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ORCIDEMNLP 2024: Miami, FL, USA
- Franck Dernoncourt, Daniel Preotiuc-Pietro, Anastasia Shimorina:
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024 - Industry Track, Miami, Florida, USA, November 12-16, 2024. Association for Computational Linguistics 2024, ISBN 979-8-89176-166-7 - Frontmatter.
- Jiangning Chen, Ziyun Zhang, Qianli Hu:
Optimizing Entity Resolution in Voice Interfaces: An ASR-Aware Entity Reference Expansion Approach. 1-7 - Ilana Zimmerman, Jadin Tredup, Ethan Selfridge, Joseph Bradley:
Two-tiered Encoder-based Hallucination Detection for Retrieval-Augmented Generation in the Wild. 8-22 - Weimin Xiong, Yiwen Guo, Hao Chen:
The Program Testing Ability of Large Language Models for Code. 23-34 - Lei Xu, Mohammed Asad Karim, Saket Dingliwal, Aparna Elangovan:
Salient Information Prompting to Steer Content in Prompt-based Abstractive Summarization. 35-49 - Benjamin L. Bullough, Harrison Lundberg, Chen Hu, Weihang Xiao:
Predicting Entity Salience in Extremely Short Documents. 50-64 - Shu-Ting Pi, Pradeep Bagavan, Yejia Li, Disha Disha, Qun Liu:
Don't Shoot The Breeze: Topic Continuity Model Using Nonlinear Naive Bayes With Attention. 65-72 - Xuan Guo, Rohit Patki, Dante Everaert, Christopher Potts:
Retrieval Augmented Spelling Correction for E-Commerce Applications. 73-79 - 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. 80-97 - Bishwaranjan Bhattacharjee, Aashka Trivedi, Masayasu Muraoka, Muthukumaran Ramasubramanian, Takuma Udagawa, Iksha Gurung, Nishan Pantha, Rong Zhang, Bharath Dandala, Rahul Ramachandran, Manil Maskey, Kaylin M. Bugbee, Michael Little, Elizabeth Fancher, Irina Gerasimov, Armin Mehrabian, Lauren M. Sanders, Sylvain Costes, Sergi Blanco-Cuaresma, Kelly E. Lockhart, Thomas Allen, Félix Grèzes, Megan Ansdell, Alberto Accomazzi, Yousef El-Kurdi, Davis Wertheimer, Birgit Pfitzmann, Cesar Berrospi Ramis, Michele Dolfi, Rafael Teixeira de Lima, Panagiotis Vagenas, S. Karthik Mukkavilli, Peter W. J. Staar, Sanaz Vahidinia, Ryan McGranaghan, Tsengdar J. Lee:
INDUS: Effective and Efficient Language Models for Scientific Applications. 98-112 - Wenjing Ke, Zhe Li, Dong Li, Lu Tian, Emad Barsoum:
DL-QAT: Weight-Decomposed Low-Rank Quantization-Aware Training for Large Language Models. 113-119 - Menglin Xia, Xuchao Zhang, Camille Couturier, Guoqing Zheng, Saravan Rajmohan, Victor Rühle:
Hybrid-RACA: Hybrid Retrieval-Augmented Composition Assistance for Real-time Text Prediction. 120-131 - Ruihao Gong, Yang Yong, Shiqiao Gu, Yushi Huang, Chengtao Lv, Yunchen Zhang, Dacheng Tao, Xianglong Liu:
LLMC: Benchmarking Large Language Model Quantization with a Versatile Compression Toolkit. 132-152 - Jon Saad-Falcon, Joe Barrow, Alexa F. Siu, Ani Nenkova, Seunghyun Yoon, Ryan A. Rossi, Franck Dernoncourt:
PDFTriage: Question Answering over Long, Structured Documents. 153-169 - Hoin Jung, Xiaoqian Wang:
Fairness-Aware Online Positive-Unlabeled Learning. 170-185 - Hyeonwoo Kim, Gyoungjin Gim, Yungi Kim, Jihoo Kim, Byungju Kim, Wonseok Lee, Chanjun Park:
SAAS: Solving Ability Amplification Strategy for Enhanced Mathematical Reasoning in Large Language Models. 186-198 - Olivia Sturman, Aparna Joshi, Bhaktipriya Radharapu, Piyush Kumar, Renee Shelby:
Debiasing Text Safety Classifiers through a Fairness-Aware Ensemble. 199-214 - Hadeel Saadany, Swapnil Bhosale, Samarth Agrawal, Diptesh Kanojia, Constantin Orasan, Zhe Wu:
Centrality-aware Product Retrieval and Ranking. 215-224 - Lei Shu, Nevan Wichers, Liangchen Luo, Yun Zhu, Yinxiao Liu, Jindong Chen, Lei Meng:
Fusion-Eval: Integrating Assistant Evaluators with LLMs. 225-238 - Yixiao Wang, Homa Fashandi, Kevin Ferreira:
Investigating the Personality Consistency in Quantized Role-Playing Dialogue Agents. 239-255 - Takuma Udagawa, Masayuki Suzuki, Masayasu Muraoka, Gakuto Kurata:
Robust ASR Error Correction with Conservative Data Filtering. 256-266 - Jiabo Huang, Jianyu Zhao, Yuyang Rong, Yiwen Guo, Yifeng He, Hao Chen:
Code Representation Pre-training with Complements from Program Executions. 267-278 - Yuhang Yao, Han Jin, Alay Dilipbhai Shah, Shanshan Han, Zijian Hu, Dimitris Stripelis, Yide Ran, Zhaozhuo Xu, Salman Avestimehr, Chaoyang He:
ScaleLLM: A Resource-Frugal LLM Serving Framework by Optimizing End-to-End Efficiency. 279-289 - Somnath Banerjee, Amruit Sahoo, Sayan Layek, Avik Dutta, Rima Hazra, Animesh Mukherjee:
Context Matters: Pushing the Boundaries of Open-Ended Answer Generation with Graph-Structured Knowledge Context. 290-302 - Zhi-Qi Cheng, Yifei Dong, Aike Shi, Wei Liu, Yuzhi Hu, Jason O'Connor, Alexander G. Hauptmann, Kate Whitefoot:
SHIELD: LLM-Driven Schema Induction for Predictive Analytics in EV Battery Supply Chain Disruptions. 303-333 - Wendi Cui, Zhuohang Li, Damien Lopez, Kamalika Das, Bradley A. Malin, Kumar Sricharan, Jiaxin Zhang:
Divide-Conquer-Reasoning for Consistency Evaluation and Automatic Improvement of Large Language Models. 334-361 - Peter Anderson, Mano Vikash Janardhanan, Jason He, Wei Cheng, Charlie Flanagan:
Greenback Bears and Fiscal Hawks: Finance is a Jungle and Text Embeddings Must Adapt. 362-370 - Yilun Kong, Jingqing Ruan, Yihong Chen, Bin Zhang, Tianpeng Bao, Shiwei Shi, Du Qing, Xiaoru Hu, Hangyu Mao, Ziyue Li, Xingyu Zeng, Rui Zhao, Xueqian Wang:
TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Industry Systems. 371-385 - Satoshi Akasaki, Manabu Sassano:
Detecting Ambiguous Utterances in an Intelligent Assistant. 386-394 - Bhavuk Singhal, Anshu Aditya, Lokesh Todwal, Shubham Jain, Debashis Mukherjee:
GeoIndia: A Seq2Seq Geocoding Approach for Indian Addresses. 395-407 - Jun-Hyung Park, Hyuntae Park, Yeachan Kim, Woosang Lim, SangKeun Lee:
Moleco: Molecular Contrastive Learning with Chemical Language Models for Molecular Property Prediction. 408-420 - Yeachan Kim, Jun-Hyung Park, SungHo Kim, Juhyeong Park, Sangyun Kim, SangKeun Lee:
SEED: Semantic Knowledge Transfer for Language Model Adaptation to Materials Science. 421-428 - Adil Nygaard, Ashish Upadhyay, Lauren Hinkle, Xenia Skotti, Joe Halliwell, Ian Brown, Glen Noronha:
News Risk Alerting System (NRAS): A Data-Driven LLM Approach to Proactive Credit Risk Monitoring. 429-439 - Yichen Lu, Jiaqi Song, Chao-Han Huck Yang, Shinji Watanabe:
FastAdaSP: Multitask-Adapted Efficient Inference for Large Speech Language Model. 440-451 - Dimitris Stripelis, Zhaozhuo Xu, Zijian Hu, Alay Dilipbhai Shah, Han Jin, Yuhang Yao, Jipeng Zhang, Tong Zhang, Salman Avestimehr, Chaoyang He:
TensorOpera Router: A Multi-Model Router for Efficient LLM Inference. 452-462 - Rajashekar Vasantha, Nhan Nguyen, Yue Zhang:
Prompt-Tuned Muti-Task Taxonomic Transformer (PTMTTaxoFormer). 463-476 - Charles Goddard, Shamane Siriwardhana, Malikeh Ehghaghi, Luke Meyers, Vladimir Karpukhin, Brian Benedict, Mark McQuade, Jacob Solawetz:
Arcee's MergeKit: A Toolkit for Merging Large Language Models. 477-485 - Harmanpreet Singh, Nikhil Verma, Yixiao Wang, Manasa Bharadwaj, Homa Fashandi, Kevin Ferreira, Chul Lee:
Personal Large Language Model Agents: A Case Study on Tailored Travel Planning. 486-514 - Aaron Xuxiang Tian, Yi Zhao, Congrui Yin, Wei Zhu, Xing Tian, Yi Ge:
FanLoRA: Fantastic LoRAs and Where to Find Them in Large Language Model Fine-tuning. 515-528 - Lucas Cecchi, Petr Babkin:
ReportGPT: Human-in-the-loop Verifiable Table-to-Text Generation. 529-537 - Runhui Wang, Yefan Tao, Adit Krishnan, Luyang Kong, Xuanqing Liu, Yuqian Deng, Yunzhao Yang, Henrik Johnson, Andrew Borthwick, Shobhit Gupta, Aditi Gundlapalli, Davor Golac:
BPID: A Benchmark for Personal Identity Deduplication. 538-546 - Donghoon Han, Eunhwan Park, Gisang Lee, Adam Lee, Nojun Kwak:
MERLIN: Multimodal Embedding Refinement via LLM-based Iterative Navigation for Text-Video Retrieval-Rerank Pipeline. 547-562 - Zhiyu Chen, Jason Ingyu Choi, Besnik Fetahu, Shervin Malmasi:
Identifying High Consideration E-Commerce Search Queries. 563-572 - Biyang Guo, He Wang, Wenyilin Xiao, Hong Chen, Zhuxin Lee, Songqiao Han, Hailiang Huang:
Sample Design Engineering: An Empirical Study on Designing Better Fine-Tuning Samples for Information Extraction with LLMs. 573-594 - Amrita Singh, Chirag Jain, Mohit Chaudhary, Preethu Anish:
Refining App Reviews: Dataset, Methodology, and Evaluation. 595-608 - Sunwoo Lee, Dhammiko Arya, Seung-Mo Cho, Gyoung-eun Han, Seokyoung Hong, Wonbeom Jang, Seojin Lee, Sohee Park, Sereimony Sek, Injee Song, Sungbin Yoon, Eric Davis:
TelBench: A Benchmark for Evaluating Telco-Specific Large Language Models. 609-626 - Nayoung Choi, Youngjune Lee, Gyu-Hwung Cho, Haeyu Jeong, Jungmin Kong, Saehun Kim, Keunchan Park, Sarah Cho, Inchang Jeong, Gyohee Nam, Sunghoon Han, Wonil Yang, Jaeho Choi:
RRADistill: Distilling LLMs' Passage Ranking Ability for Long-Tail Queries Document Re-Ranking on a Search Engine. 627-641 - Yunseung Lee, Daehee Han:
KorSmishing Explainer: A Korean-centric LLM-based Framework for Smishing Detection and Explanation Generation. 642-656 - Anab Maulana Barik, Wynne Hsu, Mong-Li Lee:
Time Matters: An End-to-End Solution for Temporal Claim Verification. 657-664 - Mirae Kim, Kyubum Hwang, Hayoung Oh, Min Kim, Chaerim Park, Yehwi Park, Chungyeon Lee:
MILD Bot: Multidisciplinary Childhood Cancer Survivor Question-Answering Bot. 665-676 - Zhirui Kuai, Zuxu Chen, Huimu Wang, Mingming Li, Dadong Miao, Binbin Wang, Xusong Chen, Li Kuang, Yuxing Han, Jiaxing Wang, Guoyu Tang, Lin Liu, Songlin Wang, Jingwei Zhuo:
Breaking the Hourglass Phenomenon of Residual Quantization: Enhancing the Upper Bound of Generative Retrieval. 677-685 - Subhadip Nandi, Neeraj Agrawal:
Improving Few-Shot Cross-Domain Named Entity Recognition by Instruction Tuning a Word-Embedding based Retrieval Augmented Large Language Model. 686-696 - Kang Chen, Qing Zhang, Chengbao Lian, Yixin Ji, Xuwei Liu, Shuguang Han, Guoqiang Wu, Fei Huang, Jufeng Chen:
IPL: Leveraging Multimodal Large Language Models for Intelligent Product Listing. 697-711 - Hossein Rajabzadeh, Mojtaba Valipour, Tianshu Zhu, Marzieh S. Tahaei, Hyock Ju Kwon, Ali Ghodsi, Boxing Chen, Mehdi Rezagholizadeh:
QDyLoRA: Quantized Dynamic Low-Rank Adaptation for Efficient Large Language Model Tuning. 712-718 - Anup Pattnaik, Cijo George, Rishabh Kumar Tripathi, Sasanka Vutla, Jithendra Vepa:
Improving Hierarchical Text Clustering with LLM-guided Multi-view Cluster Representation. 719-727 - Zequan Liu, Yi Zhao, Ming Tan, Wei Zhu, Aaron Xuxiang Tian:
PARA: Parameter-Efficient Fine-tuning with Prompt-Aware Representation Adjustment. 728-737 - Tianyang Zhang, Zhuoxuan Jiang, Shengguang Bai, Tianrui Zhang, Lin Lin, Yang Liu, Jiawei Ren:
RAG4ITOps: A Supervised Fine-Tunable and Comprehensive RAG Framework for IT Operations and Maintenance. 738-754 - Shaojie Shi, Xiaoyu Tan, Xihe Qiu, Chao Qu, Kexin Nie, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi:
ULMR: Unlearning Large Language Models via Negative Response and Model Parameter Average. 755-762 - Saket Maheshwary, Arpan Paul, Saurabh Sohoney:
Pretraining and Finetuning Language Models on Geospatial Networks for Accurate Address Matching. 763-773 - Yuanhao Shen, Xiaodan Zhu, Lei Chen:
SMARTCAL: An Approach to Self-Aware Tool-Use Evaluation and Calibration. 774-789 - Digvijay Ingle, Aashraya Sachdeva, Surya Prakash Sahu, Mayank Sati, Cijo George, Jithendra Vepa:
Probing the Depths of Language Models' Contact-Center Knowledge for Quality Assurance. 790-804 - Seongtae Hong, Joong Shin, Jaehyung Seo, Taemin Lee, Jeongbae Park, Cho Young, Byeongho Choi, Heuiseok Lim:
Intelligent Predictive Maintenance RAG framework for Power Plants: Enhancing QA with StyleDFS and Domain Specific Instruction Tuning. 805-820 - Amir Tavanaei, Kee Kiat Koo, Hayreddin Çeker, Shaobai Jiang, Qi Li, Julien Han, Karim Bouyarmane:
Structured Object Language Modeling (SO-LM): Native Structured Objects Generation Conforming to Complex Schemas with Self-Supervised Denoising. 821-828 - Nadjet Bouayad-Agha, Ignasi Gómez-Sebastià, Alba Padró-Arocas, Enric Roura, David Castelló, Rocío Tovar:
Assisting Breastfeeding and Maternity Experts in Responding to User Queries with an AI-in-the-loop Approach. 829-841 - Hugh McMahan, Zheng Xu, Yanxiang Zhang:
A Hassle-free Algorithm for Strong Differential Privacy in Federated Learning Systems. 842-865 - Vadim Lomshakov, Andrey Podivilov, Sergey Savin, Oleg Baryshnikov, Alena Lisevych, Sergey I. Nikolenko:
ProConSuL: Project Context for Code Summarization with LLMs. 866-880 - Zhuowan Li, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky:
Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach. 881-893 - Sandeep Sricharan Mukku, Abinesh Kanagarajan, Chetan Aggarwal, Promod Yenigalla:
MARS: Multilingual Aspect-centric Review Summarisation. 894-909 - Tianyi Zhang, Atta Norouzian, Aanchan Mohan, Frederick Ducatelle:
A new approach for fine-tuning sentence transformers for intent classification and out-of-scope detection tasks. 910-919 - Frederic Kirstein, Terry Ruas, Robert Kratel, Bela Gipp:
Tell me what I need to know: Exploring LLM-based (Personalized) Abstractive Multi-Source Meeting Summarization. 920-939 - Chenhao Niu, Kevin P. Yancey, Ruidong Liu, Mirza Basim Baig, André Horie, James Sharpnack:
Detecting LLM-Assisted Cheating on Open-Ended Writing Tasks on Language Proficiency Tests. 940-953 - Omkar Dige, Diljot Arneja, Tsz Fung Yau, Qixuan Zhang, Mohammad Bolandraftar, Xiaodan Zhu, Faiza Khan Khattak:
Can Machine Unlearning Reduce Social Bias in Language Models? 954-969 - Kellen Cheng, Anna Lisa Gentile, Pengyuan Li, Chad DeLuca, Guang-Jie Ren:
Don't be my Doctor! Recognizing Healthcare Advice in Large Language Models. 970-980 - Vera Pavlova, Mohammed Makhlouf:
Building an Efficient Multilingual Non-Profit IR System for the Islamic Domain Leveraging Multiprocessing Design in Rust. 981-990 - Robin Chan, Katsiaryna Mirylenka, Thomas Gschwind, Christoph Miksovic, Paolo Scotton, Enrico Toniato, Abdel Labbi:
Adapting LLMs for Structured Natural Language API Integration. 991-1000 - Linyong Nan, Weining Fang, Aylin Rasteh, Pouya Lahabi, Weijin Zou, Yilun Zhao, Arman Cohan:
OMG-QA: Building Open-Domain Multi-Modal Generative Question Answering Systems. 1001-1015 - Ankita Sinha, Wendi Cui, Kamalika Das, Jiaxin Zhang:
Survival of the Safest: Towards Secure Prompt Optimization through Interleaved Multi-Objective Evolution. 1016-1027 - Tian Guo, Emmanuel Hauptmann:
Fine-Tuning Large Language Models for Stock Return Prediction Using Newsflow. 1028-1045 - Dante Everaert, Rohit Patki, Tianqi Zheng, Christopher Potts:
AmazonQAC: A Large-Scale, Naturalistic Query Autocomplete Dataset. 1046-1055 - Chang Yoon, Wonbeen Lee, Seokhwan Jang, Kyuwon Choi, Minsung Jung, Daewoo Choi:
Language, OCR, Form Independent (LOFI) pipeline for Industrial Document Information Extraction. 1056-1067 - Mahmoud Mahfouz, Ethan Callanan, Mathieu Sibue, Antony Papadimitriou, Zhiqiang Ma, Xiaomo Liu, Xiaodan Zhu:
The State of the Art of Large Language Models on Chartered Financial Analyst Exams. 1068-1082 - Inkit Padhi, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Manish Nagireddy, Pierre L. Dognin, Kush R. Varshney:
Value Alignment from Unstructured Text. 1083-1095 - Junhua Liu, Tan Yong Keat, Fu Bin, Kwan Hui Lim:
LARA: Linguistic-Adaptive Retrieval-Augmentation for Multi-Turn Intent Classification. 1096-1106 - James Fletcher, Nicholas Dehnen, Seyed Nima Tayarani Bathaie, Aijun An, Heidar Davoudi, Ron DiCarlantonio, Gary Farmaner:
Generating Vehicular Icon Descriptions and Indications Using Large Vision-Language Models. 1107-1120 - Tanmana Sadhu, Ali Pesaranghader, Yanan Chen, Dong Hoon Yi:
Athena: Safe Autonomous Agents with Verbal Contrastive Learning. 1121-1130 - Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Sadhana Kumaravel, Matthew Stallone, Rameswar Panda, Yara Rizk, G. P. Shrivatsa Bhargav, Maxwell Crouse, Chulaka Gunasekara, Shajith Ikbal, Sachindra Joshi, Hima Karanam, Vineet Kumar, Asim Munawar, Sumit Neelam, Dinesh Raghu, Udit Sharma, Adriana Meza Soria, Dheeraj Sreedhar, Praveen Venkateswaran, Merve Unuvar, David Cox, Salim Roukos, Luis A. Lastras, Pavan Kapanipathi:
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks. 1131-1139 - Md. Tahmid Rahman Laskar, Elena Khasanova, Xue-Yong Fu, Cheng Chen, Shashi Bhushan TN:
Query-OPT: Optimizing Inference of Large Language Models via Multi-Query Instructions in Meeting Summarization. 1140-1151 - Sonali Singh, Sachin Farfade, Prakash Mandayam Comar:
DiAL : Diversity Aware Listwise Ranking for Query Auto-Complete. 1152-1162 - Lavanya Gupta, Saket Sharma, Yiyun Zhao:
Systematic Evaluation of Long-Context LLMs on Financial Concepts. 1163-1175 - Ronak Pradeep, Daniel Lee, Ali Mousavi, Jeffrey Pound, Yisi Sang, Jimmy Lin, Ihab F. Ilyas, Saloni Potdar, Mostafa Arefiyan, Yunyao Li:
ConvKGYarn: Spinning Configurable and Scalable Conversational Knowledge Graph QA Datasets with Large Language Models. 1176-1206 - Yuemin Chen, Feifan Wu, Jingwei Wang, Hao Qian, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Meng Wang:
Knowledge-augmented Financial Market Analysis and Report Generation. 1207-1217 - Zhi Rui Tam, Cheng-Kuang Wu, Yi-Lin Tsai, Chieh-Yen Lin, Hung-yi Lee, Yun-Nung Chen:
Let Me Speak Freely? A Study On The Impact Of Format Restrictions On Large Language Model Performance. 1218-1236 - Tarang Chugh, Deepak Zambre:
ASTRA: Automatic Schema Matching using Machine Translation. 1237-1244 - Yanxiang Zhang, Yuanbo Zhang, Haicheng Sun, Yun Wang, Gary Sivek, Shumin Zhai:
Neural Search Space in Gboard Decoder. 1245-1254 - Divyansh Agarwal, Alexander R. Fabbri, Ben Risher, Philippe Laban, Shafiq Joty, Chien-Sheng Wu:
Prompt Leakage effect and mitigation strategies for multi-turn LLM Applications. 1255-1275 - Han Liu, Xianfeng Tang, Tianlang Chen, Jiapeng Liu, Indu Indu, Henry Peng Zou, Peng Dai, Roberto F. Galán, Michael D. Porter, Dongmei Jia, Ning Zhang, Lian Xiong:
Sequential LLM Framework for Fashion Recommendation. 1276-1285 - Oren Sultan, Alexander Khasin, Guy Shiran, Asnat Greenstein-Messica, Dafna Shahaf:
Visual Editing with LLM-based Tool Chaining: An Efficient Distillation Approach for Real-Time Applications. 1286-1304 - Hithesh Sankararaman, Mohammed Yasin, Tanner Sorensen, Alessandro Di Bari, Andreas Stolcke:
Provenance: A Light-weight Fact-checker for Retrieval Augmented LLM Generation Output. 1305-1313 - Seungwhan Moon, Andrea Madotto, Zhaojiang Lin, Tushar Nagarajan, Matt Smith, Shashank Jain, Chun-Fu Yeh, Prakash Murugesan, Peyman Heidari, Yue Liu, Kavya Srinet, Babak Damavandi, Anuj Kumar:
AnyMAL: An Efficient and Scalable Any-Modality Augmented Language Model. 1314-1332 - Ohjoon Kwon, Donghyeon Jeon, Nayoung Choi, Gyu-Hwung Cho, Hwiyeol Jo, Changbong Kim, Hyunwoo Lee, Inho Kang, Sun Kim, Taiwoo Park:
SLM as Guardian: Pioneering AI Safety with Small Language Model. 1333-1350 - Dooyoung Kim, Yoonjin Jang, Dongwook Shin, Chanhoon Park, Youngjoong Ko:
Hyper-QKSG: Framework for Automating Query Generation and Knowledge-Snippet Extraction from Tables and Lists. 1351-1360 - Juanyan Wang, Sai Mudhiganti, Manali Sharma:
Patentformer: A Novel Method to Automate the Generation of Patent Applications. 1361-1380 - Anubhav Shrimal, Stanley Kanagaraj, Kriti Biswas, Swarnalatha Raghuraman, Anish Nediyanchath, Yi Zhang, Promod Yenigalla:
MARCO: Multi-Agent Real-time Chat Orchestration. 1381-1392 - Xin Zhang, Yanzhao Zhang, Dingkun Long, Wen Xie, Ziqi Dai, Jialong Tang, Huan Lin, Baosong Yang, Pengjun Xie, Fei Huang, Meishan Zhang, Wenjie Li, Min Zhang:
mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval. 1393-1412 - Yihong Tang, Zhaokai Wang, Ao Qu, Yihao Yan, Zhaofeng Wu, Dingyi Zhuang, Jushi Kai, Kebing Hou, Xiaotong Guo, Jinhua Zhao, Zhan Zhao, Wei Ma:
ItiNera: Integrating Spatial Optimization with Large Language Models for Open-domain Urban Itinerary Planning. 1413-1432 - Han Xu, Ruining Zhao, Jindong Wang, Haipeng Chen:
RESTful-Llama: Connecting User Queries to RESTful APIs. 1433-1443 - Anna Hätty, Dragan Milchevski, Kersten Döring, Marko Putnikovic, Mohsen Mesgar, Filip Novovic, Maximilian Braun, Karina Borimann, Igor Stranjanac:
A Cost-Efficient Modular Sieve for Extracting Product Information from Company Websites. 1444-1456 - Jinfeng Zhou, Zhuang Chen, Dazhen Wan, Bosi Wen, Yi Song, Jifan Yu, Yongkang Huang, Pei Ke, Guanqun Bi, Libiao Peng, Jiaming Yang, Xiyao Xiao, Sahand Sabour, Xiaohan Zhang, Wenjing Hou, Yijia Zhang, Yuxiao Dong, Hongning Wang, Jie Tang, Minlie Huang:
CharacterGLM: Customizing Social Characters with Large Language Models. 1457-1476 - Bonggeun Choi, JeongJae Park, Yoonsung Kim, Jaehyun Park, Youngjoong Ko:
RAC: Retrieval-augmented Conversation Dataset for Open-domain Question Answering in Conversational Settings. 1477-1488 - Akash Kumar Mohankumar, Gururaj K, Gagan Madan, Amit Singh:
Improving Retrieval in Sponsored Search by Leveraging Query Context Signals. 1489-1498 - Haoran Sun, Renren Jin, Shaoyang Xu, Leiyu Pan, Supryadi, Menglong Cui, Jiangcun Du, Yikun Lei, Lei Yang, Ling Shi, Juesi Xiao, Shaolin Zhu, Deyi Xiong:
FuxiTranyu: A Multilingual Large Language Model Trained with Balanced Data. 1499-1522 - Abhijit Manatkar, Ashlesha Akella, Parthivi Gupta, Krishnasuri Narayanam:
QUIS: Question-guided Insights Generation for Automated Exploratory Data Analysis. 1523-1535 - Vijit Malik, Akshay Jagatap, Vinayak Puranik, Anirban Majumder:
PEARL: Preference Extraction with Exemplar Augmentation and Retrieval with LLM Agents. 1536-1547 - Juntong Song, Xingguang Wang, Juno Zhu, Yuanhao Wu, Xuxin Cheng, Randy Zhong, Cheng Niu:
RAG-HAT: A Hallucination-Aware Tuning Pipeline for LLM in Retrieval-Augmented Generation. 1548-1558 - Gaurav Arora, Shreya Jain, Srujana Merugu:
Intent Detection in the Age of LLMs. 1559-1570 - Lu Shi, Bin Qi, Jiarui Luo, Yang Zhang, Zhanzhao Liang, Zhaowei Gao, Wenke Deng, Lin Sun:
Aegis: An Advanced LLM-Based Multi-Agent for Intelligent Functional Safety Engineering. 1571-1583 - Nikita Krayko, Ivan Sidorov, Fedor Laputin, Daria Galimzianova, Vasily Konovalov:
Efficient Answer Retrieval System (EARS): Combining Local DB Search and Web Search for Generative QA. 1584-1594 - Manish Kesarwani, Sambit Ghosh, Nitin Gupta, Shramona Chakraborty, Renuka Sindhgatta, Sameep Mehta, Carlos Eberhardt, Dan Debrunner:
GraphQL Query Generation: A Large Training and Benchmarking Dataset. 1595-1607 - Manxi Sun, Wei Liu, Jian Luan, Pengzhi Gao, Bin Wang:
Mixture of Diverse Size Experts. 1608-1621 - Rongwu Xu, Yishuo Cai, Zhenhong Zhou, Renjie Gu, Haiqin Weng, Liu Yan, Tianwei Zhang, Wei Xu, Han Qiu:
Course-Correction: Safety Alignment Using Synthetic Preferences. 1622-1649 - Wenjie Zhou, Zhenxin Ding, Xiaodong Zhang, Haibo Shi, Junfeng Wang, Dawei Yin:
GOVERN: Gradient Orientation Vote Ensemble for Multi-Teacher Reinforced Distillation. 1650-1658 - Arjun R. Akula, Garima Pruthi, Inderjit S. Dhillon, Pradyumna Narayana, Sugato Basu, Varun Jampani:
PRISM: A New Lens for Improved Color Understanding. 1659-1670
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