessment in Multimodal Large Language Models. - Hsing-Hua Wang, Fu-Jen Tsai, Yen-Yu Lin, Chia-Wen Lin:
TANet: Triplet Attention Network for All-In-One Adverse Weather Image Restoration. - Xiaoxue Chen, Jv Zheng, Hao Huang, Haoran Xu, Weihao Gu, Kangliang Chen, Xiang He, Huan-ang Gao, Hao Zhao, Guyue Zhou, Ya-Qin Zhang:
RGM: Reconstructing High-fidelity 3D Car Assets with Relightable 3D-GS Generative Model from a Single Image. - Wenbo Hu, Jia-Chen Gu, Zi-Yi Dou, Mohsen Fayyaz, Pan Lu, Kai-Wei Chang, Nanyun Peng:
MRAG-Bench: Vision-Centric Evaluation for Retrieval-Augmented Multimodal Models. - Zhengyang Liang, Hao He, Ceyuan Yang, Bo Dai:
Scaling Laws For Diffusion Transformers. - Maik Pfefferkorn, Rolf Findeisen:
Probabilistically Input-to-State Stable Stochastic Model Predictive Control. - Joseph N. E. Lucero, Le Xu, Simona Onori:
Comparing Mass-Preserving Numerical Methods for the Lithium-Ion Battery Single Particle Model. - Mingming He, Pascal Clausen, Ahmet Levent Tasel, Li Ma, Oliver Pilarski, Wenqi Xian, Laszlo Rikker, Xueming Yu, Ryan Burgert, Ning Yu, Paul E. Debevec:
DifFRelight: Diffusion-Based Facial Performance Relighting. - Hang Yin, Xiuwei Xu, Zhenyu Wu, Jie Zhou, Jiwen Lu:
SG-Nav: Online 3D Scene Graph Prompting for LLM-based Zero-shot Object Navigation. - Jiahao Lu, Yifan Zhang, Qiuhong Shen, Xinchao Wang, Shuicheng Yan:
Poison-splat: Computation Cost Attack on 3D Gaussian Splatting. - Shanyan Guan, Yanhao Ge, Ying Tai, Jian Yang, Wei Li, Mingyu You:
HybridBooth: Hybrid Prompt Inversion for Efficient Subject-Driven Generation. - Yuancheng Xu, Udari Madhushani Sehwag, Alec Koppel, Sicheng Zhu, Bang An, Furong Huang, Sumitra Ganesh:
GenARM: Reward Guided Generation with Autoregressive Reward Model for Test-time Alignment. - Zimu Lu, Aojun Zhou, Ke Wang, Houxing Ren, Weikang Shi, Junting Pan, Mingjie Zhan, Hongsheng Li:
MathCoder2: Better Math Reasoning from Continued Pretraining on Model-translated Mathematical Code. - Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen:
From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions. - Shuo Xie, Mohamad Amin Mohamadi, Zhiyuan Li:
Adam Exploits ℓ∞-geometry of Loss Landscape via Coordinate-wise Adaptivity. - Anish Mudide, Joshua Engels, Eric J. Michaud, Max Tegmark, Christian Schröder de Witt:
Efficient Dictionary Learning with Switch Sparse Autoencoders. - Gen Luo, Xue Yang, Wenhan Dou, Zhaokai Wang, Jifeng Dai, Yu Qiao, Xizhou Zhu:
Mono-InternVL: Pushing the Boundaries of Monolithic Multimodal Large Language Models with Endogenous Visual Pre-training. - Olga Anosova, Alexey Gorelov, William Jeffcott, Ziqiu Jiang, Vitaliy Kurlin:
Complete and bi-continuous invariant of protein backbones under rigid motion. - Ilya Fradlin, Idil Esen Zulfikar, Kadir Yilmaz, Theodora Kontogianni, Bastian Leibe:
Interactive4D: Interactive 4D LiDAR Segmentation. - Xiaoxiao He, Ligong Han, Quan Dao, Song Wen, Minhao Bai, Di Liu, Han Zhang, Martin Renqiang Min, Felix Juefei-Xu, Chaowei Tan, Bo Liu, Kang Li, Hongdong Li, Junzhou Huang, Faez Ahmed, Akash Srivastava, Dimitris N. Metaxas:
DICE: Discrete Inversion Enabling Controllable Editing for Multinomial Diffusion and Masked Generative Models. - Haoyi Zhu, Honghui Yang, Yating Wang, Jiange Yang, Limin Wang, Tong He:
SPA: 3D Spatial-Awareness Enables Effective Embodied Representation. - Shengcao Cao, Liang-Yan Gui, Yu-Xiong Wang:
Emerging Pixel Grounding in Large Multimodal Models Without Grounding Supervision. - Botao Ren, Xue Yang, Yi Yu, Junwei Luo, Zhidong Deng:
PointOBB-v2: Towards Simpler, Faster, and Stronger Single Point Supervised Oriented Object Detection. - Anh-Quan Cao, Maximilian Jaritz, Matthieu Guillaumin, Raoul de Charette, Loris Bazzani:
LatteCLIP: Unsupervised CLIP Fine-Tuning via LMM-Synthetic Texts. - Marwan Hamze, Mitsuharu Morisawa, Eiichi Yoshida:
Learning Bipedal Walking for Humanoid Robots in Challenging Environments with Obstacle Avoidance. - Sérgio Guerreiro, Jan L. G. Dietz:
DEMO enhanced BPMN. - Clara Punzi:
New technologies and AI: envisioning future directions for UNSCR 1540. - Fabrizio Fornari, Ivan Compagnucci, Massimo Callisto De Donato, Yannis Bertrand, Harry Herbert Beyel, Emilio Carrión, Marco Franceschetti, Wolfgang Groher, Joscha Grüger, Emre Kiliç, Agnes Koschmider, Francesco Leotta, Chiao-Yun Li, Giovanni Lugaresi, Lukas Malburg, Juergen Mangler, Massimo Mecella, Oscar Pastor, Uwe V. Riss, Ronny Seiger, Estefanía Serral, Victoria Torres, Pedro Valderas:
Digital Twins of Business Processes: A Research Manifesto. - Ramana Sundararaman, Nicolas Donati, Simone Melzi, Etienne Corman, Maks Ovsjanikov:
Deformation Recovery: Localized Learning for Detail-Preserving Deformations. - Nhan T. Luu, Truong C. Thang, Duong T. Luu:
Improving Spiking Neural Network Accuracy With Color Model Information Encoded Bit Planes. - Shahriar Ahmad Fahim:
Finetuning YOLOv9 for Vehicle Detection: Deep Learning for Intelligent Transportation Systems in Dhaka, Bangladesh. - Kemal Altwlkany, Sead Delalic, Elmedin Selmanovic, Adis Alihodzic, Ivica Lovric:
A Recurrent Neural Network Approach to the Answering Machine Detection Problem. - Félix Marcoccia, Cédric Adjih, Paul Mühlethaler:
NetDiff: Deep Graph Denoising Diffusion for Ad Hoc Network Topology Generation. - Zhenyu Xu, Victor S. Sheng:
LecPrompt: A Prompt-based Approach for Logical Error Correction with CodeBERT. - Cyrile Delestre, Yoann Sola:
Self-Attention Mechanism in Multimodal Context for Banking Transaction Flow. - Nuria Rodríguez Barroso, María Victoria Luzón, Francisco Herrera:
RAB2-DEF: Dynamic and explainable defense against adversarial attacks in Federated Learning to fair poor clients. - Sukwon Yun, Inyoung Choi, Jie Peng, Yangfan Wu, Jingxuan Bao, Qiyiwen Zhang, Jiayi Xin, Qi Long, Tianlong Chen:
Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts. - Jalmari Nevanlinna, Anna Eidstø, Jari Ylä-Mattila, Teemu Koivistoinen, Niku Oksala, Juho Kanniainen, Ari Palomäki, Antti Roine:
Forecasting mortality associated emergency department crowding. - Ziqi Yang, Zhaopeng Peng, Zihui Wang, Jianzhong Qi, Chaochao Chen, Weike Pan, Chenglu Wen, Cheng Wang, Xiaoliang Fan:
Federated Graph Learning for Cross-Domain Recommendation. - David D. Baek, Yuxiao Li, Max Tegmark:
Generalization from Starvation: Hints of Universality in LLM Knowledge Graph Learning. - Cheng Fang, Sicong Liu, Zimu Zhou, Bin Guo, Jiaqi Tang, Ke Ma, Zhiwen Yu:
AdaShadow: Responsive Test-time Model Adaptation in Non-stationary Mobile Environments. - Junyi Cao, Shanyan Guan, Yanhao Ge, Wei Li, Xiaokang Yang, Chao Ma:
Neural Material Adaptor for Visual Grounding of Intrinsic Dynamics. - Prasanna Mayilvahanan, Roland S. Zimmermann, Thaddäus Wiedemer, Evgenia Rusak, Attila Juhos, Matthias Bethge, Wieland Brendel:
In Search of Forgotten Domain Generalization. - David Lubicz, Maciej Skorski:
Quantifying Jitter Transfer for Differential Measurement: Enhancing Security of Oscillator-Based TRNGs. - Qiuheng Wang, Yukai Shi, Jiarong Ou, Rui Chen, Ke Lin, Jiahao Wang, Boyuan Jiang, Haotian Yang, Mingwu Zheng, Xin Tao, Fei Yang, Pengfei Wan, Di Zhang:
Koala-36M: A Large-scale Video Dataset Improving Consistency between Fine-grained Conditions and Video Content. - Jinbin Bai, Tian Ye, Wei Chow, Enxin Song, Qing-Guo Chen, Xiangtai Li, Zhen Dong, Lei Zhu, Shuicheng Yan:
Meissonic: Revitalizing Masked Generative Transformers for Efficient High-Resolution Text-to-Image Synthesis. - Mason B. Peterson, Yi Xuan Jia, Yulun Tian, Annika Thomas, Jonathan P. How:
ROMAN: Open-Set Object Map Alignment for Robust View-Invariant Global Localization. - Irving Fang, Kairui Shi, Xujin He, Siqi Tan, Yifan Wang, Hanwen Zhao, Hung-Jui Huang, Wenzhen Yuan, Chen Feng, Jing Zhang:
FusionSense: Bridging Common Sense, Vision, and Touch for Robust Sparse-View Reconstruction. - Rishabh Dev Yadav, Swati Dantu, Wei Pan, Sihao Sun, Spandan Roy, Simone Baldi:
Modular Adaptive Aerial Manipulation under Unknown Dynamic Coupling Forces. - Sirui Li, Janardhan Kulkarni, Ishai Menache, Cathy Wu, Beibin Li:
Towards Foundation Models for Mixed Integer Linear Programming. - William Thorne, Ambrose Robinson, Bohua Peng, Chenghua Lin, Diana Maynard:
Increasing the Difficulty of Automatically Generated Questions via Reinforcement Learning with Synthetic Preference. - Khashayar Gatmiry, Nikunj Saunshi, Sashank J. Reddi, Stefanie Jegelka, Sanjiv Kumar:
Can Looped Transformers Learn to Implement Multi-step Gradient Descent for In-context Learning? - Abu Fuad Ahmad, Md Shohel Sayeed, Khaznah Alshammari, Istiaque Ahmed:
Impact of Missing Values in Machine Learning: A Comprehensive Analysis. - Jonas Bresch, Dirk A. Lorenz, Felix Schneppe, Maximilian Winkler:
Matrix-free stochastic calculation of operator norms without using adjoints. - Haoteng Yin, Rongzhe Wei, Eli Chien, Pan Li:
Privately Learning from Graphs with Applications in Fine-tuning Large Language Models. - Timothy L. Cronin IV, Sanmukh Kuppannagari:
A Framework to Enable Algorithmic Design Choice Exploration in DNNs. - Scott Seidenberger, Oluwasijibomi Ajisegiri, Noah Pursell, Fazil Raja, Anindya Maiti:
A Framework to Audit Email Address Privacy and Analyze Email Marketing Practices of Online Services and Apps. - Alberto Alfarano, François Charton, Amaury Hayat:
Global Lyapunov functions: a long-standing open problem in mathematics, with symbolic transformers. - Grigory Malinovsky, Umberto Michieli, Hasan Abed Al Kader Hammoud, Taha Ceritli, Hayder Elesedy, Mete Ozay, Peter Richtárik:
Randomized Asymmetric Chain of LoRA: The First Meaningful Theoretical Framework for Low-Rank Adaptation. - Huy Hoang, Tien Mai, Pradeep Varakantham:
UNIQ: Offline Inverse Q-learning for Avoiding Undesirable Demonstrations. - Abu Fuad Ahmad, Khaznah Alshammari, Istiaque Ahmed, Md Shohel Sayeed:
Machine Learning for Missing Value Imputation. - Yongyi Yang, Core Francisco Park, Ekdeep Singh Lubana, Maya Okawa, Wei Hu, Hidenori Tanaka:
Dynamics of Concept Learning and Compositional Generalization. - Michael Lampis, Valia Mitsou, Edouard Nemery, Yota Otachi, Manolis Vasilakis, Daniel Vaz:
Parameterized Spanning Tree Congestion. - Yinuo Ren, Tesi Xiao, Michael Shavlovsky, Lexing Ying, Holakou Rahmanian:
HyperDPO: Hypernetwork-based Multi-Objective Fine-Tuning Framework. - Federico Retyk, Luis Gascó, Casimiro Pio Carrino, Daniel Deniz, Rabih Zbib:
MELO: An Evaluation Benchmark for Multilingual Entity Linking of Occupations. - Zhuohang Li, Jiaxin Zhang, Chao Yan, Kamalika Das, Kumar Sricharan, Murat Kantarcioglu, Bradley A. Malin:
Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation. - Mohamed El Amine Meguenani, Alceu de Souza Britto Jr., Alessandro Lameiras Koerich:
Music Genre Classification using Large Language Models. - Benno Weck, Frederic Font:
The language of sound search: Examining User Queries in Audio Search Engines. - Yiwei Zhao, Ziyun Li, Win-San Khwa, Xiaoyu Sun, Sai Qian Zhang, Syed Shakib Sarwar, Kleber Hugo Stangherlin, Yi-Lun Lu, Jorge Tomás Gómez, Jae-Sun Seo, Phillip B. Gibbons, Barbara De Salvo, Chiao Liu:
Neural Architecture Search of Hybrid Models for NPU-CIM Heterogeneous AR/VR Devices. - Krithika Ramesh, Nupoor Gandhi, Pulkit Madaan, Lisa Bauer, Charith Peris, Anjalie Field:
Evaluating Differentially Private Synthetic Data Generation in High-Stakes Domains. - Konstantina Christakopoulou, Shibl Mourad, Maja J. Mataric:
Agents Thinking Fast and Slow: A Talker-Reasoner Architecture. - Youzuo Lin, Shihang Feng, James Theiler, Yinpeng Chen, Umberto Villa, Jing Rao, John James Greenhall, Cristian Pantea, Mark A. Anastasio, Brendt Wohlberg:
Physics and Deep Learning in Computational Wave Imaging. - Miguel Carrasco, César González-Martín, Sonia Navajas-Torrente, Raul Dastres:
Level of agreement between emotions generated by Artificial Intelligence and human evaluation: a methodological proposal. - Tirthankar Mittra:
Exploring Natural Language-Based Strategies for Efficient Number Learning in Children through Reinforcement Learning. - Carlos Gonzalez, Luis Sentis:
Guiding Collision-Free Humanoid Multi-Contact Locomotion using Convex Kinematic Relaxations and Dynamic Optimization. - Yurong Liu, R. Teal Witter, Flip Korn, Tarfah Alrashed, Dimitris Paparas, Juliana Freire:
Kernel Banzhaf: A Fast and Robust Estimator for Banzhaf Values. - Jikai Xu, Lei Wu, Changyi Lin, Ding Zhao, Huazhe Xu:
DTactive: A Vision-Based Tactile Sensor with Active Surface. - Anthony Etim, Jakub Szefer:
Time Traveling to Defend Against Adversarial Example Attacks in Image Classification. - Zitong Huang, Mansooreh Montazerin, Ajitesh Srivastava:
Simultaneous Weight and Architecture Optimization for Neural Networks. - Ihsan Ozan Yildirim, Cansu Çetin Er, Ege Keskin, Murat Kuscu, Oguzhan Özcan:
From Uncertainty to Innovation: Wearable Prototyping with ProtoBot. - Matthew J. Colbrook, Andrew Horning, Tianyiwa Xie:
Computing Generalized Eigenfunctions in Rigged Hilbert Spaces. - Henry Gasztowtt, Benjamin Smith, Vincent Zhu, Qinxun Bai, Edwin Zhang:
Large Legislative Models: Towards Efficient AI Policymaking in Economic Simulations. - Michael C. Stern, Jason A. Shaw:
Nonlinear second-order dynamics describe labial constriction trajectories across languages and contexts. - Zeqiang Wang, Jiageng Wu, Yuqi Wang, Wei Wang, Jie Yang, Jon Johnson, Nishanth Sastry, Suparna De:
Revealing COVID-19's Social Dynamics: Diachronic Semantic Analysis of Vaccine and Symptom Discourse on Twitter. - Jacob Beck, Shikha Surana, Manus McAuliffe, Oliver Bent, Thomas D. Barrett, Juan Jose Garau Luis, Paul Duckworth:
Metalic: Meta-Learning In-Context with Protein Language Models. - Guanhua Zhang, Mohamed Ahmed, Zhiming Hu, Andreas Bulling:
SummAct: Uncovering User Intentions Through Interactive Behaviour Summarisation. - Rabia Bajwa, Farah Tasnur Meem:
Intellectual Property Blockchain Odyssey: Navigating Challenges and Seizing Opportunities. - Anuran Makur, Japneet Singh:
Minimax Hypothesis Testing for the Bradley-Terry-Luce Model. - Raphael C. Kim, Falco J. Bargagli-Stoffi, Kevin L. Chen, Rachel C. Nethery:
Towards Optimal Environmental Policies: Policy Learning under Arbitrary Bipartite Network Interference. - Pol Mestres, Carlos Nieto-Granda, Jorge Cortés:
Safe and Dynamically-Feasible Motion Planning using Control Lyapunov and Barrier Functions. - Samir Abou Haidar, Alexandre Chariot, Mehdi Darouich, Cyril Joly, Jean-Emmanuel Deschaud:
Are We Ready for Real-Time LiDAR Semantic Segmentation in Autonomous Driving? - Wilson Yan, Matei Zaharia, Volodymyr Mnih, Pieter Abbeel, Aleksandra Faust, Hao Liu:
ElasticTok: Adaptive Tokenization for Image and Video. - Thomas Gauthier-Caron, Shamane Siriwardhana, Elliot Stein, Malikeh Ehghaghi, Charles Goddard, Mark McQuade, Jacob Solawetz, Maxime Labonne:
Merging in a Bottle: Differentiable Adaptive Merging (DAM) and the Path from Averaging to Automation. - Vini Netto, Kimon Krenz, Maria Fiszon, Otávio Peres, Desirée Rosalino:
Decoding Segregation: Navigating a century of segregation research across disciplines and introducing a bottom-up ontology. - Jakub Pokrywka, Jeremi Kaczmarek, Edward Jacek Gorzelanczyk:
Evaluating Transformer Models for Suicide Risk Detection on Social Media. - Daniel Paul-Pena, C. Seshadhri:
Subgraph Counting in Subquadratic Time for Bounded Degeneracy Graphs. - Niclas Boehmer, Yunfan Zhao, Guojun Xiong, Paula Rodriguez Diaz, Paola Del Cueto Cibrian, Joseph Ngonzi, Adeline Boatin, Milind Tambe:
Optimizing Vital Sign Monitoring in Resource-Constrained Maternal Care: An RL-Based Restless Bandit Approach. - Thomas Martin, Adrien Guénard, Vladislav Tempez, Lucien Renaud, Thibaut Raharijaona, Franck Ruffier, Jean-Baptiste Mouret:
Flying in air ducts. - Irem Aydin, Hermann Diebel-Fischer, Vincent Freiberger, Julia Möller-Klapperich, Erik Buchmann, Michael Färber, Anne Lauber-Rönsberg, Birte Platow:
Assessing Privacy Policies with AI: Ethical, Legal, and Technical Challenges. - Andy K. Zhang, Kevin Klyman, Yifan Mai, Yoav Levine, Yian Zhang, Rishi Bommasani, Percy Liang:
Language model developers should report train-test overlap. - Maximus Powers, Umang Mavani, Harshitha Reddy Jonala, Ansh Tiwari, Hua Wei:
GUS-Net: Social Bias Classification in Text with Generalizations, Unfairness, and Stereotypes. - Brooke Feinberg, Aiwen Li:
Heating Up Quasi-Monte Carlo Graph Random Features: A Diffusion Kernel Perspective. - Andy Zhou, Xiaojun Xu, Ramesh Raghunathan, Alok Lal, Xinze Guan, Bin Yu, Bo Li:
KnowGraph: Knowledge-Enabled Anomaly Detection via Logical Reasoning on Graph Data. - Maxwell Horton, Qingqing Cao, Chenfan Sun, Yanzi Jin, Sachin Mehta, Mohammad Rastegari, Moin Nabi:
KV Prediction for Improved Time to First Token. - Steven Rogulsky, Nicholas Popovic, Michael Färber:
The Effects of Hallucinations in Synthetic Training Data for Relation Extraction. - Kiwhan Song, Mohamed Ali Dhraief, Muhua Xu, Locke Cai, Xuhao Chen, Arvind, Jie Chen:
Identifying Money Laundering Subgraphs on the Blockchain. - Eino Jacobs, Dmitry Utyansky, Muhammad Hassan, Thomas Roecker:
RISC-V V Vector Extension (RVV) with reduced number of vector registers. - Armin Abdollahi, Mehdi Kamal, Massoud Pedram:
MENAGE: Mixed-Signal Event-Driven Neuromorphic Accelerator for Edge Applications. - Muhammad Awais, Ali Husain Salem Abdulla Alharthi, Amandeep Kumar, Hisham Cholakkal, Rao Muhammad Anwer:
AgroGPT: Efficient Agricultural Vision-Language Model with Expert Tuning. - Khoi Trinh, Joseph Spracklen, Raveen Wijewickrama, Bimal Viswanath, Murtuza Jadliwala, Anindya Maiti:
Promptly Yours? A Human Subject Study on Prompt Inference in AI-Generated Art. - Aida Mohammadshahi, Yani Ioannou:
What is Left After Distillation? How Knowledge Transfer Impacts Fairness and Bias. - Ethan Schneider, Daniel Wu, Devleena Das, Sonia Chernova:
CE-MRS: Contrastive Explanations for Multi-Robot Systems. - Vung Pham, Lan Dong Thi Ngoc, Duy-Linh Bui:
Optimizing YOLO Architectures for Optimal Road Damage Detection and Classification: A Comparative Study from YOLOv7 to YOLOv10. - Cheng Liu, Xuyang Yan, Zekun Zhang, Cheng Ding, Tianhao Zhao, Shaya Jannati, Cynthia Martinez, Dietrich Stout:
Human Stone Toolmaking Action Grammar (HSTAG): A Challenging Benchmark for Fine-grained Motor Behavior Recognition. - Ahmad Tayeb, Mohammad D. Alahmadi, Elham Tajik, Sonia Haiduc:
Investigating Developers' Preferences for Learning and Issue Resolution Resources in the ChatGPT Era. - Sitao Cheng, Liangming Pan, Xunjian Yin, Xinyi Wang, William Yang Wang:
Understanding the Interplay between Parametric and Contextual Knowledge for Large Language Models. - Michael T. Pearce, Thomas Dooms, Alice Rigg, José Oramas M., Lee Sharkey:
Bilinear MLPs enable weight-based mechanistic interpretability. - Seth Lazar, Lorenzo Manuali:
Can LLMs advance democratic values? - Ran Liu, Wenrui Ma, Ellen L. Zippi, Hadi Pouransari, Jingyun Xiao, Christopher M. Sandino, Behrooz Mahasseni, Juri Minxha, Erdrin Azemi, Eva L. Dyer, Ali Moin:
Generalizable autoregressive modeling of time series through functional narratives. - Youngwoo Kwon, Qian Qin, Guanyang Wang, Yuchen Wei:
A phase transition in sampling from Restricted Boltzmann Machines. - Kishan Prudhvi Guddanti, Alok Kumar Bharati, Sameer Nekkalapu, Joseph McWheter, Scott Morris:
A Comprehensive Review: Impacts of Extreme Temperatures due to Climate Change on Power Grid Infrastructure and Operation. - Jens Dietrich, Tim White, Behnaz Hassanshahi, Paddy Krishnan:
Levels of Binary Equivalence for the Comparison of Binaries from Alternative Builds. - Yuhe Ke, Liyuan Jin, Kabilan Elangovan, Hairil Rizal Abdullah, Nan Liu, Alex Tiong Heng Sia, Chai Rick Soh, Joshua Yi Min Tung, Jasmine Chiat Ling Ong, Chang Fu Kuo, Shao-Chun Wu, Vesela P. Kovacheva, Daniel Shu Wei Ting:
oRetrieval Augmented Generation for 10 Large Language Models and its Generalizability in Assessing Medical Fitness. - Zain Sarwar, Van Tran, Arjun Nitin Bhagoji, Nick Feamster, Ben Y. Zhao, Supriyo Chakraborty:
MYCROFT: Towards Effective and Efficient External Data Augmentation. - Alireza Askarian, Jaesang Park, Srinivasa M. Salapaka:
Multi-Mode Inverters: A Unified Control Design for Grid-Forming, Grid-Following, and Beyond. - Hugo Lefeuvre, Nathan Dautenhahn, David Chisnall, Pierre Olivier:
SoK: Software Compartmentalization. - Tingyu Zhu, Haoyu Liu, Zhimin Jiang, Zeyu Zheng:
Symbolic Music Generation with Fine-grained Interactive Textural Guidance. - Zi'ou Zheng, Christopher Malon, Martin Renqiang Min, Xiaodan Zhu:
Exploring the Role of Reasoning Structures for Constructing Proofs in Multi-Step Natural Language Reasoning with Large Language Models. - Rushang Karia, Daniel Bramblett, Daksh Dobhal, Siddharth Srivastava:
∀uto∃∨∧L: Autonomous Evaluation of LLMs for Truth Maintenance and Reasoning Tasks. - Areen Khalaila, Lane Harrison, Nam Wook Kim, Dylan Cashman:
"They Aren't Built For Me": A Replication Study of Visual Graphical Perception with Tactile Representations of Data for Visually Impaired Users. - Josiah C. Kratz, Jacob Adamczyk:
Reinforcement Learning for Control of Non-Markovian Cellular Population Dynamics. - Armel Koulong, Ali Pakniyat:
Distributed Adaptive Consensus with Obstacle and Collision Avoidance for Networks of Heterogeneous Multi-Agent Systems. - Dom Nasrabadi:
JurEE not Judges: safeguarding llm interactions with small, specialised Encoder Ensembles. - Vikram Krishnamurthy, Cristian R. Rojas:
Slow Convergence of Interacting Kalman Filters in Word-of-Mouth Social Learning. - Xujin Chen, Xiaodong Hu, Xinqi Jing, Zhongzheng Tang:
When does additional information lead to longer travel time in multi-origin-destination networks? - George Yin, Vikram Krishnamurthy:
Finite Sample and Large Deviations Analysis of Stochastic Gradient Algorithm with Correlated Noise. - Michael H. Freedman:
The Proof of Kolmogorov-Arnold May Illuminate Neural Network Learning. - Yuting Xie, Xianda Guo, Cong Wang, Kunhua Liu, Long Chen:
AdvDiffuser: Generating Adversarial Safety-Critical Driving Scenarios via Guided Diffusion. - Jiaxing Hao, Yanxi Wang, Zhigang Chang, Hongmin Gao, Zihao Cheng, Chen Wu, Xin Zhao, Peiye Fang, Rachmat Muwardi:
HorGait: A Hybrid Model for Accurate Gait Recognition in LiDAR Point Cloud Planar Projections. - Xin Jiang, Xu Cheng, Zechao Li:
Why pre-training is beneficial for downstream classification tasks? - Eugene P. W. Ang, Shan Lin, Alex C. Kot:
A Unified Deep Semantic Expansion Framework for Domain-Generalized Person Re-identification. - Yan Li, Mingyi Li, Xiao Zhang, Guangwei Xu, Feng Chen, Yuan Yuan, Yifei Zou, Mengying Zhao, Jianbo Lu, Dongxiao Yu:
Unity is Power: Semi-Asynchronous Collaborative Training of Large-Scale Models with Structured Pruning in Resource-Limited Clients. - Abhijnan Nath, Changsoo Jung, Ethan Seefried, Nikhil Krishnaswamy:
Simultaneous Reward Distillation and Preference Learning: Get You a Language Model Who Can Do Both. - Eugene P. W. Ang, Shan Lin, Alex C. Kot:
Diverse Deep Feature Ensemble Learning for Omni-Domain Generalized Person Re-identification. - Krish Parikh:
Driving Privacy Forward: Mitigating Information Leakage within Smart Vehicles through Synthetic Data Generation. - Sirui Chen, Chen Wang, Kaden Nguyen, Li Fei-Fei, C. Karen Liu:
ARCap: Collecting High-quality Human Demonstrations for Robot Learning with Augmented Reality Feedback. - Eugene P. W. Ang, Shan Lin, Alex C. Kot:
Aligned Divergent Pathways for Omni-Domain Generalized Person Re-Identification. - Eunji Kim, Kyuhong Shim, Simyung Chang, Sungroh Yoon:
Semantic Token Reweighting for Interpretable and Controllable Text Embeddings in CLIP. - Jia Li, Yangchen Yu, Yin Chen, Yu Zhang, Peng Jia, Yunbo Xu, Ziqiang Li, Meng Wang, Richang Hong:
DAT: Dialogue-Aware Transformer with Modality-Group Fusion for Human Engagement Estimation. - Wei Duan, Ruotian Liu, Maria Pia Fanti, Christoforos N. Hadjicostis, Zhiwu Li:
Opacity Enforcement by Edit Functions Under Incomparable Observations. - Guangrui Yang, Ming Li, Han Feng, Xiaosheng Zhuang:
Deeper Insights into Deep Graph Convolutional Networks: Stability and Generalization. - Haotian Xia, Zhengbang Yang, Junbo Zou, Rhys Tracy, Yuqing Wang, Chi Lu, Christopher Lai, Yanjun He, Xun Shao, Zhuoqing Xie, Yuan-Fang Wang, Weining Shen, Hanjie Chen:
SPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language Models. - Jiashu He, Mingyu Derek Ma, Jinxuan Fan, Dan Roth, Wei Wang, Alejandro Ribeiro:
GIVE: Structured Reasoning with Knowledge Graph Inspired Veracity Extrapolation. - Fan Yang, Zhan Wang, Ning Kang, Zhenlong Ma, Jianxiong Li, Guojun Yuan, Guangming Tan:
JingZhao: A Framework for Rapid NIC Prototyping in the Domain-Specific-Network Era. - Zhiwei Li, Guodong Long, Jing Jiang, Chengqi Zhang:
Personalized Item Representations in Federated Multimodal Recommendation. - Ricardo M. Czekster, Alexeis Garcia-Perez, Manolya Kavakli-Thorne, Seif Allah El Mesloul Nasri, Siraj A. Shaikh:
Cyber-physical and business perspectives using Federated Digital Twins in multinational and multimodal transportation systems. - Yanting Liu, Tao Ji, Changzhi Sun, Yuanbin Wu, Xiaoling Wang:
Generation with Dynamic Vocabulary. - Saeed Rahmani, Sabine Rieder, Erwin de Gelder, Marcel Sonntag, Jorge Lorente Mallada, Sytze Kalisvaart, Vahid Hashemi, Simeon C. Calvert:
A Systematic Review of Edge Case Detection in Automated Driving: Methods, Challenges and Future Directions. - Bowei Zhu, Shaojie Li, Yong Liu:
Towards Sharper Risk Bounds for Minimax Problems. - Yinan Feng, Yinpeng Chen, Yueh Lee, Youzuo Lin:
On a Hidden Property in Computational Imaging. - Yi Wen Heng, Zeyang Ma, Zhenhao Li, Dong Jae Kim, Tse-Hsun Chen:
Studying and Benchmarking Large Language Models For Log Level Suggestion. - Yunpeng Gao, Zhigang Wang, Linglin Jing, Dong Wang, Xuelong Li, Bin Zhao:
Aerial Vision-and-Language Navigation via Semantic-Topo-Metric Representation Guided LLM Reasoning. - Binghui Li, Yuanzhi Li:
Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data. - Sujan Sarker, Haley N. Green, Mohammad Samin Yasar, Tariq Iqbal:
CoHRT: A Collaboration System for Human-Robot Teamwork. - Wennie Tabib, John Stecklein, Caleb McDowell, Kshitij Goel, Felix Jonathan, Abhishek Rathod, Meghan Kokoski, Edsel Burkholder, Brian Wallace, Luis Ernesto Navarro-Serment, Nikhil Angad Bakshi, Tejus Gupta, Norman Papernick, David Guttendorf, Erik E. Kahn, Jessica Kasemer, Jesse Holdaway, Jeff Schneider:
Decentralized Uncertainty-Aware Active Search with a Team of Aerial Robots. - Yiyue Chen, Abolfazl Hashemi, Haris Vikalo:
Accelerated Distributed Stochastic Non-Convex Optimization over Time-Varying Directed Networks. - Zhou Zheng, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Kensaku Mori:
A Bayesian Approach to Weakly-supervised Laparoscopic Image Segmentation. - Shantanu Ghosh, Tiankang Xie, Mikhail Kuznetsov:
Distributionally robust self-supervised learning for tabular data. - Mohammad Robati Shirzad, Patrick Lam:
WasmWalker: Path-based Code Representations for Improved WebAssembly Program Analysis. - Syed Tauhidun Nabi, Zhuowei Wen, Brooke Ritter, Shaddi Hasan:
Red is Sus: Automated Identification of Low-Quality Service Availability Claims in the US National Broadband Map. - Duraimurugan Rajamanickam:
Improving Legal Entity Recognition Using a Hybrid Transformer Model and Semantic Filtering Approach. - Mohit Gupta, Debjit Bhowmick, Meead Saberi, Shirui Pan, Ben Beck:
Evaluating the effects of Data Sparsity on the Link-level Bicycling Volume Estimation: A Graph Convolutional Neural Network Approach. - Junchao Lin, Zenan Ling, Zhanbo Feng, Feng Zhou, Jingwen Xu, Robert C. Qiu:
IGNN-Solver: A Graph Neural Solver for Implicit Graph Neural Networks. - Myra Cheng, Alicia DeVrio, Lisa Egede, Su Lin Blodgett, Alexandra Olteanu:
"I Am the One and Only, Your Cyber BFF": Understanding the Impact of GenAI Requires Understanding the Impact of Anthropomorphic AI. - Yangyi Chen, Binxuan Huang, Yifan Gao, Zhengyang Wang, Jingfeng Yang, Heng Ji:
Scaling Laws for Predicting Downstream Performance in LLMs. - Zekun Qian, Ruize Han, Junhui Hou, Linqi Song, Wei Feng:
VOVTrack: Exploring the Potentiality in Videos for Open-Vocabulary Object Tracking. - Shengyu Hao, Wenhao Chai, Zhonghan Zhao, Meiqi Sun, Wendi Hu, Jieyang Zhou, Yixian Zhao, Qi Li, Yizhou Wang, Xi Li, Gaoang Wang:
Ego3DT: Tracking Every 3D Object in Ego-centric Videos. - Xiaoyu Yue, Zidong Wang, Zeyu Lu, Shuyang Sun, Meng Wei, Wanli Ouyang, Lei Bai, Luping Zhou:
Diffusion Models Need Visual Priors for Image Generation. - Abhijay Ghildyal, Yuanhan Chen, Saman Zadtootaghaj, Nabajeet Barman, Alan C. Bovik:
Quality Prediction of AI Generated Images and Videos: Emerging Trends and Opportunities. - Aldo Gael Carranza, Susan Athey:
Robust Offline Policy Learning with Observational Data from Multiple Sources. - Xinran Li, Ling Pan, Jun Zhang:
Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement Learning. - Baohua Zhang, Yongyi Huang, Wenyao Cui, Huaping Zhang, Jianyun Shang:
Humanity in AI: Detecting the Personality of Large Language Models. - Xinyu Liao, Aoyang Qin, Jacob H. Seidman, Junqi Wang, Wei Wang, Paris Perdikaris:
Score Neural Operator: A Generative Model for Learning and Generalizing Across Multiple Probability Distributions. - Pascal Zwick, Kevin Rösch, Marvin Klemp, Oliver Bringmann:
Context-Aware Full Body Anonymization using Text-to-Image Diffusion Models. - Shaobo Liu, Guiran Liu, Binrong Zhu, Yuanshuai Luo, Linxiao Wu, Rui Wang:
Balancing Innovation and Privacy: Data Security Strategies in Natural Language Processing Applications. - Sanchari Das:
Design of Secure, Privacy-focused, and Accessible E-Payment Applications for Older Adults. - Shiu Mochiyama, Ryo Takahashi, Yoshihiko Susuki, Tsutomu Wakabayashi, Takumi Tanaka, Toshinari Momose, Hideki Yamaguchi:
A System of Bidirectional Power Routing Toward Multi-energy Management. - Ruikai Yang, Mingzhen He, Zhengbao He, Youmei Qiu, Xiaolin Huang:
MUSO: Achieving Exact Machine Unlearning in Over-Parameterized Regimes. - Sehun Kim:
Learning General Representation of 12-Lead Electrocardiogram with a Joint-Embedding Predictive Architecture. - Vishnu Dutt Sharma:
Enhanced Robot Planning and Perception through Environment Prediction. - Praveen Kumar Shukla, Hubert Cecotti, Yogesh Kumar Meena:
Towards Effective Deep Neural Network Approach for Multi-Trial P300-based Character Recognition in Brain-Computer Interfaces. - Ho-Chien Huang, Chao-Lin Liu:
Similar Phrases for Cause of Actions of Civil Cases. - Yadong Li, Haoze Sun, Mingan Lin, Tianpeng Li, Guosheng Dong, Tao Zhang, Bowen Ding, Wei Song, Zhenglin Cheng, Yuqi Huo, Song Chen, Xu Li, Da Pan, Shusen Zhang, Xin Wu, Zheng Liang, Jun Liu, Tao Zhang, Keer Lu, Yaqi Zhao, Yanjun Shen, Fan Yang, Kaicheng Yu, Tao Lin, Jianhua Xu, Zenan Zhou, Weipeng Chen:
Baichuan-Omni Technical Report. - Tianyu Sun, Dingchang Hu, Yixiang Dai, Guijin Wang:
Diffusion-Based Depth Inpainting for Transparent and Reflective Objects. - Hrushikesh Etikikota, Yogesh Kumar Meena:
Predictive Tree-based Virtual Keyboard for Improved Gaze Typing. - Nikhil Bangad, Vivekananda Jayaram, Manjunatha Sughaturu Krishnappa, Amey Ram Banarse, Darshan Mohan Bidkar, Akshay Nagpal, Vidyasagar Parlapalli:
A Theoretical Framework for AI-driven data quality monitoring in high-volume data environments. - Julien Zhou, Pierre Gaillard, Thibaud Rahier, Julyan Arbel:
Logarithmic Regret for Unconstrained Submodular Maximization Stochastic Bandit. - Simin Xu, Yanfang Su, Kanglong Liu:
Integrating AI for Enhanced Feedback in Translation Revision- A Mixed-Methods Investigation of Student Engagement. - Nguyen Huu Bao Long, Chenyu Zhang, Yuzhi Shi, Tsubasa Hirakawa, Takayoshi Yamashita, Tohgoroh Matsui, Hironobu Fujiyoshi:
DeBiFormer: Vision Transformer with Deformable Agent Bi-level Routing Attention. - Shuai Chen, Zhoujun Li:
Intent-Enhanced Data Augmentation for Sequential Recommendation. - Yefei He, Feng Chen, Jing Liu, Wenqi Shao, Hong Zhou, Kaipeng Zhang, Bohan Zhuang:
ZipVL: Efficient Large Vision-Language Models with Dynamic Token Sparsification and KV Cache Compression. - I-Chun Chen, Hsu-Shen Liu, Wei-Fang Sun, Chen-Hao Chao, Yen-Chang Hsu, Chun-Yi Lee:
Retraining-Free Merging of Sparse Mixture-of-Experts via Hierarchical Clustering. - Joris Guérin, Shray Bansal, Amirreza Shaban, Paulo Mann, Harshvardhan Gazula:
VIBES - Vision Backbone Efficient Selection. - Houlun Chen, Xin Wang, Hong Chen, Zeyang Zhang, Wei Feng, Bin Huang, Jia Jia, Wenwu Zhu:
VERIFIED: A Video Corpus Moment Retrieval Benchmark for Fine-Grained Video Understanding. - Florence Dupin de Saint-Cyr, Anne-Gwenn Bosser, Benjamin Callac, Eric Maisel:
What killed the cat? Towards a logical formalization of curiosity (and suspense, and surprise) in narratives. - Nusrat Jahan Prottasha, Asif Mahmud, Md. Shohanur Islam Sobuj, Prakash Bhat, Md. Kowsher, Niloofar Yousefi, Özlem Özmen Garibay:
Parameter-Efficient Fine-Tuning of Large Language Models using Semantic Knowledge Tuning. - Jean-François Raskin, Yun Chen Tsai:
Synthesis from LTL with Reward Optimization in Sampled Oblivious Environments. - Alvaro Paz, Mohammad Bahari, Jouni Mattila:
Energy-Cautious Designation of Kinematic Parameters for a Sustainable Parallel-Serial Heavy-Duty Manipulator Driven by Electromechanical Linear Actuator. - Yurong Wu, Yan Gao, Bin Benjamin Zhu, Zineng Zhou, Xiaodi Sun, Sheng Yang, Jian-Guang Lou, Zhiming Ding, Linjun Yang:
StraGo: Harnessing Strategic Guidance for Prompt Optimization. - Mirko Baglioni, Apurva Patil, Luis Sentis, Anahita Jamshidnejad:
Achieving multi uav best viewpoint coordination in obstructed environments. - Shojiro Yamabe, Tsubasa Takahashi, Futa Waseda, Koki Wataoka:
MergePrint: Robust Fingerprinting against Merging Large Language Models. - Zeyu Xiang, Haifeng Wang, Jiayi Lv, Yujie Wang, Yuxue Wang, Yuxuan Ma, Jinchi Chen:
Riemannian Gradient Descent Method to Joint Blind Super-Resolution and Demixing in ISAC. - Mehrshad Momen-Tayefeh:
Text-To-Image with Generative Adversarial Networks. - Mengyuan Chen, Junyu Gao, Changsheng Xu:
Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models. - Purushothaman Natarajan, Kamal Basha S, Athira Nambiar:
Synth-SONAR: Sonar Image Synthesis with Enhanced Diversity and Realism via Dual Diffusion Models and GPT Prompting. - Zhe Dong, Yuzhe Sun, Yanfeng Gu, Tianzhu Liu:
Cross-Modal Bidirectional Interaction Model for Referring Remote Sensing Image Segmentation. - Daniel Marcolin, Yasuyuki Todo, Mahendra Piraveenan:
Interdependency and cascading failures in co-patenting and shareholding interfirm networks. - Wei Zhang, Pengfei Li, Junli Wang, Bingchuan Sun, Qihao Jin, Guangjun Bao, Shibo Rui, Yang Yu, Wenchao Ding, Peng Li, Yilun Chen:
Dual-AEB: Synergizing Rule-Based and Multimodal Large Language Models for Effective Emergency Braking. - Jingwei Xu, Mingkai Dong, Qiulin Tian, Ziyi Tian, Tong Xin, Haibo Chen:
AsyncFS: Metadata Updates Made Asynchronous for Distributed Filesystems with In-Network Coordination. - Bing Wu, Qian Liu:
TactileAR: Active Tactile Pattern Reconstruction. - Xiaopei Zhu, Peiyang Xu, Guanning Zeng, Yingpeng Dong, Xiaolin Hu:
Natural Language Induced Adversarial Images. - Philipp Christmann, Svitlana Vakulenko, Ionut-Teodor Sorodoc, Bill Byrne, Adrià de Gispert:
Retrieving Contextual Information for Long-Form Question Answering using Weak Supervision. - Dominik Fischer, Loi Do, Miana Smith, Jirí Zemánek:
Data-driven Feedback Control of Lattice Structures with Localized Actuation and Sensing. - Yishan Lv, Jing Luo, Boyuan Ju, Xinyu Yang:
Small Tunes Transformer: Exploring Macro & Micro-Level Hierarchies for Skeleton-Conditioned Melody Generation. - David Woller, Masoumeh Mansouri, Miroslav Kulich:
Making a Complete Mess and Getting Away with it: Traveling Salesperson Problems with Circle Placement Variants. - Jiazhen Chen, Sichao Fu, Zhibin Zhang, Zheng Ma, Mingbin Feng, Tony S. Wirjanto, Qinmu Peng:
Towards Cross-domain Few-shot Graph Anomaly Detection. - Unai Ruiz-Gonzalez, Alain Andres, Pedro G. Bascoy, Javier Del Ser:
Words as Beacons: Guiding RL Agents with High-Level Language Prompts. - Juno Kim, Taiji Suzuki:
Transformers Provably Solve Parity Efficiently with Chain of Thought. - Yubo Peng, Feibo Jiang, Li Dong, Kezhi Wang, Kun Yang:
GAI-Enabled Explainable Personalized Federated Semi-Supervised Learning. - Jadon Fowler, Toby Dylan Hocking:
Efficient line search for optimizing Area Under the ROC Curve in gradient descent. - Rafael Pablos-Sarabia, Joachim Nyborg, Morten Birk, Jeppe Liborius Sjørup, Anders Lillevang Vesterholt, Ira Assent:
Multi-Source Temporal Attention Network for Precipitation Nowcasting. - Elisabeth Steffen:
More than Memes: A Multimodal Topic Modeling Approach to Conspiracy Theories on Telegram. - Ruizhe Zeng, Lu Zhang, Xu Yang, Zhiyong Liu:
Boosting Open-Vocabulary Object Detection by Handling Background Samples. - Roberto Rocco, Elisabetta Boella, Daniele Gregori, Gianluca Palermo:
To Repair or Not to Repair: Assessing Fault Resilience in MPI Stencil Applications. - Song Wu, Zhiyu Zhu, Junhui Hou, Guangming Shi, Jinjian Wu:
E-Motion: Future Motion Simulation via Event Sequence Diffusion. - Marc Duclusaud, Grégoire Passault, Vincent Padois, Olivier Ly:
Extended Friction Models for the Physics Simulation of Servo Actuators. - Gleb I. Radchenko, Victoria Andrea Fill:
Edge AI Collaborative Learning: Bayesian Approaches to Uncertainty Estimation. - Adan Moran-MacDonald, Manfredi Maggiore, Xingbo Wang:
From gymnastics to virtual nonholonomic constraints: energy injection, dissipation, and regulation for the acrobot. - Toby Dylan Hocking:
Finite Sample Complexity Analysis of Binary Segmentation. - Clément Gaspard, Marc Duclusaud, Grégoire Passault, Mélodie Daniel, Olivier Ly:
FRASA: An End-to-End Reinforcement Learning Agent for Fall Recovery and Stand Up of Humanoid Robots. - Bryce Ferenczi, Rhys Newbury, Michael G. Burke, Tom Drummond:
Carefully Structured Compression: Efficiently Managing StarCraft II Data. - Peiran Wang, Xiaogeng Liu, Chaowei Xiao:
RePD: Defending Jailbreak Attack through a Retrieval-based Prompt Decomposition Process. - Changhun Lee, Jungyu Jin, Younghyun Cho, Eunhyeok Park:
QEFT: Quantization for Efficient Fine-Tuning of LLMs. - Peiran Wang, Haohan Wang:
DistDD: Distributed Data Distillation Aggregation through Gradient Matching. - Yanfeng Jiang, Zelan Yang, Bohua Chen, Shen Li, Yong Li, Tao Li:
DeltaDQ: Ultra-High Delta Compression for Fine-Tuned LLMs via Group-wise Dropout and Separate Quantization. - Yang Zhou, Hao Shao, Letian Wang, Steven L. Waslander, Hongsheng Li, Yu Liu:
SmartPretrain: Model-Agnostic and Dataset-Agnostic Representation Learning for Motion Prediction. - Philipp Jovanovic, Lefteris Kokoris-Kogias, Bryan Kumara, Alberto Sonnino, Pasindu Tennage, Igor Zablotchi:
Mahi-Mahi: Low-Latency Asynchronous BFT DAG-Based Consensus. - Maruf Hassan, Steven Davy:
SpikeBottleNet: Energy Efficient Spike Neural Network Partitioning for Feature Compression in Device-Edge Co-Inference Systems. - Nizar Habash, Hanada Taha-Thomure, Khalid N. Elmadani, Zeina Zeino, Abdallah Abushmaes:
Guidelines for Fine-grained Sentence-level Arabic Readability Annotation. - Karina Kvanchiani, Petr Surovtsev, Alexander Nagaev, Elizaveta Petrova, Alexander Kapitanov:
Bukva: Russian Sign Language Alphabet. - Agnia Sergeyuk, Ekaterina Koshchenko, Ilya Zakharov, Timofey Bryksin, Maliheh Izadi:
The Design Space of in-IDE Human-AI Experience. - Jeongho Ahn, Kazuto Nakashima, Koki Yoshino, Yumi Iwashita, Ryo Kurazume:
Gait Sequence Upsampling using Diffusion Models for Single LiDAR Sensors. - Bryce Ferenczi, Michael G. Burke, Tom Drummond:
Efficiently Scanning and Resampling Spatio-Temporal Tasks with Irregular Observations. - Hanieh Shojaei, Qianqian Zou, Max Mehltretter:
Uncertainty Estimation and Out-of-Distribution Detection for LiDAR Scene Semantic Segmentation. - Jin Cao, Deyu Meng, Xiangyong Cao:
Chain-of-Restoration: Multi-Task Image Restoration Models are Zero-Shot Step-by-Step Universal Image Restorers. - Suchang Chen, Dongliang Fan, Huijuan Feng, Jian S. Dai:
Bio-inspired reconfigurable stereo vision for robotics using omnidirectional cameras. - Zhongyi Sang, Kotaro Funakoshi, Manabu Okumura:
Contrastive Knowledge Distillation for Robust Multimodal Sentiment Analysis. - Yue Yang, Shuibai Zhang, Wenqi Shao, Kaipeng Zhang, Yi Bin, Yu Wang, Ping Luo:
Dynamic Multimodal Evaluation with Flexible Complexity by Vision-Language Bootstrapping. - Sheng Yang, Yurong Wu, Yan Gao, Zineng Zhou, Bin Benjamin Zhu, Xiaodi Sun, Jian-Guang Lou, Zhiming Ding, Anbang Hu, Yuan Fang, Yunsong Li, Junyan Chen, Linjun Yang:
AMPO: Automatic Multi-Branched Prompt Optimization. - Anvesh Rao Vijjini, Rakesh R. Menon, Jiayi Fu, Shashank Srivastava, Snigdha Chaturvedi:
SocialGaze: Improving the Integration of Human Social Norms in Large Language Models. - Christoph Döpmann, Maximilian Weisenseel, Florian Tschorsch:
Progressive Pruning: Estimating Anonymity of Stream-Based Communication. - George Danezis, Lefteris Kokoris-Kogias, Alberto Sonnino, Mingwei Tian:
Obelia: Scaling DAG-Based Blockchains to Hundreds of Validators. - Xiangyu Hong, Che Jiang, Biqing Qi, Fandong Meng, Mo Yu, Bowen Zhou, Jie Zhou:
On the token distance modeling ability of higher RoPE attention dimension. - Cagri Ari, Md Kamran Chowdhury Shisher, Yin Sun, Elif Uysal:
Goal-Oriented Communications for Real-time Inference with Two-Way Delay. - Satoshi Hayakawa, Yuhta Takida, Masaaki Imaizumi, Hiromi Wakaki, Yuki Mitsufuji:
Distillation of Discrete Diffusion through Dimensional Correlations. - Petrus Mikkola, Luigi Acerbi, Arto Klami:
Preferential Normalizing Flows. - Jan Finkbeiner, Emre Neftci:
On-Chip Learning via Transformer In-Context Learning. - Samed Yalçin, Hazim Kemal Ekenel:
Impact of Surface Reflections in Maritime Obstacle Detection. - Stefan Walzer, Marvin Williams:
A Simple yet Exact Analysis of the MultiQueue. - Pierre Fouilhoux, Lucas Létocart, Yue Zhang:
A generic Branch-and-Cut algorithm for bi-objective binary linear programs. - Yunchao Wang, Zihang Fu, Chaoqing Xu, Guodao Sun, Ronghua Liang:
Investigating Human-Computer Interaction and Visual Comprehension in Text Generation Process of Natural Language Generation Models. - Lukasz Dzierzkowski:
The generalized method of solving ECDLP using quantum annealing. - Michael Gundall, Jörg Schneider, Hans D. Schotten, Markus Aleksy, Dirk Schulz, Norman Franchi, Nick Schwarzenberg, Christian Markwart, Rüdiger Halfmann, Peter Rost, Dirk Wübben, Arne Neumann, Monique Düngen, Thomas Neugebauer, Rolf Blunk, Mehmet Kus, Jan Grießbach:
5G as Enabler for Industrie 4.0 Use Cases: Challenges and Concepts.
- Ran Wei, Joseph Lee, Shohei Wakayama, Alexander Tschantz, Conor Heins, Christopher Buckley, John Carenbauer, Hari Thiruvengada, Mahault Albarracin, Miguel de Prado, Petter Horling, Peter Winzell, Renjith Rajagopal:
Navigation under uncertainty: Trajectory prediction and occlusion reasoning with switching dynamical systems. - Daniel Medeiros, Jacob Wahlgren, Gabin Schieffer, Ivy Peng:
Kub: Enabling Elastic HPC Workloads on Containerized Environments. - Zijin Luo, Xu Wang, Yiquan Wang, Haotian Zhang, Zhuangzhuang Li:
A Personalized MOOC Learning Group and Course Recommendation Method Based on Graph Neural Network and Social Network Analysis. - Runsong Zhu, Shi Qiu, Qianyi Wu, Ka-Hei Hui, Pheng-Ann Heng, Chi-Wing Fu:
PCF-Lift: Panoptic Lifting by Probabilistic Contrastive Fusion. - William A. Stigall:
Transforming Game Play: A Comparative Study of DCQN and DTQN Architectures in Reinforcement Learning. - Zhengwei Yang, Yuke Li, Qiang Sun, Basura Fernando, Heng Huang, Zheng Wang:
Cross-Modal Few-Shot Learning: a Generative Transfer Learning Framework. - Aivin V. Solatorio, Gabriel Stefanini Vicente, Holly Krambeck, Olivier Dupriez:
Double Jeopardy and Climate Impact in the Use of Large Language Models: Socio-economic Disparities and Reduced Utility for Non-English Speakers. - Taozhe Li, Wei Sun:
MLP-SLAM: Multilayer Perceptron-Based Simultaneous Localization and Mapping With a Dynamic and Static Object Discriminator. - Yahan Li, Tingyu Xia, Yi Chang, Yuan Wu:
Large Language Model Evaluation via Matrix Nuclear-Norm. - Rory Young, Nicolas Pugeault:
Enhancing Robustness in Deep Reinforcement Learning: A Lyapunov Exponent Approach. - Peiwen Sun, Sitong Cheng, Xiangtai Li, Zhen Ye, Huadai Liu, Honggang Zhang, Wei Xue, Yike Guo:
Both Ears Wide Open: Towards Language-Driven Spatial Audio Generation. - Arpan Mukherjee, Shashanka Ubaru, Keerthiram Murugesan, Karthikeyan Shanmugam, Ali Tajer:
Combinatorial Multi-armed Bandits: Arm Selection via Group Testing. - Ananya Rahaman, Anny Zheng, Mostafa Milani, Fei Chiang, Rachel Pottinger:
Evaluating SQL Understanding in Large Language Models. - Felix Brändle, Frank Allgöwer:
A System Parameterization for Direct Data-Driven Estimator Synthesis. - Wanyun Xie, Thomas Pethick, Volkan Cevher:
SAMPa: Sharpness-aware Minimization Parallelized. - Julius Rückin, Federico Magistri, Cyrill Stachniss, Marija Popovic:
Active Learning of Robot Vision Using Adaptive Path Planning. - Mohammad Asif Ibna Mustafa, Ferdinand Heinrich:
Building a Multivariate Time Series Benchmarking Datasets Inspired by Natural Language Processing (NLP). - Eduardo Lavin, Miguel Ruiz-Garcia:
Dynamical loss functions shape landscape topography and improve learning in artificial neural networks. - Jiazhi Guan, Quanwei Yang, Kaisiyuan Wang, Hang Zhou, Shengyi He, Zhiliang Xu, Haocheng Feng, Errui Ding, Jingdong Wang, Hongtao Xie, Youjian Zhao, Ziwei Liu:
TALK-Act: Enhance Textural-Awareness for 2D Speaking Avatar Reenactment with Diffusion Model. - Qibing Ren, Hao Li, Dongrui Liu, Zhanxu Xie, Xiaoya Lu, Yu Qiao, Lei Sha, Junchi Yan, Lizhuang Ma, Jing Shao:
Derail Yourself: Multi-turn LLM Jailbreak Attack through Self-discovered Clues. - Alaa Awad, Mohamed Hegazy, Salah A. Aly:
Early Diagnoses of Acute Lymphoblastic Leukemia Using YOLOv8 and YOLOv11 Deep Learning Models. - Andreas Blass, Nachum Dershowitz, Yuri Gurevich:
Exact Exploration. - Yosuke Yamagishi, Shouhei Hanaoka:
Ensemble of ConvNeXt V2 and MaxViT for Long-Tailed CXR Classification with View-Based Aggregation. - Jiahui Liu, Mark Zhandry:
Composability in Watermarking Schemes. - Akshaya Srinivasan, Alexander Geng, Antonio Macaluso, Maximilian Kiefer-Emmanouilidis, Ali Moghiseh:
Benefiting from Quantum? A Comparative Study of Q-Seg, Quantum-Inspired Techniques, and U-Net for Crack Segmentation. - Rasoul Shafipour, David Harrison, Maxwell Horton, Jeffrey Marker, Houman Bedayat, Sachin Mehta, Mohammad Rastegari, Mahyar Najibi, Saman Naderiparizi:
SeedLM: Compressing LLM Weights into Seeds of Pseudo-Random Generators. - Gal Fiebelman, Tamir Cohen, Ayellet Morgenstern, Peter Hedman, Hadar Averbuch-Elor:
4-LEGS: 4D Language Embedded Gaussian Splatting. - Shuying Xu, Junjie Hu, Ming Jiang:
Large Language Models Are Active Critics in NLG Evaluation. - Serap A. Savari:
A Counterexample in Image Registration. - Giorgos Iacovides, Wuyang Zhou, Danilo Mandic:
Towards LLM-guided Efficient and Interpretable Multi-linear Tensor Network Rank Selection. - Xiang Zhang, Hsien-Chung Lin, Yu Zhao, Masayoshi Tomizuka:
Harnessing with Twisting: Single-Arm Deformable Linear Object Manipulation for Industrial Harnessing Task. - Junyu Chen, Han Cai, Junsong Chen, Enze Xie, Shang Yang, Haotian Tang, Muyang Li, Yao Lu, Song Han:
Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models. - Kuofeng Gao, Huanqia Cai, Qingyao Shuai, Dihong Gong, Zhifeng Li:
Embedding Self-Correction as an Inherent Ability in Large Language Models for Enhanced Mathematical Reasoning. - Vrund Shah, Tejas Chaudhari, Naresh Manwani:
Towards Calibrated Losses for Adversarial Robust Reject Option Classification. - Saunak Kumar Panda, Ruiqi Liu, Yisha Xiang:
Online Statistical Inference for Time-varying Sample-averaged Q-learning. - Yuqi Wang, Ke Cheng, Jiawei He, Qitai Wang, Hengchen Dai, Yuntao Chen, Fei Xia, Zhaoxiang Zhang:
DrivingDojo Dataset: Advancing Interactive and Knowledge-Enriched Driving World Model. - Ishan Jindal, Chandana Badrinath, Pranjal Bharti, Lakkidi Vinay, Sachin Dev Sharma:
Balancing Continuous Pre-Training and Instruction Fine-Tuning: Optimizing Instruction-Following in LLMs. - Pengrui Quan, Xiaomin Ouyang, Jeya Vikranth Jeyakumar, Ziqi Wang, Yang Xing, Mani Srivastava:
SensorBench: Benchmarking LLMs in Coding-Based Sensor Processing. - Yanbiao Ji, Chang Liu, Xin Chen, Yue Ding, Dan Luo, Mei Li, Wenqing Lin, Hongtao Lu:
NT-LLM: A Novel Node Tokenizer for Integrating Graph Structure into Large Language Models. - Hossein Mirzaei, Mackenzie W. Mathis:
Adversarially Robust Out-of-Distribution Detection Using Lyapunov-Stabilized Embeddings. - Xinli Xu, Wenhang Ge, Jiantao Lin, Jiawei Feng, Lie Xu, HanFeng Zhao, Shunsi Zhang, Ying-Cong Chen:
FlexGen: Flexible Multi-View Generation from Text and Image Inputs. - Zhang Wan, Sheng Tang, Jiawei Wei, Ruize Zhang, Juan Cao:
DragEntity: Trajectory Guided Video Generation using Entity and Positional Relationships. - Jan Cegin, Branislav Pecher, Jakub Simko, Ivan Srba, Maria Bielikova, Peter Brusilovsky:
Use Random Selection for Now: Investigation of Few-Shot Selection Strategies in LLM-based Text Augmentation for Classification. - Akrit Mudvari, Yuang Jiang, Leandros Tassiulas:
SplitLLM: Collaborative Inference of LLMs for Model Placement and Throughput Optimization. - Kuofeng Gao, Tianyu Pang, Chao Du, Yong Yang, Shu-Tao Xia, Min Lin:
Denial-of-Service Poisoning Attacks against Large Language Models. - Jiayi Zhang, Jinyu Xiang, Zhaoyang Yu, Fengwei Teng, Xionghui Chen, Jiaqi Chen, Mingchen Zhuge, Xin Cheng, Sirui Hong, Jinlin Wang, Bingnan Zheng, Bang Liu, Yuyu Luo, Chenglin Wu:
AFlow: Automating Agentic Workflow Generation. - Youwei Yu, Junhong Xu, Lantao Liu:
Adaptive Diffusion Terrain Generator for Autonomous Uneven Terrain Navigation. - Ilan Adler, Martin Bullinger, Vijay V. Vazirani:
A Generalization of von Neumann's Reduction from the Assignment Problem to Zero-Sum Games. - Etai Littwin, Vimal Thilak, Anand Gopalakrishnan:
Enhancing JEPAs with Spatial Conditioning: Robust and Efficient Representation Learning. - Dejia Xu, Yifan Jiang, Chen Huang, Liangchen Song, Thorsten Gernoth, Liangliang Cao, Zhangyang Wang, Hao Tang:
Cavia: Camera-controllable Multi-view Video Diffusion with View-Integrated Attention. - Maxwell Lin, Shihan Lin, Helen Wu, Karen Wang, Xiaowei Yang:
Browsing without Third-Party Cookies: What Do You See? - Lihe Yang, Zhen Zhao, Hengshuang Zhao:
UniMatch V2: Pushing the Limit of Semi-Supervised Semantic Segmentation. - Shuoqiu Li, Han Xu, Haipeng Chen:
Focused ReAct: Improving ReAct through Reiterate and Early Stop. - Ekkasit Pinyoanuntapong, Muhammad Usama Saleem, Korrawe Karunratanakul, Pu Wang, Hongfei Xue, Chen Chen, Chuan Guo, Junli Cao, Jian Ren, Sergey Tulyakov:
ControlMM: Controllable Masked Motion Generation. - Xiangming Gu, Tianyu Pang, Chao Du, Qian Liu, Fengzhuo Zhang, Cunxiao Du, Ye Wang, Min Lin:
When Attention Sink Emerges in Language Models: An Empirical View. - Eduardo R. Corral-Soto, Yang Liu, Tongtong Cao, Yuan Ren, Liu Bingbing:
3DArticCyclists: Generating Simulated Dynamic 3D Cyclists for Human-Object Interaction (HOI) and Autonomous Driving Applications. - Nimrod Shabtay, Felipe Maia Polo, Sivan Doveh, Wei Lin, M. Jehanzeb Mirza, Leshem Chosen, Mikhail Yurochkin, Yuekai Sun, Assaf Arbelle, Leonid Karlinsky, Raja Giryes:
LiveXiv - A Multi-Modal Live Benchmark Based on Arxiv Papers Content. - Johan Hatleskog, Kostas Alexis:
Probabilistic Degeneracy Detection for Point-to-Plane Error Minimization. - Kajetan Schweighofer, Lukas Aichberger, Mykyta Ielanskyi, Sepp Hochreiter:
On Information-Theoretic Measures of Predictive Uncertainty. - Ran Hu, James P. Bailey:
On the Approximability of the Yolk in the Spatial Model of Voting. - Jianqi Chen, Panwen Hu, Xiaojun Chang, Zhenwei Shi, Michael Christian Kampffmeyer, Xiaodan Liang:
Sitcom-Crafter: A Plot-Driven Human Motion Generation System in 3D Scenes. - Tim Broedermann, Christos Sakaridis, Yuqian Fu, Luc Van Gool:
Condition-Aware Multimodal Fusion for Robust Semantic Perception of Driving Scenes. - Litu Rout, Yujia Chen, Nataniel Ruiz, Constantine Caramanis, Sanjay Shakkottai, Wen-Sheng Chu:
Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations. - Sachin Goyal, Christina Baek, J. Zico Kolter, Aditi Raghunathan:
Context-Parametric Inversion: Why Instruction Finetuning May Not Actually Improve Context Reliance. - Robin Fritsch, Maria Inês Silva, Akaki Mamageishvili, Benjamin Livshits, Edward W. Felten:
MEV Capture Through Time-Advantaged Arbitrage. - Jian Yang, Dacheng Yin, Yizhou Zhou, Fengyun Rao, Wei Zhai, Yang Cao, Zheng-Jun Zha:
MMAR: Towards Lossless Multi-Modal Auto-Regressive Probabilistic Modeling. - Yiming Zuo, Karhan Kayan, Maggie Wang, Kevin Jeon, Jia Deng, Thomas L. Griffiths:
Towards Foundation Models for 3D Vision: How Close Are We? - Aakanksha, Arash Ahmadian, Seraphina Goldfarb-Tarrant, Beyza Ermis, Marzieh Fadaee, Sara Hooker:
Mix Data or Merge Models? Optimizing for Diverse Multi-Task Learning. - Soon Yau Cheong, Duygu Ceylan, Armin Mustafa, Andrew Gilbert, Chun-Hao Paul Huang:
Boosting Camera Motion Control for Video Diffusion Transformers. - Yanjie Ze, Zixuan Chen, Wenhao Wang, Tianyi Chen, Xialin He, Ying Yuan, Xue Bin Peng, Jiajun Wu:
Generalizable Humanoid Manipulation with Improved 3D Diffusion Policies. - Qingze Liu, Danrui Li, Samuel S. Sohn, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic:
TrajDiffuse: A Conditional Diffusion Model for Environment-Aware Trajectory Prediction. - Sharon Hendy, Yehuda Dar:
TL-PCA: Transfer Learning of Principal Component Analysis. - Youngjae Min, Anoopkumar Sonar, Navid Azizan:
Hard-Constrained Neural Networks with Universal Approximation Guarantees. - Daniel Gareev, Thomas Hofmann, Ezhilmathi Krishnasamy, Tiago Pimentel:
Local and Global Decoding in Text Generation. - Jonathan Kahana, Eliahu Horwitz, Imri Shuval, Yedid Hoshen:
Deep Linear Probe Generators for Weight Space Learning. - Haotian Tang, Yecheng Wu, Shang Yang, Enze Xie, Junsong Chen, Junyu Chen, Zhuoyang Zhang, Han Cai, Yao Lu, Song Han:
HART: Efficient Visual Generation with Hybrid Autoregressive Transformer. - Di Wu, Hongwei Wang, Wenhao Yu, Yuwei Zhang, Kai-Wei Chang, Dong Yu:
LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory. - Ziyue Li, Tianyi Zhou:
Your Mixture-of-Experts LLM Is Secretly an Embedding Model For Free. - Honghui Yang, Di Huang, Wei Yin, Chunhua Shen, Haifeng Liu, Xiaofei He, Binbin Lin, Wanli Ouyang, Tong He:
Depth Any Video with Scalable Synthetic Data. - Tianwei Xiong, Yuqing Wang, Daquan Zhou, Zhijie Lin, Jiashi Feng, Xihui Liu:
LVD-2M: A Long-take Video Dataset with Temporally Dense Captions. - Shobhita Sundaram, Stephanie Fu, Lukas Muttenthaler, Netanel Y. Tamir, Lucy Chai, Simon Kornblith, Trevor Darrell, Phillip Isola:
When Does Perceptual Alignment Benefit Vision Representations? - Mu Cai, Reuben Tan, Jianrui Zhang, Bocheng Zou, Kai Zhang, Feng Yao, Fangrui Zhu, Jing Gu, Yiwu Zhong, Yuzhang Shang, Yao Dou, Jaden Park, Jianfeng Gao, Yong Jae Lee, Jianwei Yang:
TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models. - Guangxuan Xiao, Jiaming Tang, Jingwei Zuo, Junxian Guo, Shang Yang, Haotian Tang, Yao Fu, Song Han:
DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads. - Jingzhi Bao, Xueting Li, Ming-Hsuan Yang:
Tex4D: Zero-shot 4D Scene Texturing with Video Diffusion Models. - Siyeop Yoon, Yujin Oh, Xiang Li, Yi Xin, Maurizio Cereda, Quanzheng Li:
High-Fidelity 3D Lung CT Synthesis in ARDS Swine Models Using Score-Based 3D Residual Diffusion Models. - Milad Naeimaei Aali, Felix Mannhardt, Pieter Jelle Toussaint:
The CEKG: A Tool for Constructing Event Graphs in the Care Pathways of Multi-Morbid Patients. - Zhangqi Duan, Nigel Fernandez, Alexander Hicks, Andrew Lan:
Test Case-Informed Knowledge Tracing for Open-ended Coding Tasks. - Victor Maudonet, Carlos Frederico Trotta Matt, Americo Cunha Jr:
Uncertainty quantification on the prediction of creep remaining useful life. - Xiaonan Xu, Haoshuo Chen, Jesse E. Simsarian, Roland Ryf, Nicolas K. Fontaine, Mikael Mazur, Lauren Dallachiesa, David T. Neilson:
Large Language Model-Driven Cross-Domain Orchestration Using Multi-Agent Workflow. - Lihao Qiu, Ming Zhu, JeeWoong Park, Yingtao Jiang, Hualiang Teng:
Non-Interrupting Rail Track Geometry Measurement System Using UAV and LiDAR. - Zhidong Gao, Zhenxiao Zhang, Yu Zhang, Tongnian Wang, Yanmin Gong, Yuanxiong Guo:
Online Client Scheduling and Resource Allocation for Efficient Federated Edge Learning. - Di Zhang, Bowen Lv, Hai Zhang, Feifan Yang, Junqiao Zhao, Hang Yu, Chang Huang, Hongtu Zhou, Chen Ye, Changjun Jiang:
Focus On What Matters: Separated Models For Visual-Based RL Generalization. - Heyuan Huang, Xingyu Lou, Chaochao Chen, Pengxiang Cheng, Yue Xin, Chengwei He, Xiang Liu, Jun Wang:
DIIT: A Domain-Invariant Information Transfer Method for Industrial Cross-Domain Recommendation. - Angel Ruiz-Zafra, Manuel Noguera, Kawtar Benghazi, Sergio F. Ochoa:
A Cloud collaborative approach for managing patients wellness. - Ganiyu Oladimeji:
Evaluating the Effectiveness of SIWES Programs for Computer Science Students at Moshood Abiola Polytechnic, Abeokuta. - Hans de Ferrante, Marieke de Rosner-Van Rosmalen, Bart Smeulders, Frits C. R. Spieksma, Serge Vogelaar:
A discrete event simulator for policy evaluation in liver allocation in Eurotransplant. - Keivan Alizadeh, Iman Mirzadeh, Hooman Shahrokhi, Dmitry Belenko, Frank Sun, Minsik Cho, Mohammad Hossein Sekhavat, Moin Nabi, Mehrdad Farajtabar:
Duo-LLM: A Framework for Studying Adaptive Computation in Large Language Models. - Yifan Gong, Yushu Wu, Zheng Zhan, Pu Zhao, Liangkai Liu, Chao Wu, Xulong Tang, Yanzhi Wang:
Lotus: learning-based online thermal and latency variation management for two-stage detectors on edge devices. - Divyam Sharma, Divya Santhanam:
Crafting Narrative Closures: Zero-Shot Learning with SSM Mamba for Short Story Ending Generation. - He Li, Jianhang Hong, Yuanzhuo Wu, Snehal Adbol, Zonglin Li:
Continuous Approximations for Improving Quantization Aware Training of LLMs. - Toluwani Aremu, Oluwakemi Akinwehinmi, Chukwuemeka Nwagu, Syed Ishtiaque Ahmed, Rita Orji, Pedro Arnau Del Amo, Abdulmotaleb El Saddik:
On the Reliability of Large Language Models to Misinformed and Demographically-Informed Prompts. - Haozhou Pang, Tianwei Ding, Lanshan He, Ming Tao, Lu Zhang, Qi Gan:
LLM Gesticulator: Leveraging Large Language Models for Scalable and Controllable Co-Speech Gesture Synthesis. - Connor Walker, Callum Rothon, Koorosh Aslansefat, Yiannis Papadopoulos, Nina Dethlefs:
SafeLLM: Domain-Specific Safety Monitoring for Large Language Models: A Case Study of Offshore Wind Maintenance. - Abdul Muqtadir, Hafiz Syed Muhammad Bilal, Ayesha Yousaf, Hafiz Farooq Ahmed, Jamil Hussain:
Mitigating Hallucinations Using Ensemble of Knowledge Graph and Vector Store in Large Language Models to Enhance Mental Health Support. - Shramay Palta, Nishant Balepur, Peter Rankel, Sarah Wiegreffe, Marine Carpuat, Rachel Rudinger:
Plausibly Problematic Questions in Multiple-Choice Benchmarks for Commonsense Reasoning. - Yijiang Li, Qingying Gao, Haoran Sun, Haiyun Lyu, Dezhi Luo, Hokin Deng:
CogDevelop2K: Reversed Cognitive Development in Multimodal Large Language Models. - Siyuan Huang, Zhiyuan Ma, Jintao Du, Changhua Meng, Weiqiang Wang, Zhouhan Lin:
Mirror-Consistency: Harnessing Inconsistency in Majority Voting. - Yew Ken Chia, Guizhen Chen, Weiwen Xu, Luu Anh Tuan, Soujanya Poria, Lidong Bing:
Reasoning Paths Optimization: Learning to Reason and Explore From Diverse Paths. - Li Zeng, Yingyu Shan, Zeming Liu, Jiashu Yao, Yuhang Guo:
FAME: Towards Factual Multi-Task Model Editing. - Navid Madani, Anusha Bagalkotkar, Supriya Anand, Gabriel Arnson, Rohini Srihari, Kenneth Joseph:
A Recipe For Building a Compliant Real Estate Chatbot. - Chinmay Dandekar, Wenda Xu, Xi Xu, Siqi Ouyang, Lei Li:
Translation Canvas: An Explainable Interface to Pinpoint and Analyze Translation Systems. - Jianwei Li, Jung-Eun Kim:
Superficial Safety Alignment Hypothesis. - Shu Yang, Shenzhe Zhu, Ruoxuan Bao, Liang Liu, Yu Cheng, Lijie Hu, Mengdi Li, Di Wang:
What makes your model a low-empathy or warmth person: Exploring the Origins of Personality in LLMs. - Yang Ba, Michelle V. Mancenido, Rong Pan:
Fill In The Gaps: Model Calibration and Generalization with Synthetic Data. - Xu Guo, Zilin Du, Boyang Li, Chunyan Miao:
Generating Synthetic Datasets for Few-shot Prompt Tuning. - YuXuan Wu, Bonaventure F. P. Dossou, Dianbo Liu:
CodeUnlearn: Amortized Zero-Shot Machine Unlearning in Language Models Using Discrete Concept. - Théo Gigant, Camille Guinaudeau, Marc Decombas, Frédéric Dufaux:
Mitigating the Impact of Reference Quality on Evaluation of Summarization Systems with Reference-Free Metrics. - Jingyang Qiao, Zhizhong Zhang, Xin Tan, Yanyun Qu, Shouhong Ding, Yuan Xie:
LLaCA: Multimodal Large Language Continual Assistant. - Ryota Tozuka, Hisashi Johno, Akitomo Amakawa, Junichi Sato, Mizuki Muto, Shoichiro Seki, Atsushi Komaba, Hiroshi Onishi:
Application of NotebookLM, a Large Language Model with Retrieval-Augmented Generation, for Lung Cancer Staging. - Rana Muhammad Shahroz Khan, Pingzhi Li, Sukwon Yun, Zhenyu Wang, Shahriar Nirjon, Chau-Wai Wong, Tianlong Chen:
PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches. - Simon Lermen, Mateusz Dziemian, Govind Pimpale:
Applying Refusal-Vector Ablation to Llama 3.1 70B Agents. - Zhenchao Jin, Mengchen Liu, Dongdong Chen, Lingting Zhu, Yunsheng Li, Lequan Yu:
ToolBridge: An Open-Source Dataset to Equip LLMs with External Tool Capabilities. - Jiajia Huang, Haoran Zhu, Chao Xu, Tianming Zhan, Qianqian Xie, Jimin Huang:
AuditWen:An Open-Source Large Language Model for Audit. - Feiyang Wang, Qiaozhi Bao, Zixuan Wang, Yanlin Chen:
Optimizing Transformer based on high-performance optimizer for predicting employment sentiment in American social media content. - Hamed Sajadinia, Ali Aghdaei, Zhuo Feng:
SHyPar: A Spectral Coarsening Approach to Hypergraph Partitioning. - Zhenyu Xu, Kun Zhang, Victor S. Sheng:
FreqMark: Frequency-Based Watermark for Sentence-Level Detection of LLM-Generated Text. - Jinlong Pang, Jiaheng Wei, Ankit Parag Shah, Zhaowei Zhu, Yaxuan Wang, Chen Qian, Yang Liu, Yujia Bao, Wei Wei:
Improving Data Efficiency via Curating LLM-Driven Rating Systems. - Guoxiong Gao, Yutong Wang, Jiedong Jiang, Qi Gao, Zihan Qin, Tianyi Xu, Bin Dong:
Herald: A Natural Language Annotated Lean 4 Dataset. - Mingliang Liang, Martha Larson:
Enhancing Vision-Language Model Pre-training with Image-text Pair Pruning Based on Word Frequency. - Hengxiang Zhang, Songxin Zhang, Bingyi Jing, Hongxin Wei:
Fine-tuning can Help Detect Pretraining Data from Large Language Models. - Ori Friesen, Lori Ziegelmeier:
Understanding U.S. Racial Segregation Through Persistent Homology. - Sudhakar Sah, Ravish Kumar, Darshan C. Ganji, Ehsan Saboori:
ActNAS : Generating Efficient YOLO Models using Activation NAS. - Xurui Li, Juanjuan Yao:
AT-MoE: Adaptive Task-planning Mixture of Experts via LoRA Approach. - Will Denton, Lilly Chiavetta, Michael Bryant, Vedarsh Shah, Rico Zhu, Ricky Weerts, Phillip Xue, Vincent Chen, Hung Le, Maxwell Lin, Austin Camacho, Drew Council, Ethan Horowitz, Jackie Ong, Morgan Chu, Alex Pool:
Oogway: Designing, Implementing, and Testing an AUV for RoboSub 2023. - Hongxin Ding, Yue Fang, Runchuan Zhu, Xinke Jiang, Jinyang Zhang, Yongxin Xu, Xu Chu, Junfeng Zhao, Yasha Wang:
3DS: Decomposed Difficulty Data Selection's Case Study on LLM Medical Domain Adaptation. - Andrew Jesson, Yiding Jiang:
Improving Generalization on the ProcGen Benchmark with Simple Architectural Changes and Scale. - Hugo A. López, Thomas T. Hildebrandt:
Three Decades of Formal Methods in Business Process Compliance: A Systematic Literature Review. - Mohammad Al-Sayed Ahmad, Jude Haddad:
An Explainable AI Model for Predicting the Recurrence of Differentiated Thyroid Cancer. - Edward Berman, Jacob Ginesin:
The State of Julia for Scientific Machine Learning. - Haiquan Lu, Yefan Zhou, Shiwei Liu, Zhangyang Wang, Michael W. Mahoney, Yaoqing Yang:
AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models. - Choi Changin, Lim Sungjun, Rhee Wonjong:
Audio Captioning via Generative Pair-to-Pair Retrieval with Refined Knowledge Base. - Shen Yuan, Hongteng Xu:
Towards Better Multi-head Attention via Channel-wise Sample Permutation. - Qianru Zhang, Haixin Wang, Siu-Ming Yiu, Hongzhi Yin:
Graph Masked Autoencoder for Spatio-Temporal Graph Learning. - Liubov Tupikina, Kathuria Hritika:
Dissecting embedding method: learning higher-order structures from data. - Hanlin Gu, Hong Xi Tae, Chee Seng Chan, Lixin Fan:
A few-shot Label Unlearning in Vertical Federated Learning. - Hong Li, Zhiquan Tan, Xingyu Li, Weiran Huang:
ATLAS: Adapter-Based Multi-Modal Continual Learning with a Two-Stage Learning Strategy. - Zhen Qin, Zhaomin Wu, Bingsheng He, Shuiguang Deng:
Federated Data-Efficient Instruction Tuning for Large Language Models. - Pablo Jaramillo, Ivan Sipiran:
Cultural Heritage 3D Reconstruction with Diffusion Networks. - Christofel Rio Goenawan:
ASTM :Autonomous Smart Traffic Management System Using Artificial Intelligence CNN and LSTM. - Max Hamilton, Christian Lange, Elijah Cole, Alexander Shepard, Samuel Heinrich, Oisin Mac Aodha, Grant Van Horn, Subhransu Maji:
Combining Observational Data and Language for Species Range Estimation. - Mingchen Zhuge, Changsheng Zhao, Dylan Ashley, Wenyi Wang, Dmitrii Khizbullin, Yunyang Xiong, Zechun Liu, Ernie Chang, Raghuraman Krishnamoorthi, Yuandong Tian, Yangyang Shi, Vikas Chandra, Jürgen Schmidhuber:
Agent-as-a-Judge: Evaluate Agents with Agents. - Shiran Yuan, Hao Zhao:
Hybrid Spatial Representations for Species Distribution Modeling. - Stefan Roth, Aydin Sezgin:
A Structural Analysis of the User Behavior Dynamics for Environmentally Sustainable ICT. - Farhang Yeganegi, Arian Eamaz, Mojtaba Soltanalian:
Data-Aware Training Quality Monitoring and Certification for Reliable Deep Learning. - Weronika Ormaniec, Felix Dangel, Sidak Pal Singh:
What Does It Mean to Be a Transformer? Insights from a Theoretical Hessian Analysis. - Pin-Lun Hsu, Yun Dai, Vignesh Kothapalli, Qingquan Song, Shao Tang, Siyu Zhu, Steven Shimizu, Shivam Sahni, Haowen Ning, Yanning Chen:
Liger Kernel: Efficient Triton Kernels for LLM Training. - Raquel Meister Ko Freitag, Túlio Sousa de Gois:
Performance in a dialectal profiling task of LLMs for varieties of Brazilian Portuguese. - Aditya Bhattacharjee, Shubhr Singh, Emmanouil Benetos:
GraFPrint: A GNN-Based Approach for Audio Identification. - Emmanouil Zaranis, Giuseppe Attanasio, Sweta Agrawal, André F. T. Martins:
Watching the Watchers: Exposing Gender Disparities in Machine Translation Quality Estimation. - Johannes Bostelmann, Ole Gildemeister, Jan Lellmann:
Stationary Velocity Fields on Matrix Groups for Deformable Image Registration. - Eryk Banatt, Jonathan Cheng, Skanda Vaidyanath, Tiffany Hwu:
WILT: A Multi-Turn, Memorization-Robust Inductive Logic Benchmark for LLMs. - Akihiro Takemura, Katsumi Inoue:
Generating Global and Local Explanations for Tree-Ensemble Learning Methods by Answer Set Programming. - Haozhen Zhang, Tao Feng, Jiaxuan You:
Graph of Records: Boosting Retrieval Augmented Generation for Long-context Summarization with Graphs. - Fangru Lin, Shaoguang Mao, Emanuele La Malfa, Valentin Hofmann, Adrian de Wynter, Jing Yao, Si-Qing Chen, Michael Wooldridge, Furu Wei:
One Language, Many Gaps: Evaluating Dialect Fairness and Robustness of Large Language Models in Reasoning Tasks. - Abdellah El Mekki, Muhammad Abdul-Mageed:
Effective Self-Mining of In-Context Examples for Unsupervised Machine Translation with LLMs. - Xiaoying Song, Sujana Mamidisetty, Eduardo Blanco, Lingzi Hong:
Assessing the Human Likeness of AI-Generated Counterspeech. - Qianxin Qu, Xinyu Zhang, Yijin Xiong, Shichun Guo, Ziqiang Song, Jun Li:
V2I-Calib++: A Multi-terminal Spatial Calibration Approach in Urban Intersections for Collaborative Perception. - Benjamin Towle, Ke Zhou:
Enhancing AI Assisted Writing with One-Shot Implicit Negative Feedback. - Shaghayegh Esmaeili, Irelis D. Suarez, Ezekiel Ajayi, Eric D. Ragan:
Empirical Insights into Analytic Provenance Summarization: A Study on Segmenting Data Analysis Workflows. - Xuhui Kang, Yen-Ling Kuo:
Incorporating Task Progress Knowledge for Subgoal Generation in Robotic Manipulation through Image Edits. - Jing Liang, He Yin, Xuewei Qi, Jong Jin Park, Min Sun, Rajasimman Madhivanan, Dinesh Manocha:
ET-Former: Efficient Triplane Deformable Attention for 3D Semantic Scene Completion From Monocular Camera. - Bokai Hu, Sai Ashish Somayajula, Xin Pan, Zihan Huang, Pengtao Xie:
Improving the Language Understanding Capabilities of Large Language Models Using Reinforcement Learning. - Harley Wiltzer, Marc G. Bellemare, David Meger, Patrick Shafto, Yash Jhaveri:
Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning. - Mohsen Sombolestan, Quan Nguyen:
Safety-critical Motion Planning for Collaborative Legged Loco-Manipulation over Discrete Terrain. - Christian Henkel, Marc Toussaint, Wolfgang Hönig:
GSRM: Building Roadmaps for Query-Efficient and Near-Optimal Path Planning Using a Reaction Diffusion System. - Efimia Panagiotaki, Daniele De Martini, Lars Kunze, Petar Velickovic:
NAR-*ICP: Neural Execution of Classical ICP-based Pointcloud Registration Algorithms. - Michael Painter:
Towards a More Complete Theory of Function Preserving Transforms. - Federico Nocentini, Thomas Besnier, Claudio Ferrari, Sylvain Arguillere, Stefano Berretti, Mohamed Daoudi:
Beyond Fixed Topologies: Unregistered Training and Comprehensive Evaluation Metrics for 3D Talking Heads. - Yuri Gardinazzi, Giada Panerai, Karthik Viswanathan, Alessio Ansuini, Alberto Cazzaniga, Matteo Biagetti:
Persistent Topological Features in Large Language Models. - Julia R. Fischer, Nilam Ram:
Personality Differences Drive Conversational Dynamics: A High-Dimensional NLP Approach. - Liang Tao, Yixin Xie, Jeffrey D. Deng, Hui Shen, Hong-Wen Deng, Weihua Zhou, Chen Zhao:
SGUQ: Staged Graph Convolution Neural Network for Alzheimer's Disease Diagnosis using Multi-Omics Data. - Joe Halpern, Rafael Pass, Aditya Saraf:
Fair Interest Rates Are Impossible for Lending Pools: Results from Options Pricing. - Jihan Yao, Wenxuan Ding, Shangbin Feng, Lucy Lu Wang, Yulia Tsvetkov:
Varying Shades of Wrong: Aligning LLMs with Wrong Answers Only. - Zhongtao Liu, Parker Riley, Daniel Deutsch, Alison Lui, Mengmeng Niu, Apu Shah, Markus Freitag:
Beyond Human-Only: Evaluating Human-Machine Collaboration for Collecting High-Quality Translation Data. - Nathaniel Demchak, Xin Guan, Zekun Wu, Ziyi Xu, Adriano Koshiyama, Emre Kazim:
Assessing Bias in Metric Models for LLM Open-Ended Generation Bias Benchmarks. - Bo Tang, Elias B. Khalil, Ján Drgona:
Learning to Optimize for Mixed-Integer Non-linear Programming. - Sjoerd Groot, Qinyu Chen, Jan C. van Gemert, Chang Gao:
CleanUMamba: A Compact Mamba Network for Speech Denoising using Channel Pruning. - Michael N. Vrahatis:
Towards the methodology for solving the minimum enclosing ball and related problems. - Dhruva Chayapathy, Tavis Siebert, Lucas Spangher, Akshata Kishore Moharir, Om Manoj Patil, Cristina Rea:
Time Series Viewmakers for Robust Disruption Prediction. - Jaesung Huh, Andrew Zisserman:
Character-aware audio-visual subtitling in context. - Creston Brooks, Johannes Haubold, Charlie Cowen-Breen, Jay White, Desmond DeVaul, Frederick Riemenschneider, Karthik Narasimhan, Barbara Graziosi:
An Annotated Dataset of Errors in Premodern Greek and Baselines for Detecting Them. - Mengdi Wang, Matthew Cong, Bo Zhu:
An Interface Tracking Method with Triangle Edge Cuts. - Elliott Wen, Jiaxing Shen, Burkhard Wuensche:
Keep Me Updated: An Empirical Study of Proprietary Vendor Blobs in Android Firmware. - Mingwen Dong, Nischal Ashok Kumar, Yiqun Hu, Anuj Chauhan, Chung-Wei Hang, Shuaichen Chang, Lin Pan, Wuwei Lan, Henghui Zhu, Jiarong Jiang, Patrick Ng, Zhiguo Wang:
PRACTIQ: A Practical Conversational Text-to-SQL dataset with Ambiguous and Unanswerable Queries. - Szymon Milosz, Pawel Kapusta:
Predicting Chess Puzzle Difficulty with Transformers. - Ayushman Gupta, Akhil Bhogal, Kripabandhu Ghosh:
Code-Mixer Ya Nahi: Novel Approaches to Measuring Multilingual LLMs' Code-Mixing Capabilities. - Raja Kumar, Vanshika Vats:
Few-shot Novel View Synthesis using Depth Aware 3D Gaussian Splatting. - Cheng Lu, Yang Song:
Simplifying, Stabilizing and Scaling Continuous-Time Consistency Models. - Sharon Levy, William D. Adler, Tahilin Sanchez Karver, Mark Dredze, Michelle R. Kaufman:
Gender Bias in Decision-Making with Large Language Models: A Study of Relationship Conflicts. - Shahira Ali, Haley N. Green, Tariq Iqbal:
What Am I? Evaluating the Effect of Language Fluency and Task Competency on the Perception of a Social Robot. - Hemant Yadav, Rajiv Ratn Shah, Sunayana Sitaram:
JOOCI: a Framework for Learning Comprehensive Speech Representations. - Ian Covert, Tony Sun, James Zou, Tatsunori Hashimoto:
Locality Alignment Improves Vision-Language Models. - Kapil Khanal, Nate DeGoede, Olivia Vitale, Maha N. Haji:
Multi-Objective Multidisciplinary Optimization of Wave Energy Converter Array Layout and Controls. - Tyler Chen:
The Lanczos algorithm for matrix functions: a handbook for scientists. - Shamiul Alam, Simon Thomann, Shivendra Singh Parihar, Yogesh Singh Chauhan, Kai Ni, Hussam Amrouch, Ahmedullah Aziz:
Energy-Efficient Cryogenic Ternary Content Addressable Memory using Ferroelectric SQUID. - Abdoul Aziz Amadou, Yue Zhang, Sebastien Piat, Paul Klein, Ingo Schmuecking, Tiziano Passerini, Puneet Sharma:
EchoApex: A General-Purpose Vision Foundation Model for Echocardiography. - Bradley Wei Jie Teo, Ben L. Titzer:
Unboxing Virgil ADTs for Fun and Profit. - Yu Yang, Yuzhou Nie, Zhun Wang, Yuheng Tang, Wenbo Guo, Bo Li, Dawn Song:
SecCodePLT: A Unified Platform for Evaluating the Security of Code GenAI. - Catherine Han, Anne Li, Deepak Kumar, Zakir Durumeric:
Characterizing the MrDeepFakes Sexual Deepfake Marketplace. - Luis Chuquimarca, Boris Vintimilla, Sergio Velastin:
Classifying Healthy and Defective Fruits with a Multi-Input Architecture and CNN Models. - Pablo Soler Garcia, Petar Lukovic, Lucie Reynaud, Andrea Sgobbi, Federica Bruni, Martin Brun, Marc Zünd, Riccardo Bollati, Marc Pollefeys, Hermann Blum, Zuria Bauer:
HoloSpot: Intuitive Object Manipulation via Mixed Reality Drag-and-Drop. - Gretchen L. Matthews, Emily McMillon:
A Combinatorial Approach to Avoiding Weak Keys in the BIKE Cryptosystem. - Alan T. L. Bacellar, Zachary Susskind, Mauricio Breternitz Jr., Eugene John, Lizy K. John, Priscila M. V. Lima, Felipe M. G. França:
Differentiable Weightless Neural Networks. - Sabit Hassan, Anthony Sicilia, Malihe Alikhani:
Active Learning for Robust and Representative LLM Generation in Safety-Critical Scenarios. - Ruihan Xu, Yiping Lu:
Randomized Iterative Solver as Iterative Refinement: A Simple Fix Towards Backward Stability. - Yiping Lu, Daozhe Lin, Qiang Du:
Which Spaces can be Embedded in Lp-type Reproducing Kernel Banach Space? A Characterization via Metric Entropy. - Ashutosh Kumar, Sarthak Kaushal, Shiv Vignesh Murthy:
MoonMetaSync: Lunar Image Registration Analysis. - Yan Li, Soyeon Caren Han, Yue Dai, Feiqi Cao:
ChuLo: Chunk-Level Key Information Representation for Long Document Processing. - Qiyang Sun, Alican Akman, Xin Jing, Manuel Milling, Björn W. Schuller:
Audio-based Kinship Verification Using Age Domain Conversion. - Eason Chen, Danyang Wang, Luyi Xu, Chen Cao, Xiao Fang, Jionghao Lin:
A Systematic Review on Prompt Engineering in Large Language Models for K-12 STEM Education. - Kangning Cui, Wei Tang, Rongkun Zhu, Manqi Wang, Gregory D. Larsen, Victor P. Pauca, Sarra Alqahtani, Fan Yang, David Segurado, Paul Fine, Jordan Karubian, Raymond H. Chan, Robert J. Plemmons, Jean-Michel Morel, Miles R. Silman:
Real-Time Localization and Bimodal Point Pattern Analysis of Palms Using UAV Imagery. - Hui Ye, Rajshekhar Sunderraman, Shihao Ji:
UAV3D: A Large-scale 3D Perception Benchmark for Unmanned Aerial Vehicles. - Nikolai Rozanov, Vikentiy Pankov, Dmitrii Mukhutdinov, Dima Vypirailenko:
IsoChronoMeter: A simple and effective isochronic translation evaluation metric. - Allison Pinosky, Todd D. Murphey:
Embodied Active Learning of Generative Sensor-Object Models. - Alessandro Erba, John H. Castellanos, Sahil Sihag, Saman Zonouz, Nils Ole Tippenhauer:
Sensor Deprivation Attacks for Stealthy UAV Manipulation. - Sean Lamont, Christian Walder, Amir Dezfouli, Paul Montague, Michael Norrish:
3D-Prover: Diversity Driven Theorem Proving With Determinantal Point Processes. - Nikhil Vanjani, Pratik Soni, Sri AravindaKrishnan Thyagarajan:
Functional Adaptor Signatures: Beyond All-or-Nothing Blockchain-based Payments. - Asher Trockman, Hrayr Harutyunyan, J. Zico Kolter, Sanjiv Kumar, Srinadh Bhojanapalli:
Mimetic Initialization Helps State Space Models Learn to Recall. - Shriram M. S, Sushmitha S, Gayathri K. S, Shahina A:
Can Structured Data Reduce Epistemic Uncertainty? - Shixun Wu, Krishnan Raghavan, Sheng Di, Zizhong Chen, Franck Cappello:
DGRO: Diameter-Guided Ring Optimization for Integrated Research Infrastructure Membership. - Yaxuan Wang, Jiaheng Wei, Chris Yuhao Liu, Jinlong Pang, Quan Liu, Ankit Parag Shah, Yujia Bao, Yang Liu, Wei Wei:
LLM Unlearning via Loss Adjustment with Only Forget Data. - Tran Xuan Hieu Le, Hoai Luan Pham, Tuan Hai Vu, Vu Trung Duong Le, Nakashima Yasuhiko:
Theoretical Analysis of the Efficient-Memory Matrix Storage Method for Quantum Emulation Accelerators with Gate Fusion on FPGAs. - Severi Rissanen, Markus Heinonen, Arno Solin:
Free Hunch: Denoiser Covariance Estimation for Diffusion Models Without Extra Costs. - Anis Redjdal, Luis Pinto, Michel Desmarais:
Optimizing Encoder-Only Transformers for Session-Based Recommendation Systems. - Andrew Levy, Alessandro Allievi, George Konidaris:
Latent-Predictive Empowerment: Measuring Empowerment without a Simulator. - Anand Balakrishnan, Merve Atasever, Jyotirmoy V. Deshmukh:
Motion Planning for Automata-based Objectives using Efficient Gradient-based Methods. - Xianping Ma, Xiaokang Zhang, Man-On Pun, Bo Huang:
MANet: Fine-Tuning Segment Anything Model for Multimodal Remote Sensing Semantic Segmentation. - Wentang Song, Yuzhen Lin, Bin Li:
Towards General Deepfake Detection with Dynamic Curriculum. - Shangbin Feng, Zifeng Wang, Yike Wang, Sayna Ebrahimi, Hamid Palangi, Lesly Miculicich, Achin Kulshrestha, Nathalie Rauschmayr, Yejin Choi, Yulia Tsvetkov, Chen-Yu Lee, Tomas Pfister:
Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence. - Weixuan Liu, Xinyue Zhang, Yuhan Helena Liu:
How Initial Connectivity Shapes Biologically Plausible Learning in Recurrent Neural Networks. - Zhitong Xu, Da Long, Yiming Xu, Guang Yang, Shandian Zhe, Houman Owhadi:
Toward Efficient Kernel-Based Solvers for Nonlinear PDEs. - Lucas Betts, Robert Biddle, Danielle Lottridge, Giovanni Russello:
Exploring Content Concealment in Email. - Karen Medlin, Sven Leyffer, Krishnan Raghavan:
A Bilevel Optimization Framework for Imbalanced Data Classification. - Colin Cooper, Frederik Mallmann-Trenn, Tomasz Radzik, Nobutaka Shimizu, Takeharu Shiraga:
Asynchronous 3-Majority Dynamics with Many Opinions. - Shweta Patel, Dakshina Ranjan Kisku:
Improving Bias in Facial Attribute Classification: A Combined Impact of KL Divergence induced Loss Function and Dual Attention. - Kola Ayonrinde, Michael T. Pearce, Lee Sharkey:
Interpretability as Compression: Reconsidering SAE Explanations of Neural Activations with MDL-SAEs. - Jinyu Liu, Hongye Guo, Yun Li, Qinghu Tang, Fuquan Huang, Tunan Chen, Haiwang Zhong, Qixin Chen:
Reinforcement Learning Based Bidding Framework with High-dimensional Bids in Power Markets. - Hanbo Huang, Yihan Li, Bowen Jiang, Lin Liu, Ruoyu Sun, Zhuotao Liu, Shiyu Liang:
Archilles' Heel in Semi-open LLMs: Hiding Bottom against Recovery Attacks. - Wonhee Cho, Guillaume Hanrot, Taeseong Kim, Minje Park, Damien Stehlé:
Fast and Accurate Homomorphic Softmax Evaluation. - Haiquan Qiu, Shuzhi Liu, Quanming Yao:
Neural Symbolic Regression of Complex Network Dynamics.
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