ACL

Evaluating the Evaluation of Diversity in Commonsense Generation

Tianhui Zhang, Bei Peng, Danushka Bollegala

机构 * University of Liverpool（利物浦大学） 纠错

Comments ACL 2025 Main

Exploring In-context Example Generation for Machine Translation

Dohyun Lee, Seungil Chad Lee, Chanwoo Yang, Yujin Baek, Jaegul Choo

机构 * KAIST AI（韩国科学技术院人工智能研究所） ； Jeonbuk National University（全州国立大学） 纠错

Comments Accepted to ACL 2025 Findings

Automated Structured Radiology Report Generation

Jean-Benoit Delbrouck, Justin Xu, Johannes Moll, Alois Thomas, Zhihong Chen, Sophie Ostmeier, Asfandyar Azhar, Kelvin Zhenghao Li, Andrew Johnston, Christian Bluethgen, Eduardo Reis, Mohamed Muneer, Maya Varma, Curtis Langlotz

机构 * Stanford AIMI（斯坦福AIMI） 纠错

Comments Accepted to ACL Main 2025

ScEdit: Script-based Assessment of Knowledge Editing

Xinye Li, Zunwen Zheng, Qian Zhang, Dekai Zhuang, Jiabao Kang, Liyan Xu, Qingbin Liu, Xi Chen, Zhiying Tu, Dianhui Chu, Dianbo Sui

机构 * Harbin Institute of Technology（哈尔滨工业大学） ； Jilin University（吉林大学） ； Tencent（腾讯） 纠错

Comments ACL 2025 Findings

A Fully Generative Motivational Interviewing Counsellor Chatbot for Moving Smokers Towards the Decision to Quit

Zafarullah Mahmood, Soliman Ali, Jiading Zhu, Mohamed Abdelwahab, Michelle Yu Collins, Sihan Chen, Yi Cheng Zhao, Jodi Wolff, Osnat Melamed, Nadia Minian, Marta Maslej, Carolynne Cooper, Matt Ratto, Peter Selby, Jonathan Rose

机构 * University of Toronto（多伦多大学） ； Centre for Addiction and Mental Health（成瘾与心理健康中心） 纠错

Comments To be published in the Findings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL), Vienna, Austria, 2025

HyGenar: An LLM-Driven Hybrid Genetic Algorithm for Few-Shot Grammar Generation

Weizhi Tang, Yixuan Li, Chris Sypherd, Elizabeth Polgreen, Vaishak Belle

机构 * University of Edinburgh（爱丁堡大学） 纠错

Comments Accepted to ACL 2025 Findings. Code available at https://github.com/RutaTang/HyGenar

TRATES: Trait-Specific Rubric-Assisted Cross-Prompt Essay Scoring

Sohaila Eltanbouly, Salam Albatarni, Tamer Elsayed

机构 * Computer Science and Engineering Department, Qatar University（计算机科学与工程系，卡塔尔大学） 纠错

Comments Accepted at ACL 2025 Findings

RADAR: Enhancing Radiology Report Generation with Supplementary Knowledge Injection

Wenjun Hou, Yi Cheng, Kaishuai Xu, Heng Li, Yan Hu, Wenjie Li, Jiang Liu

机构 * Department of Computing, The Hong Kong Polytechnic University（香港理工大学计算机系） ； Research Institute of Trustworthy Autonomous Systems and Department of Computer Science and Engineering, Southern University of Science and Technology（南方科技大学可信自主系统研究院和计算机科学与工程系） ； School of Computer Science, University of Nottingham Ningbo China（宁波大学计算机学院） 纠错

Comments Accepted to ACL 2025 main

Rank, Chunk and Expand: Lineage-Oriented Reasoning for Taxonomy Expansion

Sahil Mishra, Kumar Arjun, Tanmoy Chakraborty

机构 * Department of Electrical Engineering, IIT Delhi（印度理工学院德里电气工程系） ； Department of Mathematics, IIT Delhi（印度理工学院德里数学系） 纠错

Comments Accepted in the Findings of ACL 2025

A Case Study of Cross-Lingual Zero-Shot Generalization for Classical Languages in LLMs

V. S. D. S. Mahesh Akavarapu, Hrishikesh Terdalkar, Pramit Bhattacharyya, Shubhangi Agarwal, Vishakha Deulgaonkar, Pralay Manna, Chaitali Dangarikar, Arnab Bhattacharya

机构 * University of Tübingen（图宾根大学） ； University of Lyon 1（里昂大学第一分校） ； Indian Institute of Technology Kanpur（印度理工学院坎普尔分校） 纠错

Comments Accepted to ACL 2025 Findings

What is Stigma Attributed to? A Theory-Grounded, Expert-Annotated Interview Corpus for Demystifying Mental-Health Stigma

Han Meng, Yancan Chen, Yunan Li, Yitian Yang, Jungup Lee, Renwen Zhang, Yi-Chieh Lee

Comments Accepted to ACL 2025 Main Conference, 38 Pages

Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning

Shaobo Wang, Xiangqi Jin, Ziming Wang, Jize Wang, Jiajun Zhang, Kaixin Li, Zichen Wen, Zhong Li, Conghui He, Xuming Hu, Linfeng Zhang

机构 * Shanghai Jiao Tong University（上海交通大学） ； EPIC Lab, SJTU（SJTu EPIC 实验室） ； Nanyang Technological University（南洋理工大学） ； National University of Singapore（新加坡国立大学） ； Microsoft Research Asia（微软亚洲研究院） ； Shanghai AI Laboratory（上海人工智能实验室） ； Hong Kong University of Science and Technology (Guangzhou)（香港科技大学（广州）） 纠错

Comments Accepted by ACL 2025 main, 18 pages, 8 figures, 6 tables

Disambiguating Reference in Visually Grounded Dialogues through Joint Modeling of Textual and Multimodal Semantic Structures

Shun Inadumi, Nobuhiro Ueda, Koichiro Yoshino

机构 * Nara Institute of Science and Technology（奈良科学技術研究所） ； Guardian Robot Project（守護機器人計劃） ； RIKEN（理化学研究所） ； Kyoto University（京都大學） ； Institute of Science Tokyo（東京科學研究院） 纠错

Comments ACL2025 main. Code available at https://github.com/SInadumi/mmrr

SynWorld: Virtual Scenario Synthesis for Agentic Action Knowledge Refinement

Runnan Fang, Xiaobin Wang, Yuan Liang, Shuofei Qiao, Jialong Wu, Zekun Xi, Ningyu Zhang, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen

机构 * Zhejiang University（浙江大学） ； Alibaba Group（阿里巴巴集团） ； 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 ACL 2025

A Conformal Risk Control Framework for Granular Word Assessment and Uncertainty Calibration of CLIPScore Quality Estimates

Gonçalo Gomes, Bruno Martins, Chrysoula Zerva

机构 * Instituto Superior Técnico, University of Lisbon（里斯本大学技术高级学院） ； INESC-ID ； Instituto de Telecomunicações（电信研究所） 纠错

Comments Accepted at Findings ACL 2025

CodeReviewQA: The Code Review Comprehension Assessment for Large Language Models

Hong Yi Lin, Chunhua Liu, Haoyu Gao, Patanamon Thongtanunam, Christoph Treude

机构 * The University of Melbourne（墨尔本大学） ； Singapore Management University（新加坡管理学院） 纠错

Comments The paper is published in Findings of the Association for Computational Linguistics (ACL 2025)

Navigating Rifts in Human-LLM Grounding: Study and Benchmark

Omar Shaikh, Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz

机构 * Stanford University（斯坦福大学） ； Microsoft Research（微软研究院） 纠错

Comments ACL 2025, 16 pages, 5 figures

ClusComp: A Simple Paradigm for Model Compression and Efficient Finetuning

Baohao Liao, Christian Herold, Seyyed Hadi Hashemi, Stefan Vasilev, Shahram Khadivi, Christof Monz

机构 * Language Technology Lab, University of Amsterdam（阿姆斯特丹大学语言技术实验室） ； eBay Inc.（eBay公司） 纠错

Comments ACL camera-ready version

Why Prompt Design Matters and Works: A Complexity Analysis of Prompt Search Space in LLMs

Xiang Zhang, Juntai Cao, Jiaqi Wei, Chenyu You, Dujian Ding

Comments ACL 2025 main conference

Implicit Reasoning in Transformers is Reasoning through Shortcuts

Tianhe Lin, Jian Xie, Siyu Yuan, Deqing Yang

Comments ACL 2025 Findings

Beyond Decoder-only: Large Language Models Can be Good Encoders for Machine Translation

Yingfeng Luo, Tong Zheng, Yongyu Mu, Bei Li, Qinghong Zhang, Yongqi Gao, Ziqiang Xu, Peinan Feng, Xiaoqian Liu, Tong Xiao, Jingbo Zhu

机构 * NLP Lab, Northeastern University, Shenyang, China（东北大学自然语言处理实验室） ； NiuTrans Research, Shenyang, China（NiuTrans研究院） 纠错

Comments Accepted to ACL Findings 2025. Please cite the ACL version. Code and data are available at: https://github.com/NiuTrans/LaMaTE

Wanda++: Pruning Large Language Models via Regional Gradients

Yifan Yang, Kai Zhen, Bhavana Ganesh, Aram Galstyan, Goeric Huybrechts, Markus Müller, Jonas M. Kübler, Rupak Vignesh Swaminathan, Athanasios Mouchtaris, Sravan Babu Bodapati, Nathan Susanj, Zheng Zhang, Jack FitzGerald, Abhishek Kumar

机构 * University of California, Santa Barbara（加州大学圣芭芭拉分校） ； Amazon AGI（亚马逊人工智能研究院） 纠错

Comments Paper accepted at ACL 2025 Findings

EnigmaToM: Improve LLMs' Theory-of-Mind Reasoning Capabilities with Neural Knowledge Base of Entity States

Hainiu Xu, Siya Qi, Jiazheng Li, Yuxiang Zhou, Jinhua Du, Caroline Catmur, Yulan He

Comments Findings of ACL 2025

MMSciBench: Benchmarking Language Models on Chinese Multimodal Scientific Problems

Xinwu Ye, Chengfan Li, Siming Chen, Wei Wei, Xiangru Tang

机构 * Department of Computer Science, Yale University（耶鲁大学计算机科学系） ； Department of Computer Science, Brown University（布朗大学计算机科学系） ； School of Data Science, Fudan University（复旦大学数据科学学院） ； Shanghai Key Laboratory of Data Science（上海数据科学关键实验室） ； Datawiz LLC 纠错

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

MiLiC-Eval: Benchmarking Multilingual LLMs for China's Minority Languages

Chen Zhang, Mingxu Tao, Zhiyuan Liao, Yansong Feng

机构 * Wangxuan Institute of Computer Technology, Peking University（北京大学计算机科学技术研究院） 纠错

Comments ACL 2025 (Findings) Code and data available at https://github.com/luciusssss/MiLiC-Eval

FINEREASON: Evaluating and Improving LLMs' Deliberate Reasoning through Reflective Puzzle Solving

Guizhen Chen, Weiwen Xu, Hao Zhang, Hou Pong Chan, Chaoqun Liu, Lidong Bing, Deli Zhao, Anh Tuan Luu, Yu Rong

机构 * Nanyang Technological University（南洋理工大学） ； DAMO Academy, Alibaba Group（阿里达摩院） ； Hupan Lab（虎扑实验室） 纠错

Comments Accepted to ACL2025 Main

EdiText: Controllable Coarse-to-Fine Text Editing with Diffusion Language Models

Che Hyun Lee, Heeseung Kim, Jiheum Yeom, Sungroh Yoon

机构 * Department of Electrical and Computer Engineering, Seoul National University（电子与计算机工程系，首尔国立大学） ； AIIS, ASRI, INMC, ISRC, and IPAI, Seoul National University（人工智能研究所、先进系统研究室、智能网络中心、信息科学研究中心和人工智能计划，首尔国立大学） 纠错

Comments ACL 2025

Tokens for Learning, Tokens for Unlearning: Mitigating Membership Inference Attacks in Large Language Models via Dual-Purpose Training

Toan Tran, Ruixuan Liu, Li Xiong

机构 * Emory University（埃默里大学） 纠错

Comments ACL'25 (Findings)

Mapping 1,000+ Language Models via the Log-Likelihood Vector

Momose Oyama, Hiroaki Yamagiwa, Yusuke Takase, Hidetoshi Shimodaira

机构 * Kyoto University（京都大学） ； RIKEN（理化学研究所） 纠错

Comments ACL 2025

Middle-Layer Representation Alignment for Cross-Lingual Transfer in Fine-Tuned LLMs

Danni Liu, Jan Niehues

机构 * Karlsruhe Institute of Technology（卡尔斯鲁厄理工学院） 纠错

Comments ACL 2025