EMNLP

Multilingual Prompting for Improving LLM Generation Diversity

Qihan Wang, Shidong Pan, Tal Linzen, Emily Black

机构 * New York University（纽约大学） ； Columbia University（哥伦比亚大学） 纠错

Comments Accepted by EMNLP 2025

Internal Chain-of-Thought: Empirical Evidence for Layer-wise Subtask Scheduling in LLMs

Zhipeng Yang, Junzhuo Li, Siyu Xia, Xuming Hu

机构 * The Hong Kong University of Science and Technology (Guangzhou)（香港科技大学（广州）） ； The Hong Kong University of Science and Technology（香港科技大学） ； Southeast University（东南大学） 纠错

Comments EMNLP 2025 Main

Efficient Unstructured Pruning of Mamba State-Space Models for Resource-Constrained Environments

Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma

机构 * Department of Computer Science, Iowa State University（计算机科学系，爱荷华州立大学） ； Department of Civil, Construction and Environmental Engineering, Iowa State University（土木、建设与环境工程系，爱荷华州立大学） 纠错

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

Cache-Efficient Posterior Sampling for Reinforcement Learning with LLM-Derived Priors Across Discrete and Continuous Domains

Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma

机构 * Department of Computer Science, Iowa State University, Ames, IA, USA（计算机科学系，爱荷华州立大学） ； Department of Civil, Construction and Environmental Engineering, Iowa State University, Ames, IA, USA（土木、建设与环境工程系，爱荷华州立大学） 纠错

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

XL-Suite: Cross-Lingual Synthetic Training and Evaluation Data for Open-Ended Generation

Vivek Iyer, Pinzhen Chen, Ricardo Rei, Alexandra Birch

机构 * University of Edinburgh（爱丁堡大学） ； Sword Health ； Queen’s University Belfast（贝尔法斯特女王大学） 纠错

Comments Accepted to EMNLP 2025 (Findings)

Audio-centric Video Understanding Benchmark without Text Shortcut

Yudong Yang, Jimin Zhuang, Guangzhi Sun, Changli Tang, Yixuan Li, Peihan Li, Yifan Jiang, Wei Li, Zejun Ma, Chao Zhang

机构 * Tsinghua University（清华大学） ； University of Cambridge（剑桥大学） ； ByteDance（字节跳动） 纠错

Comments Accepted for publication in the Proceedings of EMNLP 2025 (Main Conference)

UltraIF: Advancing Instruction Following from the Wild

Kaikai An, Li Sheng, Ganqu Cui, Shuzheng Si, Ning Ding, Yu Cheng, Baobao Chang

Comments Accepted by EMNLP 2025

ExeCoder: Empowering Large Language Models with Executability Representation for Code Translation

Minghua He, Yue Chen, Fangkai Yang, Pu Zhao, Wenjie Yin, Yu Kang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang

Comments EMNLP 2025 (Oral)

Molecular Facts: Desiderata for Decontextualization in LLM Fact Verification

Anisha Gunjal, Greg Durrett

机构 * The University of Texas at Austin（德克萨斯大学奥斯汀分校） 纠错

Journal ref Findings of the Association for Computational Linguistics: EMNLP 2024 (2024) 3751-3768

Thread: A Logic-Based Data Organization Paradigm for How-To Question Answering with Retrieval Augmented Generation

Kaikai An, Fangkai Yang, Liqun Li, Junting Lu, Sitao Cheng, Shuzheng Si, Lu Wang, Pu Zhao, Lele Cao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Baobao Chang

机构 * Peking University（北京大学） ； Microsoft（微软） ； Nanjing University（南京大学） 纠错

Comments Accepted by EMNLP 2025

VCSearch: Bridging the Gap Between Well-Defined and Ill-Defined Problems in Mathematical Reasoning

Shi-Yu Tian, Zhi Zhou, Kun-Yang Yu, Ming Yang, Lin-Han Jia, Lan-Zhe Guo, Yu-Feng Li

机构 * National Key Laboratory for Novel Software Technology, Nanjing University（南京大学新型软件技术国家重点实验室） ； School of Artificial Intelligence, Nanjing University（南京大学人工智能学院） ； School of Intelligence Science and Technology, Nanjing University（南京大学智能科学与技术学院） 纠错

Comments Accepted by EMNLP 2025

Query2Triple: Unified Query Encoding for Answering Diverse Complex Queries over Knowledge Graphs

Yao Xu, Shizhu He, Cunguang Wang, Li Cai, Kang Liu, Jun Zhao

机构 * The Laboratory of Cognition and Decision Intelligence for Complex Systems, Institute of Automation, Chinese Academy of Sciences（认知与决策智能复杂系统实验室，自动化研究所） ； School of Artificial Intelligence, University of Chinese Academy of Sciences（中国科学院大学人工智能学院） ； Meituan（美团） ； Shanghai Artificial Intelligence Laboratory（上海人工智能实验室） 纠错

Comments Accepted by EMNLP 2023 findings