ACL

An Analysis of Datasets, Metrics and Models in Keyphrase Generation

Florian Boudin, Akiko Aizawa

Comments GEM^2 paper @ ACL 2025

Classifying Unreliable Narrators with Large Language Models

Anneliese Brei, Katharine Henry, Abhisheik Sharma, Shashank Srivastava, Snigdha Chaturvedi

机构 * UNC Chapel Hill（北卡罗来纳大学教堂山分校） ； Virginia Polytechnic Institute and State University（弗吉尼亚理工学院和州立大学） 纠错

Comments ACL 2025

LLMs Caught in the Crossfire: Malware Requests and Jailbreak Challenges

Haoyang Li, Huan Gao, Zhiyuan Zhao, Zhiyu Lin, Junyu Gao, Xuelong Li

机构 * Institute of Artificial Intelligence (TeleAI), China Telecom（人工智能研究院（TeleAI），中国电信） ； Beihang University（北京航空航天大学） ； Beijing Jiaotong University（北京交通大学） ； Northwestern Polytechnical University（西北工业大学） 纠错

Comments Accepted as ACL 2025 main conference

Improving Fairness of Large Language Models in Multi-document Summarization

Haoyuan Li, Rui Zhang, Snigdha Chaturvedi

机构 * University of North Carolina at Chapel Hill（北卡罗来纳大学教堂山分校） ； Pennsylvania State University（宾夕法尼亚州立大学） 纠错

Comments Accepted to ACL 2025 main

Social Bias Benchmark for Generation: A Comparison of Generation and QA-Based Evaluations

Jiho Jin, Woosung Kang, Junho Myung, Alice Oh

机构 * KAIST（韩国科学技术院） 纠错

Comments ACL-Findings 2025

BeamLoRA: Beam-Constraint Low-Rank Adaptation

Naibin Gu, Zhenyu Zhang, Xiyu Liu, Peng Fu, Zheng Lin, Shuohuan Wang, Yu Sun, Hua Wu, Weiping Wang, Haifeng Wang

机构 * Institute of Information Engineering, Chinese Academy of Sciences（中国科学院信息工程研究所） ； School of Cyber Security, University of Chinese Academy of Sciences（中国科学院大学网络安全学院） ； Baidu Inc.（百度公司） 纠错

Comments Accepted by ACL 2025

Pragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and Challenges

Bolei Ma, Yuting Li, Wei Zhou, Ziwei Gong, Yang Janet Liu, Katja Jasinskaja, Annemarie Friedrich, Julia Hirschberg, Frauke Kreuter, Barbara Plank

机构 * LMU Munich & Munich Center for Machine Learning（慕尼黑大学及慕尼黑机器学习中心） ； University of Cologne（科隆大学） ； University of Augsburg（奥格斯堡大学） ； Bosch Center for Artificial Intelligence（博世人工智能中心） ； Columbia University（哥伦比亚大学） ； University of Maryland, College Park（马里兰大学学院市分校） 纠错

Comments ACL 2025

On Many-Shot In-Context Learning for Long-Context Evaluation

Kaijian Zou, Muhammad Khalifa, Lu Wang

机构 * Computer Science and Engineering, University of Michigan（计算机科学与工程系，密歇根大学） 纠错

Comments ACL 2025 Main Conference

SelectLLM: Query-Aware Efficient Selection Algorithm for Large Language Models

Kaushal Kumar Maurya, KV Aditya Srivatsa, Ekaterina Kochmar

机构 * Mohamed Bin Zayed University of Artificial Intelligence（Mohamed Bin Zayed人工智能大学） 纠错

Comments 9 pages

Journal ref ACL 2025 (Findings)

Croppable Knowledge Graph Embedding

Yushan Zhu, Wen Zhang, Zhiqiang Liu, Mingyang Chen, Lei Liang, Huajun Chen

机构 * Zhejiang University（浙江大学） ； Ant Group（蚂蚁集团） ； Zhejiang University - Ant Group Joint Laboratory of Knowledge Graph（浙江大学-蚂蚁集团知识图谱联合实验室） ； Zhejiang Key Laboratory of Big Data Intelligent Computing（浙江省大数据智能计算重点实验室） 纠错

Comments Accepted to ACL 2025 Main Conference

PersonaLens: A Benchmark for Personalization Evaluation in Conversational AI Assistants

Zheng Zhao, Clara Vania, Subhradeep Kayal, Naila Khan, Shay B. Cohen, Emine Yilmaz

机构 * University of Edinburgh（爱丁堡大学） ； Amazon（亚马逊） ； University College London（伦敦大学学院） 纠错

Comments Accepted to ACL 2025 Findings

Dataset of News Articles with Provenance Metadata for Media Relevance Assessment

Tomas Peterka, Matyas Bohacek

机构 * Stanford University（斯坦福大学） 纠错

Journal ref Workshop on NLP for Positive Impact @ ACL 2025

Do LLMs Give Psychometrically Plausible Responses in Educational Assessments?

Andreas Säuberli, Diego Frassinelli, Barbara Plank

机构 * MaiNLP, Center for Information and Language Processing, LMU Munich（MaiNLP、信息与语言处理中心、慕尼黑大学） ； Munich Center for Machine Learning (MCML)（慕尼黑机器学习中心） 纠错

Comments Accepted for publication at the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA) at ACL 2025

Decoding Knowledge Attribution in Mixture-of-Experts: A Framework of Basic-Refinement Collaboration and Efficiency Analysis

Junzhuo Li, Bo Wang, Xiuze Zhou, Peijie Jiang, Jia Liu, 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） ； Ant Group（蚂蚁集团） 纠错

Comments ACL 2025

MAGIC-VQA: Multimodal And Grounded Inference with Commonsense Knowledge for Visual Question Answering

Shuo Yang, Siwen Luo, Soyeon Caren Han, Eduard Hovy

机构 * The University of Melbourne（墨尔本大学） ； The University of Western Australia（西澳大学） 纠错

Comments Findings of ACL 2025

Guidelines for Fine-grained Sentence-level Arabic Readability Annotation

Nizar Habash, Hanada Taha-Thomure, Khalid N. Elmadani, Zeina Zeino, Abdallah Abushmaes

机构 * Computational Approaches to Modeling Language Lab, New York University Abu Dhabi（纽约大学阿布扎克分校计算语言学建模实验室） ； Zai Arabic Language Research Centre, Zayed University（扎伊阿拉伯语言研究中心，扎耶德大学） ； Abu Dhabi Arabic Language Centre（阿布扎克阿拉伯语言中心） 纠错

Comments Accepted at LAW-XIX at ACL 2025

MOSAIC: Multiple Observers Spotting AI Content

Matthieu Dubois, François Yvon, Pablo Piantanida

机构 * Sorbonne Université, CNRS, ISIR, Paris France（索邦大学、国家科学研究中心、ISIR、巴黎法国） ； CNRS, International Laboratory on Learning Systems, Montréal, Canada（国家科学研究中心、学习系统国际实验室、蒙特利尔加拿大） ； Mila - Québec AI Institute, Montréal, Canada（魁北克AI研究所、蒙特利尔加拿大） ； CentraleSupélec, Université Paris-Saclay, Gif-sur-Yvette, France（CentraleSupélec、巴黎萨克雷大学、吉夫-sur-伊夫特法国） 纠错

Comments ACL 2025 Findings, code can be found at https://github.com/BaggerOfWords/MOSAIC

CaLMQA: Exploring culturally specific long-form question answering across 23 languages

Shane Arora, Marzena Karpinska, Hung-Ting Chen, Ipsita Bhattacharjee, Mohit Iyyer, Eunsol Choi

机构 * The University of Texas at Austin（德克萨斯大学奥斯汀分校） ； New York University（纽约大学） ； University of Massachusetts Amherst（马萨诸塞大学阿默斯特分校） 纠错

Comments 46 pages, 26 figures. Accepted as a main conference paper at ACL 2025. Code and data available at https://github.com/2015aroras/CaLMQA . Dataset expanded to 51.7K questions

Using Shapley interactions to understand how models use structure

Divyansh Singhvi, Diganta Misra, Andrej Erkelens, Raghav Jain, Isabel Papadimitriou, Naomi Saphra

机构 * ELLIS & MPI-IS Tübingen（ELLIS与MPI-IS图宾根研究所） ； UC San Diego（圣地亚哥大学） ； Kempner Institute, Harvard University（哈佛法学院凯普纳研究所） 纠错

Comments Published in ACL 2025

UniToMBench: Integrating Perspective-Taking to Improve Theory of Mind in LLMs

Prameshwar Thiyagarajan, Vaishnavi Parimi, Shamant Sai, Soumil Garg, Zhangir Meirbek, Nitin Yarlagadda, Kevin Zhu, Chris Kim

机构 * Algoverse AI Research（Algoverse AI研究院） 纠错

Comments Accepted at Conference of the North American Chapter of the Association for Computational Linguistics, Student Research Workshop 2025 (NAACL SRW 2025)

Hidden in Plain Sight: Evaluation of the Deception Detection Capabilities of LLMs in Multimodal Settings

Md Messal Monem Miah, Adrita Anika, Xi Shi, Ruihong Huang

Comments Accepted to ACL 2025 Main Conference

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts

Yuchen Feng, Bowen Shen, Naibin Gu, Jiaxuan Zhao, Peng Fu, Zheng Lin, Weiping Wang

机构 * Institute of Information Engineering, Chinese Academy of Sciences（中国科学院信息工程研究所） ； School of Cyber Security, University of Chinese Academy of Sciences（中国科学院大学网络空间安全学院） 纠错

Comments ACL 2025

$(RSA)^2$: A Rhetorical-Strategy-Aware Rational Speech Act Framework for Figurative Language Understanding

Cesare Spinoso-Di Piano, David Austin, Pablo Piantanida, Jackie Chi Kit Cheung

机构 * First Author Affiliation（第一作者机构） 纠错

Comments Accepted to ACL 2025 (Main Conference)

UTBoost: Rigorous Evaluation of Coding Agents on SWE-Bench

Boxi Yu, Yuxuan Zhu, Pinjia He, Daniel Kang

机构 * The Chinese University of Hong Kong, Shenzhen（香港中文大学（深圳）） ； University of Illinois Urbana Champaign（伊利诺伊大学厄巴纳-香槟分校） 纠错

Journal ref ACL 2025

Can LLMs Ground when they (Don't) Know: A Study on Direct and Loaded Political Questions

Clara Lachenmaier, Judith Sieker, Sina Zarrieß

机构 * Computational Linguistics, Department of Linguistics Bielefeld University（语言学计算系，语言学系比勒菲尔德大学） 纠错

Comments Preprint accepted at ACL Main Conference 2025

Value Portrait: Assessing Language Models' Values through Psychometrically and Ecologically Valid Items

Jongwook Han, Dongmin Choi, Woojung Song, Eun-Ju Lee, Yohan Jo

Comments This paper has been accepted for publication at ACL 2025

Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering

Xinyu Tang, Xiaolei Wang, Zhihao Lv, Yingqian Min, Wayne Xin Zhao, Binbin Hu, Ziqi Liu, Zhiqiang Zhang

机构 * Gaoling School of Artificial Intelligence, Renmin University of China（中国人民大学北京校区人工智能学院） ； Ant Group（蚂蚁集团） 纠错

Comments ACL 2025

Measuring What Makes You Unique: Difference-Aware User Modeling for Enhancing LLM Personalization

Yilun Qiu, Xiaoyan Zhao, Yang Zhang, Yimeng Bai, Wenjie Wang, Hong Cheng, Fuli Feng, Tat-Seng Chua

机构 * National University of Singapore（新加坡国立大学） ； The Chinese University of Hong Kong（香港中文大学） ； University of Science and Technology of China（中国科学技术大学） 纠错

Comments 2025 ACL Findings

Revisiting Self-Consistency from Dynamic Distributional Alignment Perspective on Answer Aggregation

Yiwei Li, Ji Zhang, Shaoxiong Feng, Peiwen Yuan, Xinglin Wang, Jiayi Shi, Yueqi Zhang, Chuyi Tan, Boyuan Pan, Yao Hu, Kan Li

机构 * School of Computer Science, Beijing Institute of Technology（北京理工大学计算机学院） ； Xiaohongshu Inc（小红书公司） 纠错

Comments ACL 2025 Findings

AAD-LLM: Neural Attention-Driven Auditory Scene Understanding

Xilin Jiang, Sukru Samet Dindar, Vishal Choudhari, Stephan Bickel, Ashesh Mehta, Guy M McKhann, Daniel Friedman, Adeen Flinker, Nima Mesgarani

机构 * Department of Electrical Engineering（电气工程系） ； Department of Neurological Surgery（神经外科系） ； Mortimer B. Zuckerman Mind Brain Behavior Institute（莫提默·B·祖克曼心智-脑-行为研究所） ； Hofstra Northwell School of Medicine（霍夫曼斯特拉北well医学院） ； The Feinstein Institutes for Medical Research（费森特医学研究所） ； Neurology Department（神经病学系） 纠错

Comments Accepted by ACL 2025 Main Conference