ACL

Low-Perplexity LLM-Generated Sequences and Where To Find Them

Arthur Wuhrmann, Anastasiia Kucherenko, Andrei Kucharavy

机构 * École Polytechnique Fédérale de Lausanne（瑞士联邦理工学院） ； Institute of Entrepreneurship and Management, HES-SO Valais-Wallis（企业家与管理学院） ； Institute of Informatics, HES-SO Valais-Wallis（信息学院） 纠错

Comments Camera-ready version. Accepted to ACL 2025. 10 pages, 4 figures, 6 tables

The Anatomy of Evidence: An Investigation Into Explainable ICD Coding

Katharina Beckh, Elisa Studeny, Sujan Sai Gannamaneni, Dario Antweiler, Stefan Rüping

机构 * Fraunhofer IAIS（弗劳恩霍夫研究所） ； Lamarr Institute（拉马尔研究所） 纠错

Comments Accepted to ACL 2025 Findings

AdamMeme: Adaptively Probe the Reasoning Capacity of Multimodal Large Language Models on Harmfulness

Zixin Chen, Hongzhan Lin, Kaixin Li, Ziyang Luo, Zhen Ye, Guang Chen, Zhiyong Huang, Jing Ma

Comments ACL 2025

Chart Question Answering from Real-World Analytical Narratives

Maeve Hutchinson, Radu Jianu, Aidan Slingsby, Jo Wood, Pranava Madhyastha

Comments This paper has been accepted to the ACL Student Research Workshop (SRW) 2025

Is External Information Useful for Stance Detection with LLMs?

Quang Minh Nguyen, Taegyoon Kim

Comments ACL Findings 2025

Event-based evaluation of abstractive news summarization

Huiling You, Samia Touileb, Erik Velldal, Lilja Øvrelid

机构 * University of Oslo（奥斯陆大学） ； University of Bergen（卑尔根大学） 纠错

Comments to appear at GEM2 workshop@ACL 2025

DICE-BENCH: Evaluating the Tool-Use Capabilities of Large Language Models in Multi-Round, Multi-Party Dialogues

Kyochul Jang, Donghyeon Lee, Kyusik Kim, Dongseok Heo, Taewhoo Lee, Woojeong Kim, Bongwon Suh

机构 * IPAI, Seoul National University（首尔国立大学IPAI） ； Department of Intelligence and Information, Seoul National University（首尔国立大学智能与信息系） ； Korea University（韩国大学） ； AIGEN Sciences（AIGEN科学） ； Cornell University（康奈尔大学） 纠错

Comments 9 pages, ACL 2025 Vienna

Delving into Multilingual Ethical Bias: The MSQAD with Statistical Hypothesis Tests for Large Language Models

Seunguk Yu, Juhwan Choi, Youngbin Kim

机构 * Chung-Ang University（Chung-Ang 大学） ； AITRICS（AITRICS 研究所） 纠错

Comments ACL 2025 main conference

CodeScientist: End-to-End Semi-Automated Scientific Discovery with Code-based Experimentation

Peter Jansen, Oyvind Tafjord, Marissa Radensky, Pao Siangliulue, Tom Hope, Bhavana Dalvi Mishra, Bodhisattwa Prasad Majumder, Daniel S. Weld, Peter Clark

Comments 98 Pages (13 pages: main paper body; 85 pages: appendix)

Journal ref ACL 2025 (Findings)

ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code Generation

Xuanle Zhao, Xianzhen Luo, Qi Shi, Chi Chen, Shuo Wang, Zhiyuan Liu, Maosong Sun

机构 * Tsinghua University, Beijing, China（清华大学） ； Harbin Institute of Technology（哈尔滨工业大学） 纠错

Comments Accepted by ACL 2025 Main, Camera Ready

QAEncoder: Towards Aligned Representation Learning in Question Answering Systems

Zhengren Wang, Qinhan Yu, Shida Wei, Zhiyu Li, Feiyu Xiong, Xiaoxing Wang, Simin Niu, Hao Liang, Wentao Zhang

机构 * Peking University（北京大学） ； Institute for Advanced Algorithms Research（高级算法研究所） ； Zhongguancun Academy（中关村学院） 纠错

Comments ACL 2025 Oral

Don't Say No: Jailbreaking LLM by Suppressing Refusal

Yukai Zhou, Jian Lou, Zhijie Huang, Zhan Qin, Yibei Yang, Wenjie Wang

Comments Accepted by ACL 2025 Findings

Enhancing LLM Agent Safety via Causal Influence Prompting

Dongyoon Hahm, Woogyeol Jin, June Suk Choi, Sungsoo Ahn, Kimin Lee

Comments Accepted at ACL 2025 Findings, Source code: https://github.com/HahmDY/causal_influence_prompting.git

ProxAnn: Use-Oriented Evaluations of Topic Models and Document Clustering

Alexander Hoyle, Lorena Calvo-Bartolomé, Jordan Boyd-Graber, Philip Resnik

机构 * ETH Zürich（苏黎世联邦理工学院） ； University of Maryland（马里兰大学） ； Universidad Carlos III de Madrid（马德里卡斯蒂利亚-拉曼恰大学） 纠错

Comments Accepted to ACL 2025 (Main)

Question Decomposition for Retrieval-Augmented Generation

Paul J. L. Ammann, Jonas Golde, Alan Akbik

机构 * Humboldt-Universität zu Berlin（柏林洪堡大学） 纠错

Comments Accepted to ACL SRW 2025. 9 Pages, 2 Figures, 4 Tables

Towards Style Alignment in Cross-Cultural Translation

Shreya Havaldar, Adam Stein, Eric Wong, Lyle Ungar

机构 * University of Pennsylvania（宾夕法尼亚大学） 纠错

Comments Accepted to ACL 2025

ComRAG: Retrieval-Augmented Generation with Dynamic Vector Stores for Real-time Community Question Answering in Industry

Qinwen Chen, Wenbiao Tao, Zhiwei Zhu, Mingfan Xi, Liangzhong Guo, Yuan Wang, Wei Wang, Yunshi Lan

机构 * School of Data Science and Engineering, East China Normal University（数据科学与工程学院，东华大学） ； Alibaba Group（阿里巴巴集团） 纠错

Comments 7 pages, 4 figures. Accepted at ACL 2025 Industry Track

DALR: Dual-level Alignment Learning for Multimodal Sentence Representation Learning

Kang He, Yuzhe Ding, Haining Wang, Fei Li, Chong Teng, Donghong Ji

机构 * Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, Wuhan University（航天信息安全部门与可信计算重点实验室，教育部，网络安全科学与工程学院，武汉大学） 纠错

Comments Accepted by ACL 2025 Findings

Fact Recall, Heuristics or Pure Guesswork? Precise Interpretations of Language Models for Fact Completion

Denitsa Saynova, Lovisa Hagström, Moa Johansson, Richard Johansson, Marco Kuhlmann

Comments accepted to ACL Findings 2025

Parameter-Efficient Fine-Tuning via Circular Convolution

Aochuan Chen, Jiashun Cheng, Zijing Liu, Ziqi Gao, Fugee Tsung, Yu Li, Jia Li

机构 * The Hong Kong University of Science and Technology (Guangzhou)（香港科技大学（广州）） ； International Digital Economy Academy（国际数字经济学院） 纠错

Comments ACL 2025

Is Your LLM Outdated? A Deep Look at Temporal Generalization

Chenghao Zhu, Nuo Chen, Yufei Gao, Yunyi Zhang, Prayag Tiwari, Benyou Wang

机构 * The Chinese University of Hong Kong, Shenzhen（香港中文大学（深圳）） ； Shenzhen Research Institute of Big Data（深圳大数据研究院） ； Halmstad University（哈马碧大学） 纠错

Comments NAACL 2025 Oral

Journal ref Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) (2025) 7433-7457

Can LLMs Evaluate Complex Attribution in QA? Automatic Benchmarking using Knowledge Graphs

Nan Hu, Jiaoyan Chen, Yike Wu, Guilin Qi, Hongru Wang, Sheng Bi, Yongrui Chen, Tongtong Wu, Jeff Z. Pan

机构 * School of Computer Science and Engineering, Southeast University（东南大学计算机科学与工程学院） ； Key Laboratory of New Generation Artificial Intelligence Technology and its Interdisciplinary Applications (Southeast University), Ministry of Education（教育部新一代人工智能技术及其交叉应用关键实验室（东南大学）） ； The University of Manchester（曼彻斯特大学） ； The University of Edinburgh（爱丁堡大学） ； Law and Innovation Lab, School of Law, Southeast University（东南大学法学院创新与法律实验室） ； State Key Lab. for Novel Software Technology, Nanjing University（南京大学新型软件技术国家重点实验室） ； The Chinese University of Hong Kong（香港中文大学） ； Monash University（莫纳什大学） 纠错

Comments Accepted to ACL 2025 (Main Conference)

EXPERT: An Explainable Image Captioning Evaluation Metric with Structured Explanations

Hyunjong Kim, Sangyeop Kim, Jongheon Jeong, Yeongjae Cho, Sungzoon Cho

机构 * Seoul National University（首尔国立大学） 纠错

Comments Accepted at ACL 2025 Findings

LibVulnWatch: A Deep Assessment Agent System and Leaderboard for Uncovering Hidden Vulnerabilities in Open-Source AI Libraries

Zekun Wu, Seonglae Cho, Umar Mohammed, Cristian Munoz, Kleyton Costa, Xin Guan, Theo King, Ze Wang, Emre Kazim, Adriano Koshiyama

机构 * Holistic AI ； University College London（伦敦大学学院） 纠错

Comments ACL 2025 Student Research Workshop and ICML 2025 TAIG Workshop

SEUF: Is Unlearning One Expert Enough for Mixture-of-Experts LLMs?

Haomin Zhuang, Yihua Zhang, Kehan Guo, Jinghan Jia, Gaowen Liu, Sijia Liu, Xiangliang Zhang

机构 * University of Notre Dame（诺丁汉大学） ； Michigan State University（密歇根州立大学） ； Cisco Research（思科研究） 纠错

Comments Accepted to ACL'25

Hierarchical Memory Organization for Wikipedia Generation

Eugene J. Yu, Dawei Zhu, Yifan Song, Xiangyu Wong, Jiebin Zhang, Wenxuan Shi, Xiaoguang Li, Qun Liu, Sujian Li

机构 * School of Computer Science, Peking University（北京大学计算机科学学院） ； National Key Laboratory for Multimedia Information Processing, Peking University（北京大学多媒体信息处理国家重点实验室） ； Huawei Noah’s Ark Lab（华为诺亚实验室） 纠错

Comments ACL 2025 Main Conference

ATGen: A Framework for Active Text Generation

Akim Tsvigun, Daniil Vasilev, Ivan Tsvigun, Ivan Lysenko, Talgat Bektleuov, Aleksandr Medvedev, Uliana Vinogradova, Nikita Severin, Mikhail Mozikov, Andrey Savchenko, Rostislav Grigorev, Ramil Kuleev, Fedor Zhdanov, Artem Shelmanov, Ilya Makarov

机构 * Research Center of the Artificial Intelligence Institute, Innopolis University（人工智能研究所研究中心，因诺普利斯大学） ； HSE University（俄罗斯高等经济大学） ； T-Technologies（T-技术公司） ； Robotics Center（机器人中心） ； AIRI（AI研究机构） ； SB-AI-Lab（SB-AI实验室） ； Royal Holloway University of London（皇家霍洛威大学） ； MBZUAI（马克斯·普朗克人工智能研究所） 纠错

Comments Accepted at ACL 2025 System Demonstrations

FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes

Janki Atul Nawale, Mohammed Safi Ur Rahman Khan, Janani D, Mansi Gupta, Danish Pruthi, Mitesh M. Khapra

机构 * Nilekani Centre at AI4Bharat（AI4Bharat 奈尔肯中心） ； Indian Institute of Technology, Madras（印度理工学院马德拉斯分校） ； Indian Institute of Science, Bangalore（印度科学研究所班加罗尔） 纠错

Comments Accepted in ACL 2025

Boosting LLM's Molecular Structure Elucidation with Knowledge Enhanced Tree Search Reasoning

Xiang Zhuang, Bin Wu, Jiyu Cui, Kehua Feng, Xiaotong Li, Huabin Xing, Keyan Ding, Qiang Zhang, Huajun Chen

机构 * Zhejiang University（浙江大学） ； ZJU-Hangzhou Global Scientific and Technological Innovation Center（浙大杭州国际科创中心） ； University College London（伦敦大学学院） 纠错

Comments ACL 2025 Main

Double Entendre: Robust Audio-Based AI-Generated Lyrics Detection via Multi-View Fusion

Markus Frohmann, Gabriel Meseguer-Brocal, Markus Schedl, Elena V. Epure

机构 * Deezer Research（DeepZ研究） 纠错

Comments Accepted to ACL 2025 Findings