EMNLP

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/

BLADE: Benchmarking Language Model Agents for Data-Driven Science

Ken Gu, Ruoxi Shang, Ruien Jiang, Keying Kuang, Richard-John Lin, Donghe Lyu, Yue Mao, Youran Pan, Teng Wu, Jiaqian Yu, Yikun Zhang, Tianmai M. Zhang, Lanyi Zhu, Mike A. Merrill, Jeffrey Heer, Tim Althoff

机构 * University of Washington（华盛顿大学） ； UC Berkeley（伯克利大学） ； New York University（纽约大学） ； Stanford University（斯坦福大学） ； University of British Columbia（不列颠哥伦比亚大学） ； Microsoft（微软） ； George Washington University（乔治·华盛顿大学） 纠错

Comments EMNLP 2024

Retracing the Past: LLMs Emit Training Data When They Get Lost

Myeongseob Ko, Nikhil Reddy Billa, Adam Nguyen, Charles Fleming, Ming Jin, Ruoxi Jia

机构 * Virginia Tech（弗吉尼亚理工大学） ； Cisco Research（思科研究） 纠错

Comments The 2025 Conference on Empirical Methods in Natural Language Processing

ECom-Bench: Can LLM Agent Resolve Real-World E-commerce Customer Support Issues?

Haoxin Wang, Xianhan Peng, Xucheng Huang, Yizhe Huang, Ming Gong, Chenghan Yang, Yang Liu, Ling Jiang

机构 * Xiaoduo AI Lab（小多人工智能实验室） ； Shanghai Jiao Tong University（上海交通大学） 纠错

Comments Accepted as a main conference paper at EMNLP 2025

Mechanisms vs. Outcomes: Probing for Syntax Fails to Explain Performance on Targeted Syntactic Evaluations

Ananth Agarwal, Jasper Jian, Christopher D. Manning, Shikhar Murty

机构 * Stanford University（斯坦福大学） 纠错

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

InfiniBench: A Benchmark for Large Multi-Modal Models in Long-Form Movies and TV Shows

Kirolos Ataallah, Eslam Abdelrahman, Mahmoud Ahmed, Chenhui Gou, Khushbu Pahwa, Jian Ding, Mohamed Elhoseiny

机构 * KAUST（卡塔尔科技大学） ； Monash University（墨尔本大学） ； RICE University（里士满大学） 纠错

Comments Accepted for oral presentation at the EMNLP 2025 main conference