EMNLP

PIP: Perturbation-based Iterative Pruning for Large Language Models

Yi Cao, Wei-Jie Xu, Yucheng Shen, Weijie Shi, Chi-Min Chan, Jianfeng Qu, Jiajie Xu

机构 * School of Computer Science and Technology, Soochow University（苏州大学计算机科学与技术学院） ； School of Artificial Intelligence, Nanjing University（南京大学人工智能学院） ； Department of Computer Science and Engineering, Hong Kong University of Science and Technology（香港科技大学计算机科学与工程系） 纠错

Comments EMNLP 2025 Findings, 17 pages, 5 figures, 15 tables

Proactive Hearing Assistants that Isolate Egocentric Conversations

Guilin Hu, Malek Itani, Tuochao Chen, Shyamnath Gollakota

机构 * Paul G. Allen School of Computer Science & Engineering, University of Washington（保罗·G·艾伦计算机科学与工程学院，华盛顿大学） 纠错

Comments Accepted at EMNLP 2025 Main Conference

Journal ref In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, pages 25377-25394, Suzhou, China. Association for Computational Linguistics

Re-FRAME the Meeting Summarization SCOPE: Fact-Based Summarization and Personalization via Questions

Frederic Kirstein, Sonu Kumar, Terry Ruas, Bela Gipp

机构 * University of Göttingen（哥廷根大学） 纠错

Comments Accepted at EMNLP 2025

Test-Time Steering for Lossless Text Compression via Weighted Product of Experts

Qihang Zhang, Muchen Li, Ziao Wang, Renjie Liao, Lele Wang

机构 * University of British Columbia（不列颠哥伦比亚大学） ； Vector Institute for AI（人工智能向量研究所） ； Canada CIFAR AI Chair（加拿大CIFAR人工智能主席） ； University of Michigan（密歇根大学） 纠错

Comments 8 pages. Accepted by EMNLP 2025. Code and additional details are available at: https://qihang-zhang.com/Learning-Sys-Blog/2025/10/15/weighted-product-of-experts.html

Journal ref Findings of the Association for Computational Linguistics: EMNLP 2025, pages 2076-2088, Suzhou, China, 2025

ELYADATA & LIA at NADI 2025: ASR and ADI Subtasks

Haroun Elleuch, Youssef Saidi, Salima Mdhaffar, Yannick Estève, Fethi Bougares

Comments Published in Proceedings of the ArabicNLP 2025 Workshop (co-located with EMNLP 2025), Association for Computational Linguistics, 2025

From n-gram to Attention: How Model Architectures Learn and Propagate Bias in Language Modeling

Mohsinul Kabir, Tasfia Tahsin, Sophia Ananiadou

机构 * Department of Computer Science, National Center for Text Mining, The University of Manchester（计算机科学系，文本挖掘国家中心，曼彻斯特大学） ； Department of Computer Science and Engineering, Islamic University of Technology（计算机科学与工程系，伊斯兰技术大学） 纠错

Comments Accepted at EMNLP 2025 (Findings)

Journal ref Findings of the Association for Computational Linguistics: EMNLP 2025

Break the Checkbox: Challenging Closed-Style Evaluations of Cultural Alignment in LLMs

Mohsinul Kabir, Ajwad Abrar, Sophia Ananiadou

机构 * Department of Computer Science, National Center for Text Mining, The University of Manchester（计算机科学系，文本挖掘国家中心，曼彻斯特大学） ； Department of Computer Science and Engineering, Islamic University of Technology（计算机科学与工程系，伊斯兰技术大学） 纠错

Comments Accepted at EMNLP 2025 (Main)

Journal ref Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing

CoAT: Chain-of-Associated-Thoughts Framework for Enhancing Large Language Models Reasoning

Jianfeng Pan, Senyou Deng, Shaomang Huang

机构 * Security Technology Inc.（360安全技术公司） 纠错

Comments 18 pages, 10 figures, Accepted by EMNLP 2025 (Findings)

From Capabilities to Performance: Evaluating Key Functional Properties of LLM Architectures in Penetration Testing

Lanxiao Huang, Daksh Dave, Tyler Cody, Peter Beling, Ming Jin

机构 * Bradley Department of Electrical and Computer Engineering, Virginia Tech（弗吉尼亚理工大学电气与计算机工程系布雷拉德部门） ； National Security Institute, Virginia Tech（弗吉尼亚理工大学国家安全研究所） 纠错

Journal ref Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, pages 15890 to 15916, Suzhou, China, November 2025

Graph of Attacks with Pruning: Optimizing Stealthy Jailbreak Prompt Generation for Enhanced LLM Content Moderation

Daniel Schwartz, Dmitriy Bespalov, Zhe Wang, Ninad Kulkarni, Yanjun Qi

机构 * Amazon Bedrock Science（亚马逊Bedrock科学） ； Drexel University（德雷塞尔大学） ； University of Virginia（弗吉尼亚大学） 纠错

Comments 14 pages, 5 figures; published in EMNLP 2025 ; Code at: https://github.com/dsbuddy/GAP-LLM-Safety

Representing LLMs in Prompt Semantic Task Space

Idan Kashani, Avi Mendelson, Yaniv Nemcovsky

机构 * Technion - Israel Institute of Technology（技术离子-以色列理工学院） 纠错

Comments Accepted to Findings of the Association for Computational Linguistics: EMNLP 2025

Data Augmentation for Maltese NLP using Transliterated and Machine Translated Arabic Data

Kurt Micallef, Nizar Habash, Claudia Borg

Comments EMNLP Camera-Ready

Understanding and Leveraging the Expert Specialization of Context Faithfulness in Mixture-of-Experts LLMs

Jun Bai, Minghao Tong, Yang Liu, Zixia Jia, Zilong Zheng

机构 * State Key Laboratory of General Artificial Intelligence, BIGAI（通用人工智能国家重点实验室，BIGAI） ； School of Computer Science, Wuhan University（武汉大学计算机学院） 纠错

Comments EMNLP 2025 Main

Is Cognition Consistent with Perception? Assessing and Mitigating Multimodal Knowledge Conflicts in Document Understanding

Zirui Shao, Feiyu Gao, Zhaoqing Zhu, Chuwei Luo, Hangdi Xing, Zhi Yu, Qi Zheng, Ming Yan, Jiajun Bu

机构 * Zhejiang Key Laboratory of Accessible Perception and Intelligent Systems, Zhejiang University（浙江可感知智能系统重点实验室，浙江大学） ； Alibaba Group（阿里巴巴集团） ； Hangzhou High-Tech Zone (Binjiang) Institute of Blockchain and DataSecurity（杭州高新技术区（滨江）区块链与数据安全研究院） 纠错

Comments Accepted at EMNLP 2025

Data Descriptions from Large Language Models with Influence Estimation

Chaeri Kim, Jaeyeon Bae, Taehwan Kim

机构 * Ulsan National Institute of Science and Technology(UNIST)（乌山国立科学技术研究院） 纠错

Journal ref Published in EMNLP 2025, check our project on this https URL : https://github.com/kimchaeri/Data-Descriptions-from-Large-Language-Models-with-Influence-Estimation

Reasoning-Enhanced Domain-Adaptive Pretraining of Multimodal Large Language Models for Short Video Content Governance

Zixuan Wang, Yu Sun, Hongwei Wang, Baoyu Jing, Xiang Shen, Xin Dong, Zhuolin Hao, Hongyu Xiong, Yang Song

机构 * TikTok Inc.（字节跳动公司） 纠错

Comments Camera Ready for EMNLP 2025

Enrich-on-Graph: Query-Graph Alignment for Complex Reasoning with LLM Enriching

Songze Li, Zhiqiang Liu, Zhengke Gui, Huajun Chen, Wen Zhang

机构 * Zhejiang University（浙江大学） ； Ant Group（蚂蚁集团） ； ZJU-Ant Group Joint Lab of Knowledge Graph（浙江大学-蚂蚁集团知识图谱联合实验室） 纠错

Journal ref EMNLP 2025, pages 7683-7703

Large Language Models Do Multi-Label Classification Differently

Marcus Ma, Georgios Chochlakis, Niyantha Maruthu Pandiyan, Jesse Thomason, Shrikanth Narayanan

机构 * University of Southern California（南加州大学） 纠错

Comments To be published in the Main Conference Proceedings of EMNLP 2025, 24 pages, 16 figures, 7 tables

Humans Hallucinate Too: Language Models Identify and Correct Subjective Annotation Errors With Label-in-a-Haystack Prompts

Georgios Chochlakis, Peter Wu, Arjun Bedi, Marcus Ma, Kristina Lerman, Shrikanth Narayanan

机构 * University of Southern California（南加州大学） 纠错

Comments Accepted to the Main Proceedings of EMNLP, 2025. 20 pages, 16 figures, 10 tables

Enhancing Speech-to-Speech Dialogue Modeling with End-to-End Retrieval-Augmented Generation

Pengchao Feng, Ziyang Ma, Wenxi Chen, Yao Li, Sheng Wang, Kai Yu, Xie Chen

机构 * MoE Key Lab of Artificial Intelligence（人工智能增强实验室） ； Jiangsu Key Lab of Language Computing（江苏语言计算重点实验室） ； X-LANCE Lab（X-LANCE实验室） ； School of Computer Science, Shanghai Jiao Tong University（上海交通大学计算机科学学院） ； Shanghai Innovation Institute（上海创新研究院） ； Shanghai Aviation Electric Co., Ltd（上海航空电器有限公司） 纠错

Comments Accepted to EMNLP 2025 Findings

Journal ref Findings of the Association for Computational Linguistics: EMNLP 2025, pages 4499-4507

3MDBench: Medical Multimodal Multi-agent Dialogue Benchmark

Ivan Sviridov, Amina Miftakhova, Artemiy Tereshchenko, Galina Zubkova, Pavel Blinov, Andrey Savchenko

机构 * Sber AI Lab（Sber AI实验室） ； HSE University（俄罗斯高等经济大学） ； ISP RAS Research Center for Trusted Artificial Intelligence（俄罗斯科学院信息与系统问题研究所可信人工智能研究中心） 纠错

Comments EMNLP 25 (main)

Journal ref https://aclanthology.org/2025.emnlp-main.1353/

Aspect-Oriented Summarization for Psychiatric Short-Term Readmission Prediction

WonJin Yoon, Boyu Ren, Spencer Thomas, Chanhwi Kim, Guergana Savova, Mei-Hua Hall, Timothy Miller

Comments Published in Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025, Main Track)

Journal ref In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, pages 28025-28042, Suzhou, China. Association for Computational Linguistics

Tool Zero: Training Tool-Augmented LLMs via Pure RL from Scratch

Yirong Zeng, Xiao Ding, Yutai Hou, Yuxian Wang, Li Du, Juyi Dai, Qiuyang Ding, Duyu Tang, Dandan Tu, Weiwen Liu, Bing Qin, Ting Liu

机构 * Harbin Institute of Technology SCIR Lab（哈尔滨工业大学SCIR实验室） ； Huawei Technologies Co., Ltd（华为技术有限公司） ； Shanghai Jiao Tong University（上海交通大学） ； Beijing Academy of Artificial Intelligence（北京人工智能研究院） 纠错

Comments EMNLP 2025 finding

Progressive Facial Granularity Aggregation with Bilateral Attribute-based Enhancement for Face-to-Speech Synthesis

Yejin Jeon, Youngjae Kim, Jihyun Lee, Hyounghun Kim, Gary Geunbae Lee

机构 * Graduate School of Artificial Intelligence, POSTECH, Republic of Korea（人工智能研究生院，POSTECH，韩国） ； Department of Computer Science and Engineering, POSTECH, Republic of Korea（计算机科学与工程系，POSTECH，韩国） 纠错

Comments EMNLP Findings

DrKGC: Dynamic Subgraph Retrieval-Augmented LLMs for Knowledge Graph Completion across General and Biomedical Domains

Yongkang Xiao, Sinian Zhang, Yi Dai, Huixue Zhou, Jue Hou, Jie Ding, Rui Zhang

机构 * University of Minnesota（明尼苏达大学） ； University of Michigan（密歇根大学） 纠错

Comments Accepted at EMNLP 2025 Findings

Rethinking Text-based Protein Understanding: Retrieval or LLM?

Juntong Wu, Zijing Liu, He Cao, Hao Li, Bin Feng, Zishan Shu, Ke Yu, Li Yuan, Yu Li

机构 * Peking University, Shenzhen Graduate School（北京大学深圳研究生院） ； International Digital Economy Academy (IDEA)（国际数字经济学院） 纠错

Comments Accepted by Empirical Methods in Natural Language Processing 2025 (EMNLP 2025) Main Conference

MUG-Eval: A Proxy Evaluation Framework for Multilingual Generation Capabilities in Any Language

Seyoung Song, Seogyeong Jeong, Eunsu Kim, Jiho Jin, Dongkwan Kim, Jay Shin, Alice Oh

Comments To appear in Findings of EMNLP 2025

MultiMed-ST: Large-scale Many-to-many Multilingual Medical Speech Translation

Khai Le-Duc, Tuyen Tran, Bach Phan Tat, Nguyen Kim Hai Bui, Quan Dang, Hung-Phong Tran, Thanh-Thuy Nguyen, Ly Nguyen, Tuan-Minh Phan, Thi Thu Phuong Tran, Chris Ngo, Nguyen X. Khanh, Thanh Nguyen-Tang

Comments EMNLP 2025

Evaluating Test-Time Scaling LLMs for Legal Reasoning: OpenAI o1, DeepSeek-R1, and Beyond

Yinghao Hu, Yaoyao Yu, Leilei Gan, Bin Wei, Kun Kuang, Fei Wu

机构 * College of Computer Science and Technology, Zhejiang University（浙江大学计算机科学与技术学院） ； Guanghua Law School, Zhejiang University（浙江大学光华法学院） ； School of Software Technology, Zhejiang University（浙江大学软件学院） ； Law & AI Lab, Zhejiang University（浙江大学法律与人工智能实验室） ； Shanghai AI Laboratory（上海人工智能实验室） 纠错

Comments 23 pages, Published in Findings of the Association for Computational Linguistics: EMNLP 2025

Brotherhood at WMT 2024: Leveraging LLM-Generated Contextual Conversations for Cross-Lingual Image Captioning

Siddharth Betala, Ishan Chokshi

Comments Accepted at the Ninth Conference on Machine Translation (WMT24), co-located with EMNLP 2024

Journal ref https://aclanthology.org/2024.wmt-1.81/