ACL

CoCoLex: Confidence-guided Copy-based Decoding for Grounded Legal Text Generation

Santosh T. Y. S. S, Youssef Tarek Elkhayat, Oana Ichim, Pranav Shetty, Dongsheng Wang, Zhiqiang Ma, Armineh Nourbakhsh, Xiaomo Liu

机构 * School of Computation, Information, and Technology, Technical University of Munich（计算、信息与技术学院，慕尼黑技术大学） ； Graduate Institute of International and Development Studies, Geneva（国际与发展研究研究生院，日内瓦） ； JPMorgan AI Research（摩根大通人工智能研究） 纠错

Comments Accepted to ACL 2025-Main Conference

Finding Needles in Images: Can Multimodal LLMs Locate Fine Details?

Parth Thakkar, Ankush Agarwal, Prasad Kasu, Pulkit Bansal, Chaitanya Devaguptapu

Comments Accepted at ACL 2025 in the main track

Journal ref Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics 2025

McBE: A Multi-task Chinese Bias Evaluation Benchmark for Large Language Models

Tian Lan, Xiangdong Su, Xu Liu, Ruirui Wang, Ke Chang, Jiang Li, Guanglai Gao

机构 * College of Computer Science, Inner Mongolia University（内蒙古大学计算机科学学院） ； National & Local Joint Engineering Research Center of Intelligent Information Processing Technology for Mongolian（蒙古语智能信息处理技术国家与地方联合工程研究中心） ； Inner Mongolia Key Laboratory of Multilingual Artificial Intelligence Technology（内蒙古多语种人工智能技术重点实验室） 纠错

Comments Accepted by ACL2025 Findings

Journal ref In Findings of the Association for Computational Linguistics: ACL 2025, pages 6033-6056, Vienna, Austria. Association for Computational Linguistics

Can Vision Language Models Understand Mimed Actions?

Hyundong Cho, Spencer Lin, Tejas Srinivasan, Michael Saxon, Deuksin Kwon, Natali T. Chavez, Jonathan May

机构 * Information Sciences Institute（信息科学研究所） ； Institute for Creative Technologies（创意技术研究所） ； Department of Computer Science（计算机科学系） ； University of Southern California（南加州大学） ； University of California, Santa Barbara（加州大学圣巴巴拉分校） ； Aristotle University of Thessaloniki（希腊雅典纳大学） 纠错

Comments ACL 2025 Findings

Uncovering Visual-Semantic Psycholinguistic Properties from the Distributional Structure of Text Embedding Space

Si Wu, Sebastian Bruch

机构 * Northeastern University（东北大学） 纠错

Comments The camera-ready version for ACL 2025 in Vienna

VoxRAG: A Step Toward Transcription-Free RAG Systems in Spoken Question Answering

Zackary Rackauckas, Julia Hirschberg

机构 * Columbia University（哥伦比亚大学） 纠错

Comments Accepted to ACL 2025 Workshop MAGMaR

Journal ref Proceedings of the 1st Workshop on Multimodal Augmented Generation via Multimodal Retrieval (MAGMaR 2025), pp. 40-46, Vienna, Austria, August 2025. Association for Computational Linguistics

Large Language Models Still Exhibit Bias in Long Text

Wonje Jeung, Dongjae Jeon, Ashkan Yousefpour, Jonghyun Choi

机构 * Yonsei University（延世大学） ； Seoul National University（首尔国立大学） 纠错

Comments Accepted by ACL, code and models are available at https://github.com/WonjeJeung/LTF-TEST

Recent Advances in Speech Language Models: A Survey

Wenqian Cui, Dianzhi Yu, Xiaoqi Jiao, Ziqiao Meng, Guangyan Zhang, Qichao Wang, Yiwen Guo, Irwin King

机构 * Department of Computer Science and Engineering, The Chinese University of Hong Kong（计算机科学与工程系，香港中文大学） ； LIGHTSPEED STUDIOS ； National University of Singapore（新加坡国立大学） ； Tencent（腾讯） 纠错

Comments The reduced version of this paper has been accepted at ACL 2025

Know the Unknown: An Uncertainty-Sensitive Method for LLM Instruction Tuning

Jiaqi Li, Yixuan Tang, Yi Yang

机构 * The Hong Kong University of Science and Technology（香港科学与技术大学） 纠错

Comments Findings of The 63rd Annual Meeting of the Association for Computational Linguistics (ACL Findings 2025)