EMNLP

Guideline Learning for In-context Information Extraction

Chaoxu Pang, Yixuan Cao, Qiang Ding, Ping Luo

Comments EMNLP 2023 main conference

Journal ref Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

FRaN-X: FRaming and Narratives-eXplorer

Artur Muratov, Hana Fatima Shaikh, Vanshikaa Jani, Tarek Mahmoud, Zhuohan Xie, Daniil Orel, Aaryamonvikram Singh, Yuxia Wang, Aadi Joshi, Hasan Iqbal, Ming Shan Hee, Dhruv Sahnan, Nikolaos Nikolaidis, Purificação Silvano, Dimitar Dimitrov, Roman Yangarber, Ricardo Campos, Alípio Jorge, Nuno Guimarães, Elisa Sartori, Nicolas Stefanovitch, Giovanni Da San Martino, Jakub Piskorski, Preslav Nakov

机构 * MBZUAI, UAE（阿联酋马斯喀特大学） ； Nazarbayev University, Kazakhstan（哈萨克斯坦纳扎尔巴耶夫大学） ； University of Maryland, USA（美国马里兰大学） ； University of Arizona, USA（美国亚利桑那大学） ； Athens University of Economics and Business, Greece（希腊雅典经济与商业大学） ； University of Porto, Portugal（葡萄牙波尔图大学） ； Sofia University "St. Kliment Ohridski", Bulgaria（保加利亚索菲亚大学） ； University of Helsinki, Finland（芬兰赫尔辛基大学） ； Beira Interior and INESC TEC, Portugal（葡萄牙贝拉内尔和INESC TEC） ； Porto and INESC TEC, Portugal（葡萄牙波尔图和INESC TEC） ； University of Padova, Italy（意大利帕多瓦大学） ； European Commission Joint Research Center, Italy（意大利欧洲委员会联合研究中心） ； Polish Academy of Sciences, Poland（波兰科学院） 纠错

Comments 19 pages, 13 figures, submitted to EMNLP 2025 - Demo Track

OpenFActScore: Open-Source Atomic Evaluation of Factuality in Text Generation

Lucas Fonseca Lage, Simon Ostermann

机构 * Philipps-Universität Marburg（马尔堡大学） ； German Research Centre for Artificial Intelligence (DFKI)（德国人工智能研究中心） ； Centre for European Research in Trusted AI (CERTAIN)（可信AI欧洲研究中心） ； Saarland University（萨尔兰大学） 纠错

Comments Submitted to EMNLP 2025 System Demonstrations track

End-to-End Evaluation for Low-Latency Simultaneous Speech Translation

Christian Huber, Tu Anh Dinh, Carlos Mullov, Ngoc Quan Pham, Thai Binh Nguyen, Fabian Retkowski, Stefan Constantin, Enes Yavuz Ugan, Danni Liu, Zhaolin Li, Sai Koneru, Jan Niehues, Alexander Waibel

机构 * Karlsruhe Institute of Technology（卡尔斯鲁厄理工学院） ； Carnegie Mellon University（卡内基梅隆大学） 纠错

Comments Demo paper at EMNLP 2023

Is It Really Long Context if All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLP

Omer Goldman, Alon Jacovi, Aviv Slobodkin, Aviya Maimon, Ido Dagan, Reut Tsarfaty

机构 * Bar-Ilan University（巴伊兰大学） 纠错

Comments EMNLP 2024

DIY-MKG: An LLM-Based Polyglot Language Learning System

Kenan Tang, Yanhong Li, Yao Qin

机构 * UCSB（UCSB大学） ； University of Chicago（芝加哥大学） 纠错

Comments Submitted to EMNLP 2025 System Demonstration

Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy

Xiaoyun Zhang, Jingqing Ruan, Xing Ma, Yawen Zhu, Jiansong Chen, Ke Zeng, Xunliang Cai

机构 * Meituan（美团） 纠错

Comments 15 pages, 6 figures, submitted to EMNLP

LLMs learn governing principles of dynamical systems, revealing an in-context neural scaling law

Toni J. B. Liu, Nicolas Boullé, Raphaël Sarfati, Christopher J. Earls

机构 * Cornell University, USA（康奈尔大学） ； Imperial College London, UK（伦敦帝国理工学院） 纠错

Journal ref EMNLP 2024

The Limited Impact of Medical Adaptation of Large Language and Vision-Language Models

Daniel P. Jeong, Pranav Mani, Saurabh Garg, Zachary C. Lipton, Michael Oberst

机构 * Carnegie Mellon University（卡内基梅隆大学） ； Abridge ； Mistral AI ； Johns Hopkins University（约翰霍普金斯大学） 纠错

Comments Extended version of EMNLP 2024 paper arXiv:2411.04118. Includes additional results on clinical note QA tasks and supervised fine-tuning evaluations

Margin Matching Preference Optimization: Enhanced Model Alignment with Granular Feedback

Kyuyoung Kim, Ah Jeong Seo, Hao Liu, Jinwoo Shin, Kimin Lee

机构 * KAIST（韩国科学技术院） ； UC Berkeley（加州大学伯克利分校） 纠错

Comments EMNLP 2024 Findings

On the Role of Context in Reading Time Prediction

Andreas Opedal, Eleanor Chodroff, Ryan Cotterell, Ethan Gotlieb Wilcox

机构 * ETH Zürich（苏黎世联邦理工学院） ； Max Planck ETH Center for Learning Systems（马克斯·普朗克 ETH 学习系统中心） ； University of Zürich（苏黎世大学） 纠错

Comments EMNLP 2024; preprocessing was corrected to exclude variance due to word skipping and the conclusions remain unchanged

The Illusion of Competence: Evaluating the Effect of Explanations on Users' Mental Models of Visual Question Answering Systems

Judith Sieker, Simeon Junker, Ronja Utescher, Nazia Attari, Heiko Wersing, Hendrik Buschmeier, Sina Zarrieß

机构 * Computational Linguistics, Department of Linguistics, Bielefeld University（语言学计算系，语言学系，比勒菲尔德大学） ； Honda Research Institute Europe（本田欧洲研究院） ； Digital Linguistics Lab, Department of Linguistics, Bielefeld University（数字语言学实验室，语言学系，比勒菲尔德大学） 纠错

Comments 17 pages (including Appendix). Accepted at EMNLP 2024 main

Journal ref Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pp. 19459-19475

Robustness Evaluation of OCR-based Visual Document Understanding under Multi-Modal Adversarial Attacks

Dong Nguyen Tien, Dung D. Le

机构 * VinUniversity Hanoi（河内Vin大学） 纠错

Comments 8 pages, 1 figure, under review at EMNLP 2025

MaPPER: Multimodal Prior-guided Parameter Efficient Tuning for Referring Expression Comprehension

Ting Liu, Zunnan Xu, Yue Hu, Liangtao Shi, Zhiqiang Wang, Quanjun Yin

机构 * College of Systems Engineering, National University of Defense Technology（系统工程学院，国防科技大学） ； Tsinghua University（清华大学） ； Hefei University of Technology（合肥工业大学） ； iFLYTEK Research（iFLYTEK研究院） 纠错

Comments EMNLP 2024 main

Learning to Refine with Fine-Grained Natural Language Feedback

Manya Wadhwa, Xinyu Zhao, Junyi Jessy Li, Greg Durrett

Comments Code and models available at: https://github.com/ManyaWadhwa/DCR; Findings of EMNLP 2024

LaRS: Latent Reasoning Skills for Chain-of-Thought Reasoning

Zifan Xu, Haozhu Wang, Dmitriy Bespalov, Xian Wu, Peter Stone, Yanjun Qi

机构 * The University of Texas at Austin（德克萨斯大学奥斯汀分校） ； Amazon Web Service（亚马逊网络服务） ； Sony AI（索尼人工智能） 纠错

Journal ref Findings of Empirical Methods in Natural Language Processing 2024

Intended Target Identification for Anomia Patients with Gradient-based Selective Augmentation

Jongho Kim, Romain Storaï, Seung-won Hwang

机构 * Seoul National University（首尔国立大学） ； Interdisciplinary Program in Artificial Intelligence, Seoul National University（人工智能跨学科项目，首尔国立大学） 纠错

Comments EMNLP 2024 Findings (long)

Journal ref In Findings of the Association for Computational Linguistics, EMNLP 2024, pages 10513-10527

MAS-LitEval : Multi-Agent System for Literary Translation Quality Assessment

Junghwan Kim, Kieun Park, Sohee Park, Hyunggug Kim, Bongwon Suh

机构 * Seoul National University（首尔国立大学） ； Infiniction（Infiniction公司） 纠错

Comments 4 Pages, 2 tables, EMNLP submitted

Consistent Autoformalization for Constructing Mathematical Libraries

Lan Zhang, Xin Quan, Andre Freitas

机构 * Department of Computer Science, University of Manchester（曼彻斯特大学计算机科学系） ； Idiap Research Institute（Idiap研究 institute） ； National Biomarker Centre, CRUK Manchester Institute（国家生物标志物中心，CRUK曼彻斯特研究所） 纠错

Comments EMNLP 2024 camera-ready

BRIGHT+: Upgrading the BRIGHT Benchmark with MARCUS, a Multi-Agent RAG Clean-Up Suite

Liyang Chen, Yujun Cai, Jieqiong Dong, Yiwei Wang

机构 * University of California, Los Angeles（加州大学洛杉矶分校） ； The University of Queensland（昆士兰大学） ； Central South University（中央南大学） ； University of California, Merced（加州大学默塞德分校） 纠错

Comments 8 pages, 7 figures, 4 tables. Submitted to EMNLP 2025

Reinforcing Code Generation: Improving Text-to-SQL with Execution-Based Learning

Atharv Kulkarni, Vivek Srikumar

机构 * University of Utah（犹他大学） 纠错

Comments Under review at EMNLP 2025

Where is the signal in tokenization space?

Renato Lui Geh, Honghua Zhang, Kareem Ahmed, Benjie Wang, Guy Van den Broeck

Comments Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024

Revisiting Test-Time Scaling: A Survey and a Diversity-Aware Method for Efficient Reasoning

Ho-Lam Chung, Teng-Yun Hsiao, Hsiao-Ying Huang, Chunerh Cho, Jian-Ren Lin, Zhang Ziwei, Yun-Nung Chen

Comments emnlp 2025 submission

Who's Who: Large Language Models Meet Knowledge Conflicts in Practice

Quang Hieu Pham, Hoang Ngo, Anh Tuan Luu, Dat Quoc Nguyen

机构 * VinAI Research（VinAI研究院） ； Nanyang Technological University（南洋理工大学） 纠错

Comments Accepted to EMNLP 2024 Findings

Pron vs Prompt: Can Large Language Models already Challenge a World-Class Fiction Author at Creative Text Writing?

Guillermo Marco, Julio Gonzalo, Ramón del Castillo, María Teresa Mateo Girona

机构 * School of Computer Science, UNED, Madrid, Spain（计算机科学学院，UNED，马德里，西班牙） ； Faculty of Education, UCM, Madrid, Spain（教育学院，UCM，马德里，西班牙） ； Faculty of Philosophy, UNED, Madrid, Spain（哲学学院，UNED，马德里，西班牙） 纠错

Comments 9 pages 6 figures

Journal ref Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 19654-19670, Miami, Florida, USA. Association for Computational Linguistics

RAG4ITOps: A Supervised Fine-Tunable and Comprehensive RAG Framework for IT Operations and Maintenance

Tianyang Zhang, Zhuoxuan Jiang, Shengguang Bai, Tianrui Zhang, Lin Lin, Yang Liu, Jiawei Ren

机构 * Shanghai Business School（上海商学院） ； University of North Carolina Greensboro（北卡罗来纳州格林斯堡大学） ； Skema Business School（Skema商学院） ； North Carolina Central University（北卡罗来纳州立大学） 纠错

Comments Accepted by EMNLP 2024 Industry Track

Soft Measures for Extracting Causal Collective Intelligence

Maryam Berijanian, Spencer Dork, Kuldeep Singh, Michael Riley Millikan, Ashlin Riggs, Aadarsh Swaminathan, Sarah L. Gibbs, Scott E. Friedman, Nathan Brugnone

Comments Camera-ready version accepted for publication in the EMNLP 2024 Workshop NLP4Science

Revealing the Parallel Multilingual Learning within Large Language Models

Yongyu Mu, Peinan Feng, Zhiquan Cao, Yuzhang Wu, Bei Li, Chenglong Wang, Tong Xiao, Kai Song, Tongran Liu, Chunliang Zhang, Jingbo Zhu

Comments Accepted to EMNLP 2024

Scalable Fine-tuning from Multiple Data Sources: A First-Order Approximation Approach

Dongyue Li, Ziniu Zhang, Lu Wang, Hongyang R. Zhang

机构 * Northeastern University, Boston, MA（东北大学） ； University of Michigan, Ann Arbor, MI（密歇根大学） 纠错

Comments 17 pages. Appeared in Findings of EMNLP'24

SCAR: Data Selection via Style Consistency-Aware Response Ranking for Efficient Instruction-Tuning of Large Language Models

Zhuang Li, Yuncheng Hua, Thuy-Trang Vu, Haolan Zhan, Lizhen Qu, Gholamreza Haffari

机构 * School of Computing Technologies, RMIT University, Australia（皇家墨尔本理工大学计算机科技学院） ； School of Computer Science and Engineering, University of New South Wales（新南威尔士大学计算机科学与工程学院） ； Department of Data Science & AI, Monash University, Australia（墨尔本大学数据科学与人工智能系） 纠错

Comments 35 pages (9th version), developed over 1.5 years. Previously submitted to EMNLP 2024 and ICLR 2025, with revisions based on extensive review feedback. Now accepted to ACL 2025 main