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ORCIDCoRR, November 2024
- Ziheng Guo, Igor Cialenco, Ming Zhong:
Noise Guided Structural Learning from Observing Stochastic Dynamics. - Seong-Hyun Hong, Hyun-Sung Kim, Zian Jang, Byung-Jun Lee:
IC/DC: Surpassing Heuristic Solvers in Combinatorial Optimization with Diffusion Models. - Meng Chen, Philip Arthur, Qianyu Feng, Cong Duy Vu Hoang, Yu-Heng Hong, Mahdi Kazemi Moghaddam, Omid Nezami, Thien Nguyen, Gioacchino Tangari, Duy Vu, Thanh Vu, Mark Johnson, Krishnaram Kenthapadi, Don Dharmasiri, Long Duong, Yuan-Fang Li:
Mastering the Craft of Data Synthesis for CodeLLMs. - Yaoqi Guo, Zhenpeng Chen, Jie M. Zhang, Yang Liu, Yun Ma:
Personality-Guided Code Generation Using Large Language Models. - Mohsen Raoufi, Pawel Romanczuk, Heiko Hamann:
LARS: Light Augmented Reality System for Swarm. - Sota Takagi, Miki Saijo, Takumi Ohashi:
Consumer Segmentation and Participation Drivers in Community-Supported Agriculture: A Choice Experiment and PLS-SEM Approach. - J. M. Conejero, J. C. Preciado, A. E. Prieto, M. C. Bas, V. J. Bolos:
Applying Data Driven Decision Making to rank Vocational and Educational Training Programs with TOPSIS. - Ram Manohar, S. M. Mallikarjunaiah:
An hp-adaptive discontinuous Galerkin discretization of a static anti-plane shear crack model. - Zifeng Wang, Hanyin Wang, Benjamin Danek, Ying Li, Christina Mack, Hoifung Poon, Yajuan Wang, Pranav Rajpurkar, Jimeng Sun:
A Perspective for Adapting Generalist AI to Specialized Medical AI Applications and Their Challenges. - Jean Leneutre, Vadim Malvone, James Ortiz:
Probabilistic Obstruction Temporal Logic: a Probabilistic Logic to Reason about Dynamic Models. - Yibo Dong, Yu Chen, Jianwen Li, Geguang Pu, Ofer Strichman:
Revisiting Assumptions Ordering in CAR-Based Model Checking. - Zhehao Zhang, Ryan A. Rossi, Branislav Kveton, Yijia Shao, Diyi Yang, Hamed Zamani, Franck Dernoncourt, Joe Barrow, Tong Yu, Sungchul Kim, Ruiyi Zhang, Jiuxiang Gu, Tyler Derr, Hongjie Chen, Junda Wu, Xiang Chen, Zichao Wang, Subrata Mitra, Nedim Lipka, Nesreen Ahmed, Yu Wang:
Personalization of Large Language Models: A Survey. - Zhilun Zhou, Jingyang Fan, Yu Liu, Fengli Xu, Depeng Jin, Yong Li:
Synergizing LLM Agents and Knowledge Graph for Socioeconomic Prediction in LBSN. - Donghoon Kim, Gusang Lee, Kyuhong Shim, Byonghyo Shim:
Preserving Pre-trained Representation Space: On Effectiveness of Prefix-tuning for Large Multi-modal Models. - Danrun Cao, Nicolas Béchet, Pierre-François Marteau:
WikiNER-fr-gold: A Gold-Standard NER Corpus. - Xinguo Yu, Weina Cheng, Chuanzhi Yang, Ting Zhang:
A Theoretical Review on Solving Algebra Problems. - Mikael Mortensen:
A faster multipole Legendre-Chebyshev transform. - Herman Lassche, Michiel Overeem, Ayushi Rastogi:
Is Our Chatbot Telling Lies? Assessing Correctness of an LLM-based Dutch Support Chatbot. - Mart Lubbers, Peter Achten:
Clean for Haskell Programmers. - Yaran Fan, Jamie Pool, Senja Filipi, Ross Cutler:
Topic-Conversation Relevance (TCR) Dataset and Benchmarks. - Yulong Wang, Chang Zuo, Yin Xuan, Hong Li, Ni Wei:
Linear Chain Transformation: Expanding Optimization Dynamics for Fine-Tuning Large Language Models. - Qi Wang, Pu Ren, Hao Zhou, Xin-Yang Liu, Zhiwen Deng, Yi Zhang, Ruizhi Chengze, Hongsheng Liu, Zidong Wang, Jian-Xun Wang, Ji-Rong Wen, Hao Sun, Yang Liu:
P2C2Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics. - Parvez Zamil, Gollam Rabby, Md. Sadekur Rahman, Sören Auer:
NeuroSym-BioCAT: Leveraging Neuro-Symbolic Methods for Biomedical Scholarly Document Categorization and Question Answering. - Amogh Akella:
Improving Math Problem Solving in Large Language Models Through Categorization and Strategy Tailoring. - Alex Kaltenbach, Michael Ruzicka:
Conditional quasi-optimal error estimate for a finite element discretization of the p-Navier-Stokes equations: The case p>2. - B. D. Lam, S. Ma, I. Kovalenko, P. Wang, O. Jafari, A. Li, S. Horng:
MIMIC-IV-Ext-PE: Using a large language model to predict pulmonary embolism phenotype in the MIMIC-IV dataset. - Elena Kardanova, Alina Ivanova, Ksenia Tarasova, Taras Pashchenko, Aleksei Tikhoniuk, Elen Yusupova, Anatoly Kasprzhak, Yaroslav Kuzminov, Ekaterina Kruchinskaia, Irina Brun:
A Novel Psychometrics-Based Approach to Developing Professional Competency Benchmark for Large Language Models. - Harry Caufield, Carlo Kroll, Shawn T. O'Neil, Justin T. Reese, Marcin P. Joachimiak, Harshad Hegde, Nomi L. Harris, Madan Krishnamurthy, James A McLaughlin, Damian Smedley, Melissa A Haendel, Peter N. Robinson, Christopher J. Mungall:
CurateGPT: A flexible language-model assisted biocuration tool. - Linda Feeken, Martin Fränzle:
Towards the Usage of Window Counting Constraints in the Synthesis of Reactive Systems to Reduce State Space Explosion. - Albert Nössig, Tobias Hell, Georg Moser:
Rule by Rule: Learning with Confidence through Vocabulary Expansion. - Ahmed Akib Jawad Karim, Kazi Hafiz Md. Asad, Md. Golam Rabiul Alam:
Larger models yield better results? Streamlined severity classification of ADHD-related concerns using BERT-based knowledge distillation. - Andrew Estornell, Jean-Francois Ton, Yuanshun Yao, Yang Liu:
ACC-Debate: An Actor-Critic Approach to Multi-Agent Debate. - Darian Rodriguez Vasquez, Afroditi Papadaki:
Generating Diverse Negations from Affirmative Sentences. - Akshay Rane, Kunalkumar Shelar:
Asymptotic expansions for approximate solutions of boundary integral equations. - Ziyu Ye, Rishabh Agarwal, Tianqi Liu, Rishabh Joshi, Sarmishta Velury, Quoc V. Le, Qijun Tan, Yuan Liu:
Evolving Alignment via Asymmetric Self-Play. - Kangxiang Xia, Dake Guo, Jixun Yao, Liumeng Xue, Hanzhao Li, Shuai Wang, Zhao Guo, Lei Xie, Qingqing Zhang, Lei Luo, Minghui Dong, Peng Sun:
The ISCSLP 2024 Conversational Voice Clone (CoVoC) Challenge: Tasks, Results and Findings. - Junming Duan, Wasilij Barsukow, Christian Klingenberg:
Active flux methods for hyperbolic conservation laws - flux vector splitting and bound-preservation. - Eunji Kim, Sriya Mantena, Weiwei Yang, Chandan Singh, Sungroh Yoon, Jianfeng Gao:
Interpretable Language Modeling via Induction-head Ngram Models. - Quinten Norga, Suparna Kundu, Uttam Kumar Ojha, Anindya Ganguly, Angshuman Karmakar, Ingrid Verbauwhede:
Masking Gaussian Elimination at Arbitrary Order, with Application to Multivariate- and Code-Based PQC. - Mahesh Vaijainthymala Krishnamoorthy
:
Meta-Sealing: A Revolutionizing Integrity Assurance Protocol for Transparent, Tamper-Proof, and Trustworthy AI System. - Zhenbiao Cao, Yuanlei Zheng, Zhihao Fan, Xiaojin Zhang, Wei Chen, Xiang Bai:
RSL-SQL: Robust Schema Linking in Text-to-SQL Generation. - Lamine Diop, Marc Plantevit, Arnaud Soulet:
RPS: A Generic Reservoir Patterns Sampler. - Moritz Haas, Jin Xu, Volkan Cevher, Leena Chennuru Vankadara:
μ P2: Effective Sharpness Aware Minimization Requires Layerwise Perturbation Scaling. - Zachary Roch, Ramya Akula:
Blockchain Services for Digital Government: An Exploration of NFT Applications in the Metaverse. - Junlin Guo, Siqi Lu, Can Cui, Ruining Deng, Tianyuan Yao, Zhewen Tao, Yizhe Lin, Marilyn Lionts, Quan Liu, Juming Xiong, Yu Wang, Shilin Zhao, Catie Chang, Mitchell Wilkes, Mengmeng Yin, Haichun Yang, Yuankai Huo:
How Good Are We? Evaluating Cell AI Foundation Models in Kidney Pathology with Human-in-the-Loop Enrichment. - Yilun Zhu, Jianxin Zhang, Aditya Gangrade, Clayton Scott:
Label Noise: Ignorance Is Bliss. - Matthew Chang, Gunjan Chhablani, Alexander Clegg, Mikael Dallaire Cote, Ruta Desai, Michal Hlavac, Vladimir Karashchuk, Jacob Krantz, Roozbeh Mottaghi, Priyam Parashar, Siddharth Patki, Ishita Prasad, Xavier Puig, Akshara Rai, Ram Ramrakhya, Daniel Tran, Joanne Truong, John M. Turner, Eric Undersander, Tsung-Yen Yang:
PARTNR: A Benchmark for Planning and Reasoning in Embodied Multi-agent Tasks. - Alan Yu, Ge Yang, Ran Choi, Yajvan Ravan, John Leonard, Phillip Isola:
Learning Visual Parkour from Generated Images. - Alexander Davydov, Franck Djeumou, Marcus Greiff, Makoto Suminaka, Michael Thompson, John Subosits, Thomas Lew:
First, Learn What You Don't Know: Active Information Gathering for Driving at the Limits of Handling. - Viviana Alejandra Diaz, Leandro Martin Salomone, Marcela Zuccalli:
Lagrangian neural networks for nonholonomic mechanics. - Wang Du-Yi, Liang Guo, Liu Guangwu, Zhang Kun:
Derivative-Free Optimization via Finite Difference Approximation: An Experimental Study. - Altera. AL, Andrew Ahn, Nic Becker, Stephanie Carroll, Nico Christie, Manuel Cortes, Arda Demirci, Melissa Du, Frankie Li, Shuying Luo, Peter Y. Wang, Mathew Willows, Feitong Yang, Guangyu Robert Yang:
Project Sid: Many-agent simulations toward AI civilization. - Shankara Narayanan Krishna, Khushraj Madnani, Agnipratim Nag, Paritosh Pandya:
Openness And Partial Adjacency In One Variable TPTL. - Marc Lanctot, Kate Larson, Michael Kaisers, Quentin Berthet, Ian Gemp, Manfred Diaz, Roberto-Rafael Maura-Rivero, Yoram Bachrach, Anna Koop, Doina Precup:
Soft Condorcet Optimization for Ranking of General Agents. - Zirui Zhang, Wei Hao, Aroon Sankoh, William Lin, Emanuel Mendiola-Ortiz, Junfeng Yang, Chengzhi Mao:
I Can Hear You: Selective Robust Training for Deepfake Audio Detection. - Berkay Kaplan:
Globalping: A Community-Driven, Open-Source Platform for Scalable, Real-Time Network Measurements. - Thomas Crasson, Yacine Nabet, Mathias Lécuyer:
Training and Evaluating Causal Forecasting Models for Time-Series. - David Schneider, Simon Reiß, Marco Kugler, Alexander Jaus, Kunyu Peng, Susanne Sutschet, M. Saquib Sarfraz, Sven Matthiesen, Rainer Stiefelhagen:
Muscles in Time: Learning to Understand Human Motion by Simulating Muscle Activations. - John Whitington:
Two Dimensional Hidden Surface Removal with Frame-to-frame Coherence. - Tang Li, Mengmeng Ma, Xi Peng:
Beyond Accuracy: Ensuring Correct Predictions With Correct Rationales. - Benjamin Cookson, Soroush Ebadian, Nisarg Shah:
Constrained Fair and Efficient Allocations. - Krishna Teja Chitty-Venkata, Siddhisanket Raskar, Bharat Kale, Farah Ferdaus, Aditya Tanikanti, Ken Raffenetti, Valerie Taylor, Murali Emani, Venkatram Vishwanath:
LLM-Inference-Bench: Inference Benchmarking of Large Language Models on AI Accelerators. - Sapphira Akins, Hans Mertens, Frances Zhu:
Cost-Aware Query Policies in Active Learning for Efficient Autonomous Robotic Exploration. - Ricardo Valadas, Maximilian Stölzle, Jingyue Liu, Cosimo Della Santina:
Learning Low-Dimensional Strain Models of Soft Robots by Looking at the Evolution of Their Shape with Application to Model-Based Control. - Pantelis I. Kaplanoglou, Konstantinos Diamantaras:
Learning local discrete features in explainable-by-design convolutional neural networks. - Sanaz Mahmoodi Takaghaj:
ViT-LCA: A Neuromorphic Approach for Vision Transformers. - Tong Niu, Shafiq Joty, Ye Liu, Caiming Xiong, Yingbo Zhou, Semih Yavuz:
JudgeRank: Leveraging Large Language Models for Reasoning-Intensive Reranking. - Chen Zhao, Xuan Wang, Tong Zhang, Saqib Javed, Mathieu Salzmann:
Self-Ensembling Gaussian Splatting for Few-Shot Novel View Synthesis. - Chunyan Mu, Muhammad Najib, Nir Oren:
Responsibility-aware Strategic Reasoning in Probabilistic Multi-Agent Systems. - Charles Westphal, Stephen Hailes, Mirco Musolesi:
Mutual Information Preserving Neural Network Pruning. - Michael Köhler-Bussmeier, Lorenzo Capra:
A "Symbolic" Representation of Object-Nets (Extended Version). - Christopher Richardson, Roshan Sharma, Neeraj Gaur, Parisa Haghani, Anirudh Sundar, Bhuvana Ramabhadran:
Schema Augmentation for Zero-Shot Domain Adaptation in Dialogue State Tracking. - Nursena Köprücü, Destiny Okpekpe, Antonio Orvieto:
NIMBA: Towards Robust and Principled Processing of Point Clouds With SSMs. - Antonio Almudévar, Romain Serizel, Alfonso Ortega:
Angular Distance Distribution Loss for Audio Classification. - Haritz Puerto, Martin Gubri, Sangdoo Yun, Seong Joon Oh:
Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models. - Elliot Meyerson, Olivier Francon, Darren Sargent, Babak Hodjat, Risto Miikkulainen:
Unlocking the Potential of Global Human Expertise. - Marcelo Eduardo Marques Ribas, Heloisa Benedet Mendes, Luiz Eduardo Soares de Oliveira, Luiz Antonio Zanlorensi, Paulo Ricardo Lisboa de Almeida:
Using Deep Neural Networks to Quantify Parking Dwell Time. - Catalina Rus-Casas, Carlos Gilabert-Torres, Juan Ignacio Fernandez-Carrasco:
Optimizing Energy Management and Sizing of Photovoltaic Batteries for a Household in Granada, Spain: A Novel Approach Considering Time Resolution. - Weiqin Yang, Jiawei Chen, Xin Xin, Sheng Zhou, Binbin Hu, Yan Feng, Chun Chen, Can Wang:
PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation. - Mohammad Farazi, Yalin Wang:
A Recipe for Geometry-Aware 3D Mesh Transformers. - Yue Fu, Han Bin, Tony Zhou, Marx Wang, Yixin Chen, Zelia Gomes Da Costa Lai, Jacob O. Wobbrock, Alexis Hiniker:
Creativity in the Age of AI: Evaluating the Impact of Generative AI on Design Outputs and Designers' Creative Thinking. - Ibne Hassan, Aman Mujahid, Abdullah Al Hasib, Andalib Rahman Shagoto, Joyanta Jyoti Mondal, Meem Arafat Manab, Jannatun Noor:
Aerial Flood Scene Classification Using Fine-Tuned Attention-based Architecture for Flood-Prone Countries in South Asia. - Mujin Cheon, Jay H. Lee, Dong-Yeun Koh, Calvin Tsay:
EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimization. - Kien X. Nguyen, Fengchun Qiao, Arthur Trembanis, Xi Peng:
SeafloorAI: A Large-scale Vision-Language Dataset for Seafloor Geological Survey. - John Wu, David Wu, Jimeng Sun:
Beyond Label Attention: Transparency in Language Models for Automated Medical Coding via Dictionary Learning. - Pranav Singh Chib, Pravendra Singh:
Pedestrian Trajectory Prediction with Missing Data: Datasets, Imputation, and Benchmarking. - Panagiota Gatoula, Dimitrios E. Diamantis, Anastasios Koulaouzidis, Cristina Carretero, Stefania Chetcuti-Zammit, Pablo Cortegoso Valdivia, Begoña González-Suárez, Alessandro Mussetto, John Plevris, Alexander Robertson, Bruno Rosa, Ervin Toth, Dimitris K. Iakovidis:
Clinical Evaluation of Medical Image Synthesis: A Case Study in Wireless Capsule Endoscopy. - Mark Díaz, Angela DR Smith:
What Makes An Expert? Reviewing How ML Researchers Define "Expert". - Felix Koehler, Simon Niedermayr, Rüdiger Westermann, Nils Thuerey:
APEBench: A Benchmark for Autoregressive Neural Emulators of PDEs. - Curtis Bechtel, Shaddin Dughmi:
Efficient Multi-Agent Delegated Search. - Paulius Rauba, Nabeel Seedat, Krzysztof Kacprzyk, Mihaela van der Schaar:
Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments. - Yu Pan, Jianxin Sun, Hongfeng Yu, Joe Luck, Geng Bai, Nipuna Chamara, Yufeng Ge, Tala Awada:
Building Multi-Agent Copilot towards Autonomous Agricultural Data Management and Analysis. - Tempest A. van Schaik, Xinggang Liu, Louis Atallah, Omar Badawi:
Monitoring fairness in machine learning models that predict patient mortality in the ICU. - Ce Zhou, Qiben Yan, Daniel Kent, Guangjing Wang, Weikang Ding, Ziqi Zhang, Hayder Radha:
Optical Lens Attack on Monocular Depth Estimation for Autonomous Driving. - Marek Kirejczyk, Maciej Kalka, Leonid Logvinov:
Historical and Multichain Storage Proofs. - Aris J. Aristorenas:
Machine Learning Framework for Audio-Based Content Evaluation using MFCC, Chroma, Spectral Contrast, and Temporal Feature Engineering. - Brody McNutt, Libby Zhang, Angus Carey-Douglas, Fritz Vollrath, Frank Pope, Leandra Brickson:
Whole-Herd Elephant Pose Estimation from Drone Data for Collective Behavior Analysis. - James Li, Noam Zilberstein, Alexandra Silva:
Total Outcome Logic: Proving Termination and Nontermination in Programs with Branching. - Kan Li, José C. Príncipe:
Kernel Operator-Theoretic Bayesian Filter for Nonlinear Dynamical Systems. - Nassim Oufattole, Teya Bergamaschi, Aleksia Kolo, Hyewon Jeong, Hanna Gaggin, Collin M. Stultz, Matthew B. A. McDermott:
MEDS-Tab: Automated tabularization and baseline methods for MEDS datasets. - Nidhal Jegham, Chan Young Koh, Marwan Abdelatti, Abdeltawab Hendawi:
Evaluating the Evolution of YOLO (You Only Look Once) Models: A Comprehensive Benchmark Study of YOLO11 and Its Predecessors. - Keivan Rezaei, Khyathi Chandu, Soheil Feizi, Yejin Choi, Faeze Brahman, Abhilasha Ravichander:
RESTOR: Knowledge Recovery through Machine Unlearning. - Beyazit Yalcinkaya, Niklas Lauffer, Marcell Vazquez-Chanlatte, Sanjit A. Seshia:
Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning. - Luc Jonveaux:
Using Large Language Models for a standard assessment mapping for sustainable communities. - Thanh-Dung Le, Vu Nguyen Ha, Ti Ti Nguyen, Geoffrey Eappen, Prabhu Thiruvasagam, Hong-fu Chou, Duc-Dung Tran, Luis M. Garces-Socarras, Jorge L. Gonzalez-Rios, Juan Carlos Merlano-Duncan, Symeon Chatzinotas:
Semantic Knowledge Distillation for Onboard Satellite Earth Observation Image Classification. - Shreelekha Revankar, Cheng Perng Phoo, Utkarsh Mall, Bharath Hariharan, Kavita Bala:
Scale-Aware Recognition in Satellite Images under Resource Constraint. - Hsien-Chih Chang, Vincent Cohen-Addad, Jonathan Conroy, Hung Le, Marcin Pilipczuk, Michal Pilipczuk:
Embedding Planar Graphs into Graphs of Treewidth O(log3 n). - Haozhe Lei, Yunfei Ge, Quanyan Zhu:
ADAPT: A Game-Theoretic and Neuro-Symbolic Framework for Automated Distributed Adaptive Penetration Testing. - Zachary Tam, Karthik Dharmarajan, Tianshuang Qiu, Yahav Avigal, Jeffrey Ichnowski, Ken Goldberg:
BOMP: Bin-Optimized Motion Planning. - Ehsan Ganjidoost, Jeff Orchard:
Protecting Feed-Forward Networks from Adversarial Attacks Using Predictive Coding. - Sara Honarvar, Yancy Diaz-Mercado:
Learning Optimal Interaction Weights in Multi-Agents Systems. - Gholamreza Davarpanah, Sajjad Mohammadi:
A New Switched Reluctance Motor with Embedded Permanent Magnets for Transportation Electrification. - Johanna Karras, Yingwei Li, Nan Liu, Luyang Zhu, Innfarn Yoo, Andreas Lugmayr, Chris Lee, Ira Kemelmacher-Shlizerman:
Fashion-VDM: Video Diffusion Model for Virtual Try-On. - José Ignacio Olalde-Verano, Sascha Kirch, Clara Pérez-Molina, Sergio Martin:
SambaMixer: State of Health Prediction of Li-ion Batteries using Mamba State Space Models. - Declan Campbell, Sunayana Rane, Tyler Giallanza, Nicolò De Sabbata, Kia Ghods, Amogh Joshi, Alexander Ku, Steven M. Frankland, Thomas L. Griffiths, Jonathan D. Cohen, Taylor W. Webb:
Understanding the Limits of Vision Language Models Through the Lens of the Binding Problem. - Shaohua Liu, Junzhe Lu, Zuoya Gu, Jiajun Li, Yue Deng:
Aquatic-GS: A Hybrid 3D Representation for Underwater Scenes. - Bill Fan, Jacob Roulier, Gina Olson:
A Fast and Model Based Approach for Evaluating Task-Competence of Antagonistic Continuum Arms. - Gustavo Arengas:
Certified binary search tree on W-types. - Lorenzo Basile, Valentino Maiorca, Luca Bortolussi, Emanuele Rodolà, Francesco Locatello:
ResiDual Transformer Alignment with Spectral Decomposition. - Alan Jeffares, Alicia Curth, Mihaela van der Schaar:
Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond. - Yubin Kim, Chanwoo Park, Hyewon Jeong, Cristina Grau-Vilchez, Yik Siu Chan, Xuhai Xu, Daniel McDuff, Hyeonhoon Lee, Cynthia Breazeal, Hae Won Park:
A Demonstration of Adaptive Collaboration of Large Language Models for Medical Decision-Making. - Muhieddine Shebaro, Lucas Rusnak, Martin Burtscher, Jelena Tesic:
GraphC: Parameter-free Hierarchical Clustering of Signed Graph Networks v2. - Maxwell Meyer, Jack Spruyt:
IO Transformer: Evaluating SwinV2-Based Reward Models for Computer Vision. - Michael T. Goodrich, Ryuto Kitagawa, Vinesh Sridhar:
Dynamic Accountable Storage: An Efficient Protocol for Real-time Cloud Storage Auditing. - Grace Guo, Jenna Jiayi Kang, Raj Sanjay Shah, Hanspeter Pfister, Sashank Varma:
Understanding Graphical Perception in Data Visualization through Zero-shot Prompting of Vision-Language Models. - David Smerkous, Qinxun Bai, Fuxin Li:
Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA. - Allison Naaktgeboren, Sean Noble Anderson, Andrew Tolmach, Greg Sullivan:
Pipe-Cleaner: Flexible Fuzzing Using Security Policies. - Mehmet Emre Akbulut, Yusuf Erdem Nacar:
Content Aware Analysis of Scholarly Networks: A Case Study on CORD19 Dataset. - Grace Kim, Luca Powell, Filip Svoboda, Nicholas Lane:
Space for Improvement: Navigating the Design Space for Federated Learning in Satellite Constellations. - Sina Rismanchian, Yasaman Razeghi, Sameer Singh, Shayan Doroudi:
TurtleBench: A Visual Programming Benchmark in Turtle Geometry. - Koffi Ismael Ouattara:
Quantifying calibration error in modern neural networks through evidence based theory. - Yiwei Wu, Leah Ajmani, Shayne Longpre, Hanlin Li:
A Systematic Review of NeurIPS Dataset Management Practices. - Jianwen Gan, Yan Chen, Peng Zhou, Liang Du:
Clustering ensemble algorithm with high-order consistency learning. - Yunhui Liang, Jianwen Gan, Yan Chen, Peng Zhou, Liang Du:
Unsupervised Feature Selection Algorithm Based on Graph Filtering and Self-representation. - Diptarka Saha, Zihe Liu, Feng Liang:
Efficient Model Compression for Bayesian Neural Networks. - Kyung-hwan Lee, Kyung-tae Kim:
Adaptive Residual Transformation for Enhanced Feature-Based OOD Detection in SAR Imagery. - Joanikij Chulev:
Improving Musical Instrument Classification with Advanced Machine Learning Techniques. - Quan Zhou, Changhua Pei, Fei Sun, Jing Han, Zhengwei Gao, Dan Pei, Haiming Zhang, Gaogang Xie, Jianhui Li:
KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks. - Torin Gerhart, Justin Sunu, Ekaterina Merkurjev, Jen-Mei Chang, Jerome Gilles, Andrea L. Bertozzi:
Detection and tracking of gas plumes in LWIR hyperspectral video sequence data. - Alexandru T. Cismaru:
Improving Traffic Flow Predictions with SGCN-LSTM: A Hybrid Model for Spatial and Temporal Dependencies. - Yueqiao Jin, Roberto Martinez-Maldonado, Dragan Gasevic, Lixiang Yan:
GLAT: The Generative AI Literacy Assessment Test. - Ruisi Zhang, Tianyu Liu, Will Feng, Andrew Gu, Sanket Purandare, Wanchao Liang, Francisco Massa:
SimpleFSDP: Simpler Fully Sharded Data Parallel with torch.compile. - Ashkan Golgoon, Ryan Franks, Khashayar Filom, Arjun Ravi Kannan:
MBExplainer: Multilevel bandit-based explanations for downstream models with augmented graph embeddings. - David A. Danhofer:
Inducing Semi-Structured Sparsity by Masking for Efficient Model Inference in Convolutional Networks. - Kazi Ahmed Asif Fuad, Lizhong Chen:
LLM-Ref: Enhancing Reference Handling in Technical Writing with Large Language Models. - Megan C. Coram, Allison M. Okamura, Cosima du Pasquier:
Fabrication and Performance of Textile Pneumatic Actuators. - Serena Zhang, Sraavya Sambara, Oishi Banerjee, Julian Acosta, L. John Fahrner, Pranav Rajpurkar:
RadFlag: A Black-Box Hallucination Detection Method for Medical Vision Language Models. - Jiwoong Sohn, Yein Park, Chanwoong Yoon, Sihyeon Park, Hyeon Hwang, Mujeen Sung, Hyunjae Kim, Jaewoo Kang:
Rationale-Guided Retrieval Augmented Generation for Medical Question Answering. - Wei Chow, Juncheng Li, Qifan Yu, Kaihang Pan, Hao Fei, Zhiqi Ge, Shuai Yang, Siliang Tang, Hanwang Zhang, Qianru Sun:
Unified Generative and Discriminative Training for Multi-modal Large Language Models. - Daijin Yang, Erica Kleinman, Casper Harteveld:
GPT for Games: An Updated Scoping Review (2020-2024). - Yeachan Kim, Junho Kim, Wing-Lam Mok, Jun-Hyung Park, SangKeun Lee:
C2A: Client-Customized Adaptation for Parameter-Efficient Federated Learning. - Hiroshi Okajima, Yusuke Fujimoto, Hiroshi Oku, Haruto Kondo:
Cyclic Reformulation Based System Identification for Periodically Time-varying Systems. - Shuying Gan, Xijun Wang, Chao Xu, Xiang Chen:
Task-oriented Age of Information for Remote Monitoring Systems. - Satvik Dixit, Soham Deshmukh, Bhiksha Raj:
MACE: Leveraging Audio for Evaluating Audio Captioning Systems. - Dogyun Park, Sojin Lee, Sihyeon Kim, Taehoon Lee, Youngjoon Hong, Hyunwoo J. Kim:
Constant Acceleration Flow. - Sajad Sotudeh, Nazli Goharian:
Learning to Rank Salient Content for Query-focused Summarization. - Connor J. Mclaughlin, Lili Su:
Personalized Federated Learning via Feature Distribution Adaptation. - Shengxun Wei, Zan Gao, Yibo Zhao, Weili Guan:
Multiple Information Prompt Learning for Cloth-Changing Person Re-Identification. - Chumeng Jiang, Jiayin Wang, Weizhi Ma, Charles L. A. Clarke, Shuai Wang, Chuhan Wu, Min Zhang:
Beyond Utility: Evaluating LLM as Recommender. - Xintao Jiang, Yaosen Chen, Siqin Zhang, Wei Wang, Xuming Wen:
NCST: Neural-based Color Style Transfer for Video Retouching. - Karine Karine, Benjamin M. Marlin:
StepCountJITAI: simulation environment for RL with application to physical activity adaptive intervention. - Kedi Zheng, Hanwei Xu, Zeyang Long, Yi Wang, Qixin Chen:
Coherent Hierarchical Probabilistic Forecasting of Electric Vehicle Charging Demand. - Xiaotian Li, Baojie Fan, Jiandong Tian, Huijie Fan:
GAFusion: Adaptive Fusing LiDAR and Camera with Multiple Guidance for 3D Object Detection. - Meng Sun, Lin Li, Ming Li, Xiaohui Tao, Dong Zhang, Peipei Wang, Jimmy Xiangji Huang:
A Survey on Bundle Recommendation: Methods, Applications, and Challenges. - Wenhao Wang, Deli Qiao, Lei Yang, Yueying Zhan, Derrick Wing Kwan Ng:
Energy Efficiency Analysis of IRS-aided Wireless Communication Systems Under Statistical QoS Constraints: An Information-Theoretic Perspective. - Weicheng Ma, Luyang Zhao, Chun-Yi She, Yitao Jiang, Alan Sun, Bo Zhu, Devin Balkcom, Soroush Vosoughi:
On the Exploration of LM-Based Soft Modular Robot Design. - Luyang Zhao, Yitao Jiang, Chun-Yi She, Mingi Jeong, Haibo Dong, Alberto Quattrini Li, Muhao Chen, Devin Balkcom:
An Untethered Bioinspired Robotic Tensegrity Dolphin with Multi-Flexibility Design for Aquatic Locomotion. - Kuo-Han Hung, Ching-Yun Ko, Ambrish Rawat, I-Hsin Chung, Winston H. Hsu, Pin-Yu Chen:
Attention Tracker: Detecting Prompt Injection Attacks in LLMs. - Dinitha Wijewardhana, Sugandima Vidanagamachchi, Nalin Arachchilage:
Examining Attacks on Consensus and Incentive Systems in Proof-of-Work Blockchains: A Systematic Literature Review. - Zhongyue Zhang, Lina Xu, Xingkai Wang, Xu Zhang, Mingming Fan:
Understanding and Co-designing Photo-based Reminiscence with Older Adults. - Muhammad Muzammil, Zhengyu Wu, Lalith Harisha, Brian Kondracki, Nick Nikiforakis:
Typosquatting 3.0: Characterizing Squatting in Blockchain Naming Systems. - Mengcheng Li, Mingbao Lin, Fei Chao, Chia-Wen Lin, Rongrong Ji:
TextDestroyer: A Training- and Annotation-Free Diffusion Method for Destroying Anomal Text from Images. - Daichi Tajima, Yoshihiro Kanamori, Yuki Endo:
All-frequency Full-body Human Image Relighting. - Mathew Mithra Noel, Akshay Chawla:
An Improved Rapidly Exploring Random Tree Algorithm for Path Planning in Configuration Spaces with Narrow Channels. - Vivek Jayaram, Ira Kemelmacher-Shlizerman, Steven M. Seitz, John Thickstun:
Constrained Diffusion Implicit Models. - Yeonsung Jung, Jaeyun Song, June Yong Yang, Jin-Hwa Kim, Sung-Yub Kim, Eunho Yang:
A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective. - Utsav Singh, Souradip Chakraborty, Wesley A. Suttle, Brian M. Sadler, Anit Kumar Sahu, Mubarak Shah, Vinay P. Namboodiri, Amrit Singh Bedi:
Hierarchical Preference Optimization: Learning to achieve goals via feasible subgoals prediction. - Tao Yu, Xingye Yue, Changjuan Zhang:
Heterogeneous Multiscale Method for elliptic problem without scale separation. - Tao Yu, Xingye Yue:
Localized Orthogonal Decomposition Method with H1 Interpolation for Multiscale Elliptic Problem. - Lina Wang, Yunsheng Yuan, Feng Li, Lingjie Duan:
ROSS:RObust decentralized Stochastic learning based on Shapley values. - Md Kamrul Hasan Chy, Obed Nana Buadi:
A Machine Learning Driven Website Platform and Browser Extension for Real-time Scoring and Fraud Detection for Website Legitimacy Verification and Consumer Protection. - Anish Pahilajani, Devasha Trivedi, Jincen Shuai, Khin S. Yone, Samyak Rajesh Jain, Namyong Park, Ryan A. Rossi, Nesreen K. Ahmed, Franck Dernoncourt, Yu Wang:
GRS-QA - Graph Reasoning-Structured Question Answering Dataset. - Lijia Yu, Xiao-Shan Gao, Lijun Zhang, Yibo Miao:
Generalizability of Memorization Neural Networks. - Xusheng Zhu, Qingqing Wu, Wen Chen, Xinyuan He, Lexi Xu, Yaxin Zhang:
Discrete RIS Enhanced Space Shift Keying MIMO System via Reflecting Beamforming Optimization. - He Sun, Lipeng Zhu, Weidong Mei, Rui Zhang:
RSRP Measurement Based Channel Autocorrelation Estimation for IRS-Aided Wideband Communication. - Ashwin Balasubramanian, Vito Zou, Hitesh Narayana, Christina You, Luca Luceri, Emilio Ferrara:
A Public Dataset Tracking Social Media Discourse about the 2024 U.S. Presidential Election on Twitter/X. - Haifeng Sun, Lan Zhang, Xiang-Yang Li:
DeepCore: Simple Fingerprint Construction for Differentiating Homologous and Piracy Models. - Shota Yamanaka, Hiroki Usuba, Junichi Sato, Naomi Sasaya, Fumiya Yamashita, Shuji Yamaguchi:
Tappy Plugin for Figma: Predicting Tap Success Rates of User-Interface Elements under Development for Smartphones. - Shengchao Hu, Li Shen, Ya Zhang, Dacheng Tao:
Communication Learning in Multi-Agent Systems from Graph Modeling Perspective. - Junlin He, Jinxiao Du, Susu Xu, Wei Ma:
Preventing Model Collapse in Deep Canonical Correlation Analysis by Noise Regularization. - Telikepalli Kavitha, Kazuhisa Makino:
Perfect Matchings and Popularity in the Many-to-Many Setting. - Jiaru Zou, Qing Wang, Pratyush Thakur, Nickvash Kani:
STEM-POM: Evaluating Language Models Math-Symbol Reasoning in Document Parsing. - Xi Zheng, Xiangyu Chang, Ruoxi Jia, Yong Tan:
Towards Data Valuation via Asymmetric Data Shapley. - David Anugraha, Garry Kuwanto, Lucky Susanto, Derry Tanti Wijaya, Genta Indra Winata:
MetaMetrics-MT: Tuning Meta-Metrics for Machine Translation via Human Preference Calibration. - Junlin He, Jinxiao Du, Wei Ma:
Preventing Dimensional Collapse in Self-Supervised Learning via Orthogonality Regularization. - Heiko Hoffmann:
Advantages of Neural Population Coding for Deep Learning. - Li Liu, Diji Yang, Sijia Zhong, Kalyana Suma Sree Tholeti, Lei Ding, Yi Zhang, Leilani H. Gilpin:
Right this way: Can VLMs Guide Us to See More to Answer Questions? - Shuai Xiao, Zaifan Jiang:
DivNet: Diversity-Aware Self-Correcting Sequential Recommendation Networks. - Xiaoying Liu, Anping Chen, Kechen Zheng, Kaikai Chi, Bin Yang, Tarik Taleb:
Distributed Computation Offloading for Energy Provision Minimization in WP-MEC Networks with Multiple HAPs. - Chaoqian Wang, Qi Su:
Spatial public goods games on any population structure. - Zhiyu Xie, Yuqing Zhang, Xiangjun Tang, Yiqian Wu, Dehan Chen, Gongsheng Li, Xaogang Jin:
StyleTex: Style Image-Guided Texture Generation for 3D Models. - Muhammad Fadhil Ginting, Kyohei Otsu, Mykel J. Kochenderfer, Ali-akbar Agha-mohammadi:
Capability-aware Task Allocation and Team Formation Analysis for Cooperative Exploration of Complex Environments. - Zhi Zhang, Chris Chow, Yasi Zhang, Yanchao Sun, Haochen Zhang, Eric Hanchen Jiang, Han Liu, Furong Huang, Yuchen Cui, Oscar Hernan Madrid Padilla:
Statistical Guarantees for Lifelong Reinforcement Learning using PAC-Bayesian Theory. - Yinxuan Huang, Chengmin Gao, Bin Li, Xiangyang Xue:
Improving Viewpoint-Independent Object-Centric Representations through Active Viewpoint Selection. - Arjun Ramesh Kaushik, Charanjit Jutla, Nalini Ratha:
Towards Building Secure UAV Navigation with FHE-aware Knowledge Distillation. - JuneYoung Park, MinJae Kang:
Fast Adaptation with Kernel and Gradient based Meta Leaning. - Quy-Anh Dang, Chris Ngo:
MoD: A Distribution-Based Approach for Merging Large Language Models. - Dong Wen, Zhongpei Liu, Tong Yang, Tao Li, Tianyun Li, Chenglong Li, Jie Li, Zhigang Sun:
Inference-to-complete: A High-performance and Programmable Data-plane Co-processor for Neural-network-driven Traffic Analysis. - Yusuke Kuwana, Yuta Goto, Takashi Shibata, Go Irie:
Black-Box Forgetting. - Arjun Ramesh Kaushik, Sunil Rufus R. P, Nalini Ratha:
Enhancing Authorship Attribution through Embedding Fusion: A Novel Approach with Masked and Encoder-Decoder Language Models. - Bohan Lyu, Yadi Cao, Duncan Watson-Parris, Leon Bergen, Taylor Berg-Kirkpatrick, Rose Yu:
Adapting While Learning: Grounding LLMs for Scientific Problems with Intelligent Tool Usage Adaptation. - Shiyao Zhang, He Li, Shengyu Zhang, Shuai Wang, Derrick Wing Kwan Ng, Chengzhong Xu:
Multi-Uncertainty Aware Autonomous Cooperative Planning. - John Edwards, Arto Hellas, Juho Leinonen:
On the Opportunities of Large Language Models for Programming Process Data. - Francisco M. F. R. Gonçalves, Ryan M. Bena, Néstor O. Pérez-Arancibia:
Closed-Loop Stability of a Lyapunov-Based Switching Attitude Controller for Energy-Efficient Torque-Input-Selection During Flight. - Chenghua Huang, Zhizhen Fan, Lu Wang, Fangkai Yang, Pu Zhao, Zeqi Lin, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Qi Zhang:
Self-Evolved Reward Learning for LLMs. - Di Duan, Shengzhe Lyu, Mu Yuan, Hongfei Xue, Tianxing Li, Weitao Xu, Kaishun Wu, Guoliang Xing:
Argus: Multi-View Egocentric Human Mesh Reconstruction Based on Stripped-Down Wearable mmWave Add-on. - Yinfeng Cao, Jiannong Cao, Dongbin Bai, Long Wen, Yang Liu, Ruidong Li:
MAP the Blockchain World: A Trustless and Scalable Blockchain Interoperability Protocol for Cross-chain Applications. - Naufal Suryanto, Andro Aprila Adiputra, Ahmada Yusril Kadiptya, Thi-Thu-Huong Le, Derry Pratama, Yongsu Kim, Howon Kim:
Cityscape-Adverse: Benchmarking Robustness of Semantic Segmentation with Realistic Scene Modifications via Diffusion-Based Image Editing. - Jaewook Lee, Xinyang Sun, Ethan Errington, Miao Guo:
A KAN-based Interpretable Framework for Process-Informed Prediction of Global Warming Potential. - Aman Gupta, Anirudh Ravichandran, Ziji Zhang, Swair Shah, Anurag Beniwal, Narayanan Sadagopan:
DARD: A Multi-Agent Approach for Task-Oriented Dialog Systems. - Xuchen Xie, Yiqiao Qiu, Run Lin, Weishi Zheng, Ruixuan Wang:
Class Incremental Learning with Task-Specific Batch Normalization and Out-of-Distribution Detection. - Wout Gerdes, Erman Acar:
Integrating Fuzzy Logic into Deep Symbolic Regression. - Donghyun Kim, Hyeonkyeong Kwon, Yumin Kim, Seong Jae Hwang:
PLATYPUS: Progressive Local Surface Estimator for Arbitrary-Scale Point Cloud Upsampling. - Yun Jiang, Zilong Xie, Wei Zhang, Yun Fang, Shuai Pan:
E2E-AFG: An End-to-End Model with Adaptive Filtering for Retrieval-Augmented Generation. - Rick Wertenbroek, Alberto Dassatti:
Pandora's Box in Your SSD: The Untold Dangers of NVMe. - Zhirui Sun, Bingyi Xia, Peijia Xie, Xiaoxiao Li, Jiankun Wang:
NAMR-RRT: Neural Adaptive Motion Planning for Mobile Robots in Dynamic Environments. - Peichen Xie, Yanjie Gao, Jilong Xue:
FPRev: Revealing the Order of Floating-Point Summation by Numerical Testing. - Yu-Zhe Shi, Fanxu Meng, Haofei Hou, Zhangqian Bi, Qiao Xu, Lecheng Ruan, Qining Wang:
Expert-level protocol translation for self-driving labs. - Jukka Ruohonen:
An Empirical Study of Vulnerability Handling Times in CPython. - Jianhua Sun, Yuxuan Li, Longfei Xu, Nange Wang, Jiude Wei, Yining Zhang, Cewu Lu:
ConceptFactory: Facilitate 3D Object Knowledge Annotation with Object Conceptualization. - Subhadip Nandi, Neeraj Agrawal:
Improving Few-Shot Cross-Domain Named Entity Recognition by Instruction Tuning a Word-Embedding based Retrieval Augmented Large Language Model. - Ruihuai Liang, Bo Yang, Pengyu Chen, Xianjin Li, Yifan Xue, Zhiwen Yu, Xuelin Cao, Yan Zhang, Mérouane Debbah, H. Vincent Poor, Chau Yuen:
Diffusion Models as Network Optimizers: Explorations and Analysis. - Yulin Chen, Haoran Li, Zihao Zheng, Yangqiu Song, Dekai Wu, Bryan Hooi:
Defense Against Prompt Injection Attack by Leveraging Attack Techniques. - Meng Wang, Yuchen Liu, Gangmin Li, Terry R. Payne, Yong Yue, Ka Lok Man:
Unlocking Your Sales Insights: Advanced XGBoost Forecasting Models for Amazon Products. - Zixuan He, Ziqian Kong, Zhengyu Chen, Yuling Zhan, Zijun Que, Zhengguo Xu:
A Multi-Granularity Supervised Contrastive Framework for Remaining Useful Life Prediction of Aero-engines. - Jie Wang, Tingfa Xu, Lihe Ding, Jianan Li:
Target-Guided Adversarial Point Cloud Transformer Towards Recognition Against Real-world Corruptions. - Shiwei Sun, Giovanni S. Alberti:
The learned range test method for the inverse inclusion problem. - Xiao-Hang Jiang, Yang Ai, Rui-Chen Zheng, Hui-Peng Du, Ye-Xin Lu, Zhen-Hua Ling:
MDCTCodec: A Lightweight MDCT-based Neural Audio Codec towards High Sampling Rate and Low Bitrate Scenarios. - Rui Yang, Jie Wang, Guoping Wu, Bin Li:
Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions. - Anuradha Chopra, Abhinaba Roy, Dorien Herremans:
MIRFLEX: Music Information Retrieval Feature Library for Extraction. - Lianjun Liu:
MV-Adapter: Enhancing Underwater Instance Segmentation via Adaptive Channel Attention. - Yuchen Song, Yao Zhang, Anni Zhou, Yan Shi, Shikui Shen, Xiongyan Tang, Jin Li, Min Zhang, Danshi Wang:
Synergistic Interplay of Large Language Model and Digital Twin for Autonomous Optical Networks: Field Demonstrations. - Jun Cui:
Computer Application Research based on Chinese Human Resources and Network Information Security Technology Management and Analysis In Chinese Universities. - Ren Xin, Jie Cheng, Jun Ma:
PlanScope: Learning to Plan Within Decision Scope Does Matter. - Bubacarr Jobarteh, Madalina Mincu, Gavojdian Dinu, Suresh Neethirajan:
Multi Modal Information Fusion of Acoustic and Linguistic Data for Decoding Dairy Cow Vocalizations in Animal Welfare Assessment. - Mitch Arkeen Salvador, Khavee Agustus Botangen, Mary Camille Rabang, Ivan Christian Salinas, Marlon Naagas, Angelika Balagot:
Development of a Web-based Research Consortium Database Management System: Advancing Data-driven and Knowledge-based Project Management. - Yuchen Zheng, Yuxin Jing, Jufeng Zhao, Guangmang Cui:
LAM-YOLO: Drones-based Small Object Detection on Lighting-Occlusion Attention Mechanism YOLO. - Qasim Khan, Anthony Suen:
Comparative Analysis of Polynomials with Their Computational Costs. - Zihong He, Weizhe Lin, Hao Zheng, Fan Zhang, Matt Jones, Laurence Aitchison, Xuhai Xu, Miao Liu, Per Ola Kristensson, Junxiao Shen:
Human-inspired Perspectives: A Survey on AI Long-term Memory. - Yang Janet Liu, Tatsuya Aoyama, Wesley Scivetti, Yilun Zhu, Shabnam Behzad, Lauren Elizabeth Levine, Jessica Lin, Devika Tiwari, Amir Zeldes:
GDTB: Genre Diverse Data for English Shallow Discourse Parsing across Modalities, Text Types, and Domains.
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