ACL

WXImpactBench: A Disruptive Weather Impact Understanding Benchmark for Evaluating Large Language Models

Yongan Yu, Qingchen Hu, Xianda Du, Jiayin Wang, Fengran Mo, Renee Sieber

机构 * McGill University（麦吉尔大学） ； University of Waterloo（滑铁卢大学） ； Tsinghua University（清华大学） ； University of Montreal（蒙特利尔大学） 纠错

Comments Accepted by ACL 2025

OpenFactCheck: A Unified Framework for Factuality Evaluation of LLMs

Hasan Iqbal, Yuxia Wang, Minghan Wang, Georgi Georgiev, Jiahui Geng, Iryna Gurevych, Preslav Nakov

机构 * MBZUAI ； Monash University（墨尔本大学） ； Sofia University（索菲亚大学） 纠错

Comments 11 pages, 4 Figures, 3 Tables, Published In Proceedings of The 2024 Conference on Empirical Methods in Natural Language Processing

Journal ref In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 219-229, Miami, Florida, USA. Association for Computational Linguistics

OpenFactCheck: Building, Benchmarking Customized Fact-Checking Systems and Evaluating the Factuality of Claims and LLMs

Yuxia Wang, Minghan Wang, Hasan Iqbal, Georgi Georgiev, Jiahui Geng, Preslav Nakov

机构 * MBZUAI ； Monash University（墨尔本大学） ； Sofia University（索菲亚大学） 纠错

Comments 23 pages, 8 tables, 11 figures, Published In Proceedings of the 31st International Conference on Computational Linguistics 2025

Journal ref In Proceedings of the 31st International Conference on Computational Linguistics 2025, pages 11399-11421, Abu Dhabi, UAE. Association for Computational Linguistics

Ko-MuSR: A Multistep Soft Reasoning Benchmark for LLMs Capable of Understanding Korean

Chanwoo Park, Suyoung Park, JiA Kang, Jongyeon Park, Sangho Kim, Hyunji M. Park, Sumin Bae, Mingyu Kang, Jaejin Lee

Comments submitted to ACL ARR Rolling Review

Beyond Line-Level Filtering for the Pretraining Corpora of LLMs

Chanwoo Park, Suyoung Park, Yelim Ahn, Jongmin Kim, Jongyeon Park, Jaejin Lee

Comments submitted to ACL ARR Rolling Review

Agent-based Automated Claim Matching with Instruction-following LLMs

Dina Pisarevskaya, Arkaitz Zubiaga

机构 * Queen Mary University of London（伦敦大学女王学院） 纠错

Comments Accepted for the International Joint Conference on Natural Language Processing & Asia-Pacific Chapter of the Association for Computational Linguistics (2025) Findings

SANSKRITI: A Comprehensive Benchmark for Evaluating Language Models' Knowledge of Indian Culture

Arijit Maji, Raghvendra Kumar, Akash Ghosh, Anushka, Sriparna Saha

机构 * Department of Computer Science and Engineering, Indian Institute of Technology Patna（印度理工学院帕纳布分校计算机科学与工程系） ； Department of Computer Science, Banasthali Vidyapeeth University（班斯塔利大学计算机科学系） 纠错

Comments ACL 2025 Findings

Detecting Sockpuppetry on Wikipedia Using Meta-Learning

Luc Raszewski, Christine De Kock

Comments Accepted to ACL 2025

Journal ref Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 22252-22264, Vienna, Austria. Association for Computational Linguistics. (2025)

PVP: An Image Dataset for Personalized Visual Persuasion with Persuasion Strategies, Viewer Characteristics, and Persuasiveness Ratings

Junseo Kim, Jongwook Han, Dongmin Choi, Jongwook Yoon, Eun-Ju Lee, Yohan Jo

机构 * Graduate School of Data Science, Seoul National University（首尔国立大学数据科学研究生院） ； Interdisciplinary Program in Artificial Intelligence, Seoul National University（首尔国立大学人工智能跨学科项目） ； Department of Communication, Seoul National University（首尔国立大学传播系） 纠错

Comments ACL 2025 Main. Code and dataset are released at: https://github.com/holi-lab/PVP_Personalized_Visual_Persuasion

Distinct social-linguistic processing between humans and large audio-language models: Evidence from model-brain alignment

Hanlin Wu, Xufeng Duan, Zhenguang Cai

机构 * Department of Linguistics and Modern Languages, The Chinese University of Hong Kong（语言学与现代语言系，香港中文大学） ； Brain and Mind Institute, The Chinese University of Hong Kong（脑与心智研究所，香港中文大学） 纠错

Comments Hanlin Wu, Xufeng Duan, and Zhenguang Cai. 2025. Distinct social-linguistic processing between humans and large audio-language models: Evidence from model-brain alignment. In Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics, pages 135-143, Albuquerque, New Mexico, USA. Association for Computational Linguistics. https://aclanthology.org/2025.cmcl-1.18/

Journal ref In Proceedings of CMCL, pages 135-143, ACL (2025)

Dynamic Retriever for In-Context Knowledge Editing via Policy Optimization

Mahmud Wasif Nafee, Maiqi Jiang, Haipeng Chen, Yanfu Zhang

机构 * Rensselaer Polytechnic Institute（拉特格斯理工学院） ； Bangladesh University of Engineering and Technology（孟加拉工程与技术大学） ； College of William & Mary（威廉与玛丽学院） 纠错

Comments Accepted at EMNLP 2025. Copyright 2025 Association for Computational Linguistics (CC BY 4.0). 12 pages, 5 figures

RAEmoLLM: Retrieval Augmented LLMs for Cross-Domain Misinformation Detection Using In-Context Learning Based on Emotional Information

Zhiwei Liu, Kailai Yang, Qianqian Xie, Christine de Kock, Sophia Ananiadou, Eduard Hovy

机构 * The University of Manchester（曼彻斯特大学） ； School of Artificial Intelligence, Wuhan University（武汉大学人工智能学院） ； The University of Melbourne（墨尔本大学） ； Carnegie Mellon University（卡内基梅隆大学） 纠错

Comments Accepted by ACL 2025 (Main)

Human Choice Prediction in Language-based Persuasion Games: Simulation-based Off-Policy Evaluation

Eilam Shapira, Omer Madmon, Reut Apel, Moshe Tennenholtz, Roi Reichart

Comments Accepted for publication in Transactions of the Association for Computational Linguistics (TACL), 2025. Pre-MIT Press publication version

Visual Cues Enhance Predictive Turn-Taking for Two-Party Human Interaction

Sam O'Connor Russell, Naomi Harte

机构 * ADAPT Centre, School of Engineering, Trinity College Dublin（ADAPT中心、工程学院、都柏林信任学院） 纠错

Comments Accepted to ACL 2025, Findings of the Association for Computational Linguistics

Journal ref In Findings of the Association for Computational Linguistics: ACL 2025, pages 209--221, Vienna, Austria. Association for Computational Linguistics, 10.18653/v1/2025.findings-acl.12

Do Robot Snakes Dream like Electric Sheep? Investigating the Effects of Architectural Inductive Biases on Hallucination

Jerry Huang, Prasanna Parthasarathi, Mehdi Rezagholizadeh, Boxing Chen, Sarath Chandar

机构 * Mila & Université de Montréal（Mila与蒙特利尔大学） ； Noah’s Ark Lab（Noah’s Ark实验室） ； Advanced Micro Devices ； Chandar Research Lab（Chandar研究实验室） ； Polytechnique Montréal（蒙特利尔理工学院） ； CIFAR AI Chair（CIFAR人工智能主席） 纠错

Comments Accepted to Findings of The 63rd Annual Meeting of the Association for Computational Linguistics (ACL) 2025. Official proceedings version available at https://aclanthology.org/2025.findings-acl.60/

Sign Language Translation with Sentence Embedding Supervision

Yasser Hamidullah, Josef van Genabith, Cristina España-Bonet

机构 * German Research Center for Artificial Intelligence (DFKI GmbH)（德国人工智能研究中心（DFKI GmbH）） ； Saarland Informatics Campus（萨尔兰州信息学校园） 纠错

Journal ref published at ACL2024

CausalRAG: Integrating Causal Graphs into Retrieval-Augmented Generation

Nengbo Wang, Xiaotian Han, Jagdip Singh, Jing Ma, Vipin Chaudhary

机构 * Department of Computer and Data Sciences, Case Western Reserve University（计算机与数据科学系，凯斯西储大学） ； Department of Design and Innovation, Case Western Reserve University（设计与创新系，凯斯西储大学） 纠错

Comments Accepted at Findings of ACL 2025

Adapting General-Purpose Embedding Models to Private Datasets Using Keyword-based Retrieval

Yubai Wei, Jiale Han, Yi Yang

Comments Link: https://github.com/BaileyWei/BMEmbed

Journal ref Findings of the Association for Computational Linguistics ACL 2025

DialUp! Modeling the Language Continuum by Adapting Models to Dialects and Dialects to Models

Niyati Bafna, Emily Chang, Nathaniel R. Robinson, David R. Mortensen, Kenton Murray, David Yarowsky, Hale Sirin

机构 * Johns Hopkins University, Center for Language and Speech Processing（约翰霍普金斯大学，语言与语音处理中心） ； University of Virginia（弗吉尼亚大学） ； Language Technologies Institute, Carnegie Mellon University（语言技术研究所，卡内基梅隆大学） 纠错

Comments 9 pages, 46 incl. appendix. Presented at ACL '25 (main conference)

Synthetic Dataset for Evaluating Complex Compositional Knowledge for Natural Language Inference

Sushma Anand Akoju, Robert Vacareanu, Haris Riaz, Eduardo Blanco, Mihai Surdeanu

机构 * University of Arizona（亚利桑那大学） 纠错

Comments Accepted to Natural Language Reasoning and Structured Explanations (NLRSE) Workshop, ACL 2023. For dataset, please refer https://github.com/sushmaakoju/clulab-releases/blob/master/acl2023-nlrse-sicck/README.md and https://github.com/sushmaanandakoju/acl2023-nlrse-clulab-SICCK-dataset

RAVEN: Robust Advertisement Video Violation Temporal Grounding via Reinforcement Reasoning

Deyi Ji, Yuekui Yang, Haiyang Wu, Shaoping Ma, Tianrun Chen, Lanyun Zhu

机构 * Tencent（腾讯公司） ； Department of Computer Science and Technology, Tsinghua University（清华大学计算机科学与技术系） ； Zhejiang University（浙江大学） ； Singapore University of Technology and Design（新加坡科技设计大学） 纠错

Comments ACL 2025 (Oral, Industry Track)

Investigating and Enhancing Vision-Audio Capability in Omnimodal Large Language Models

Rui Hu, Delai Qiu, Shuyu Wei, Jiaming Zhang, Yining Wang, Shengping Liu, Jitao Sang

机构 * Beijing Key Lab of Traffic Data Analysis and Mining（北京交通数据挖掘重点实验室） ； Beijing Jiaotong University（北京交通大学） ； Unisound AI Technology Co., Ltd.（Unisound人工智能技术有限公司） ； Peng Cheng Lab（鹏城实验室） 纠错

Comments Accepted to ACL 2025 Findings

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

Prediction hubs are context-informed frequent tokens in LLMs

Beatrix M. G. Nielsen, Iuri Macocco, Marco Baroni

Comments Published as a conference paper at ACL 2025

Journal ref Association for Computational Linguistics 2025

Adversarial Defence without Adversarial Defence: Enhancing Language Model Robustness via Instance-level Principal Component Removal

Yang Wang, Chenghao Xiao, Yizhi Li, Stuart E. Middleton, Noura Al Moubayed, Chenghua Lin

机构 * The University of Manchester, UK（曼彻斯特大学） ； Durham University, UK（杜伦大学） ； The University of Southampton, UK（南安普顿大学） ； Automated Analytics, UK（自动化分析） 纠错

Comments This paper was accepted with an A-decision to Transactions of the Association for Computational Linguistics. This version is the pre-publication version prior to MIT Press production

ORMind: A Cognitive-Inspired End-to-End Reasoning Framework for Operations Research

Zhiyuan Wang, Bokui Chen, Yinya Huang, Qingxing Cao, Ming He, Jianping Fan, Xiaodan Liang

Comments Accepted by Annual Meetings of the Association for Computational Linguistics 2025

Journal ref In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track), 2025,Vienna, Austria. Association for Computational Linguistics

Explanatory Summarization with Discourse-Driven Planning

Dongqi Liu, Xi Yu, Vera Demberg, Mirella Lapata

机构 * Saarland University（萨尔兰大学） ； University of Edinburgh（爱丁堡大学） 纠错

Comments Accepted by the Transactions of the Association for Computational Linguistics (TACL 2025)

Journal ref Dongqi Liu, Xi Yu, Vera Demberg, Mirella Lapata; Explanatory Summarization with Discourse-Driven Planning. Transactions of the Association for Computational Linguistics 2025

Squeezed Attention: Accelerating Long Context Length LLM Inference

Coleman Hooper, Sehoon Kim, Hiva Mohammadzadeh, Monishwaran Maheswaran, Sebastian Zhao, June Paik, Michael W. Mahoney, Kurt Keutzer, Amir Gholami

Comments 22 Pages

Journal ref ACL 2025

Diversity-oriented Data Augmentation with Large Language Models

Zaitian Wang, Jinghan Zhang, Xinhao Zhang, Kunpeng Liu, Pengfei Wang, Yuanchun Zhou

机构 * Computer Network Information Center, CAS（中国科学院计算机网络信息中心） ； University of Chinese Academy of Sciences（中国科学院大学） ； Portland State University（波特兰州立大学） 纠错

Comments Accepted to ACL 2025

Can Graph Descriptive Order Affect Solving Graph Problems with LLMs?

Yuyao Ge, Shenghua Liu, Baolong Bi, Yiwei Wang, Lingrui Mei, Wenjie Feng, Lizhe Chen, Xueqi Cheng

机构 * Institute of Computing Technology, Chinese Academy of Sciences（中国科学院计算技术研究所） ； University of California, Merced（加州大学默塞德分校） ； SAIDS, University of Science and Technology of China（中国科学技术大学SAIDS） ； Tsinghua University（清华大学） 纠错

Comments Accepted to ACL 2025 main conference

Early Detection and Reduction of Memorisation for Domain Adaptation and Instruction Tuning

Dean L. Slack, Noura Al Moubayed

机构 * Durham University（杜伦大学） 纠错

Comments Accepted to Transactions of the ACL (TACL), 2025. 15 pages, 6 figures, 3 tables