ACL

Multi-perspective Alignment for Increasing Naturalness in Neural Machine Translation

Huiyuan Lai, Esther Ploeger, Rik van Noord, Antonio Toral

机构 * CLCG, University of Groningen（格罗宁根大学CLCG） ； Department of Computer Science, Aalborg University（奥尔堡大学计算机科学系） ； Departament de Llenguatges i Sistemes Informàtics, Universitat d’Alacant（阿莱康特大学语言与信息系统系） 纠错

Comments Accepted to ACL 2025 main; 9 pages

DEMO: Reframing Dialogue Interaction with Fine-grained Element Modeling

Minzheng Wang, Xinghua Zhang, Kun Chen, Nan Xu, Haiyang Yu, Fei Huang, Wenji Mao, Yongbin Li

机构 * School of Artificial Intelligence, University of Chinese Academy of Sciences（中国科学院大学人工智能学院） ； MAIS, Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所MAIS） ； Tongyi Lab, Alibaba Group（阿里巴巴集团通义实验室） 纠错

Comments ACL 2025 Findings. We release the code and data at https://github.com/MozerWang/DEMO

Let's Be Self-generated via Step by Step: A Curriculum Learning Approach to Automated Reasoning with Large Language Models

Kangyang Luo, Zichen Ding, Zhenmin Weng, Lingfeng Qiao, Meng Zhao, Xiang Li, Di Yin, Jinlong Shu

机构 * East China Normal University（东华大学） ； Youtu Lab, Tencent（腾讯优图实验室） ； Shanghai Normal University（上海师范大学） 纠错

Comments Accepted by ACL2025(Findings)

From Citations to Criticality: Predicting Legal Decision Influence in the Multilingual Swiss Jurisprudence

Ronja Stern, Ken Kawamura, Matthias Stürmer, Ilias Chalkidis, Joel Niklaus

机构 * University of Bern（伯尔尼大学） ； Bern University of Applied Sciences（伯尔尼应用科学大学） ； Stanford University（斯坦福大学） ； University of Copenhagen（哥本哈根大学） 纠错

Comments Accepted to ACL main 2025

Building Better: Avoiding Pitfalls in Developing Language Resources when Data is Scarce

Nedjma Ousidhoum, Meriem Beloucif, Saif M. Mohammad

机构 * Cardiff University（卡迪夫大学） ； Uppsala University（乌普萨拉大学） ； National Research Council Canada（加拿大国家研究理事会） 纠错

Comments Accepted at ACL2025 (Main)

Can Large Language Models Address Open-Target Stance Detection?

Abu Ubaida Akash, Ahmed Fahmy, Amine Trabelsi

机构 * Department of Computer Science, Université de Sherbrooke（计算机科学系，Sherbrooke大学） 纠错

Comments Accepted; ACL 2025 (Findings)

LlamaDuo: LLMOps Pipeline for Seamless Migration from Service LLMs to Small-Scale Local LLMs

Chansung Park, Juyong Jiang, Fan Wang, Sayak Paul, Jing Tang

机构 * Electronics and Telecommunications Research Institute（电子电信研究院） ； 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） ； Hugging Face 纠错

Comments The first three authors contributed equally to this work; Accepted by ACL 2025 (Main)

Graph-guided Cross-composition Feature Disentanglement for Compositional Zero-shot Learning

Yuxia Geng, Runkai Zhu, Jiaoyan Chen, Jintai Chen, Xiang Chen, Zhuo Chen, Shuofei Qiao, Yuxiang Wang, Xiaoliang Xu, Sheng-Jun Huang

机构 * PowerChina Huadong Engineering Corporation Limited（国家电力投资集团华东工程公司） ； Hangzhou Dianzi University（杭州电子科技大学） ； The University of Manchester（曼彻斯特大学） ； The Hong Kong University of Science and Technology (Guangzhou)（香港科技大学（广州）） ； Nanjing University of Aeronautics and Astronautics（南京航空航天大学） ； Zhejiang University（浙江大学） 纠错

Comments Accepted in ACL 2025 findings

Reefknot: A Comprehensive Benchmark for Relation Hallucination Evaluation, Analysis and Mitigation in Multimodal Large Language Models

Kening Zheng, Junkai Chen, Yibo Yan, Xin Zou, Xuming Hu

机构 * Hong Kong University of Science and Technology (Guangzhou)（香港科学与技术大学（广州）） ； Guangxi Zhuang Autonomous Region Big Data Research Institute（广西壮族自治区大数据研究院） 纠错

Comments Accepted by Findings of ACL 2025

Modular Sentence Encoders: Separating Language Specialization from Cross-Lingual Alignment

Yongxin Huang, Kexin Wang, Goran Glavaš, Iryna Gurevych

机构 * Ubiquitous Knowledge Processing Lab (UKP Lab) Department of Computer Science Technical University of Darmstadt and National Research Center for Applied Cybersecurity ATHENE, Germany（技术大学达姆施塔特计算机科学系通用知识处理实验室（UKP实验室）和应用网络安全国家研究中心ATHENE德国） ； Center for AI and Data Science, University of Würzburg（人工智能与数据科学中心，乌尔姆大学） 纠错

Comments Accepted for ACL 2025 main conference

Exploiting Dialect Identification in Automatic Dialectal Text Normalization

Bashar Alhafni, Sarah Al-Towaity, Ziyad Fawzy, Fatema Nassar, Fadhl Eryani, Houda Bouamor, Nizar Habash

机构 * Computational Approaches to Modeling Language Lab（语言建模计算方法实验室） ； New York University Abu Dhabi（纽约大学迪拜分校） ； Carnegie Mellon University in Qatar（卡内基梅隆大学多哈分校） 纠错

Comments Accepted to ArabicNLP 2024, ACL

Evaluating Visual and Cultural Interpretation: The K-Viscuit Benchmark with Human-VLM Collaboration

ChaeHun Park, Yujin Baek, Jaeseok Kim, Yu-Jung Heo, Du-Seong Chang, Jaegul Choo

机构 * KAIST AI（韩国科学技术院人工智能研究所） ； KT Corporation（KT公司） ； Sogang Univ.（ソガン大学） 纠错

Comments ACL 2025 camera-ready

Efficient Universal Goal Hijacking with Semantics-guided Prompt Organization

Yihao Huang, Chong Wang, Xiaojun Jia, Qing Guo, Felix Juefei-Xu, Jian Zhang, Geguang Pu, Yang Liu

机构 * Nanyang Technological University, Singapore（南洋理工大学） ； CFAR and IHPC, Agency for Science, Technology and Research (A*STAR), Singapore（CFAR和IHPC，新加坡科技研究局） ； New York University, USA（纽约大学） ； East China Normal University, China（华东师范大学） 纠错

Comments accepted by ACL 2025

Model Extrapolation Expedites Alignment

Chujie Zheng, Ziqi Wang, Heng Ji, Minlie Huang, Nanyun Peng

机构 * The CoAI Group, DCST, BNRist, Tsinghua University（清华大学） 纠错

Comments ACL 2025

An Empirical Study of LLM-as-a-Judge for LLM Evaluation: Fine-tuned Judge Model is not a General Substitute for GPT-4

Hui Huang, Xingyuan Bu, Hongli Zhou, Yingqi Qu, Jing Liu, Muyun Yang, Bing Xu, Tiejun Zhao

机构 * Faculty of Computing, Harbin Institute of Technology（哈尔滨工业大学计算机学院） ； School of Computer Science, Beijing Institute of Technology（北京理工大学计算机学院） ； Baidu Inc.（百度公司） 纠错

Comments Accepted to Findings of ACL2025

Contrastive Perplexity for Controlled Generation: An Application in Detoxifying Large Language Models

Tassilo Klein, Moin Nabi

机构 * SAP SE（SAP股份有限公司） 纠错

Comments Accepted to ACL 2025 (Main Track)

Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis

Hong Huang, Dapeng Wu

Comments Accepted by ACL 2025

iAgent: LLM Agent as a Shield between User and Recommender Systems

Wujiang Xu, Yunxiao Shi, Zujie Liang, Xuying Ning, Kai Mei, Kun Wang, Xi Zhu, Min Xu, Yongfeng Zhang

机构 * Rutgers University（罗格斯大学） ； University of Technology Sydney（悉尼技术大学） ； University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校） ； Nanyang Technological University（南洋理工大学） 纠错

Comments Findings of ACL 2025 and WWW2025@HCRS

LLM Agents Making Agent Tools

Georg Wölflein, Dyke Ferber, Daniel Truhn, Ognjen Arandjelović, Jakob Nikolas Kather

Comments Accepted at ACL 2025

BanStereoSet: A Dataset to Measure Stereotypical Social Biases in LLMs for Bangla

Mahammed Kamruzzaman, Abdullah Al Monsur, Shrabon Das, Enamul Hassan, Gene Louis Kim

机构 * University of South Florida（佛罗里达州立大学） ； North South University（北南大学） 纠错

Comments Accepted at ACL-2025

VF-Eval: Evaluating Multimodal LLMs for Generating Feedback on AIGC Videos

Tingyu Song, Tongyan Hu, Guo Gan, Yilun Zhao

机构 * School of Advanced Interdisciplinary Sciences, University of Chinese Academy of Sciences（中国科学院大学先进交叉学科学院） ； National University of Singapore（新加坡国立大学） ； Zhejiang University（浙江大学） ； Yale University（耶鲁大学） 纠错

Comments ACL 2025 Main

GeNRe: A French Gender-Neutral Rewriting System Using Collective Nouns

Enzo Doyen, Amalia Todirascu

机构 * University of Strasbourg（斯特拉斯堡大学） 纠错

Comments Accepted to ACL 2025 Findings; 9 pages, 2 figures

Merge Hijacking: Backdoor Attacks to Model Merging of Large Language Models

Zenghui Yuan, Yangming Xu, Jiawen Shi, Pan Zhou, Lichao Sun

Comments This paper is accepted by ACL 2025 main conference

Probability-Consistent Preference Optimization for Enhanced LLM Reasoning

Yunqiao Yang, Houxing Ren, Zimu Lu, Ke Wang, Weikang Shi, Aojun Zhou, Junting Pan, Mingjie Zhan, Hongsheng Li

机构 * CUHK MMLab（香港中文大学MML实验室） ； SenseTime Research（商汤科技研究院） ； CPII under InnoHK（创新香港下的CPII） ； Shanghai AI Laboratory（上海人工智能实验室） ； Zhiyuan College, SJTU（上海交通大学智远学院） 纠错

Comments 14 pages, to be published in ACL 2025 findings

CLaC at SemEval-2025 Task 6: A Multi-Architecture Approach for Corporate Environmental Promise Verification

Nawar Turk, Eeham Khan, Leila Kosseim

机构 * Computational Linguistics at Concordia (CLaC) Laboratory（康卡迪亚大学计算语言学实验室） ； Department of Computer Science and Software Engineering（计算机科学与软件工程系） ； Concordia University（康卡迪亚大学） 纠错

Comments Accepted to SemEval-2025 Task 6 (ACL 2025)

UAQFact: Evaluating Factual Knowledge Utilization of LLMs on Unanswerable Questions

Chuanyuan Tan, Wenbiao Shao, Hao Xiong, Tong Zhu, Zhenhua Liu, Kai Shi, Wenliang Chen

机构 * School of Computer Science and Technology, Soochow University（苏州大学计算机科学与技术学院） ； OPPO AI Center（OPPO人工智能中心） 纠错

Comments ACL 2025 Findings

How Does Response Length Affect Long-Form Factuality

James Xu Zhao, Jimmy Z. J. Liu, Bryan Hooi, See-Kiong Ng

Comments ACL 2025 Findings. 24 pages, 10 figures, 18 tables. Code available at https://github.com/XuZhao0/length-bias-factuality

Map&Make: Schema Guided Text to Table Generation

Naman Ahuja, Fenil Bardoliya, Chitta Baral, Vivek Gupta

Comments Accepted to ACL 2025

ZIPA: A family of efficient models for multilingual phone recognition

Jian Zhu, Farhan Samir, Eleanor Chodroff, David R. Mortensen

机构 * University of British Columbia（不列颠哥伦比亚大学） ； University of Zurich（苏黎世大学） ； Carnegie Mellon University（卡内基梅隆大学） 纠错

Comments ACL 2025 Main

Tell, Don't Show: Leveraging Language Models' Abstractive Retellings to Model Literary Themes

Li Lucy, Camilla Griffiths, Sarah Levine, Jennifer L. Eberhardt, Dorottya Demszky, David Bamman

机构 * University of California Berkeley（加州大学伯克利分校） ； Stanford University（斯坦福大学） 纠错

Comments 26 pages, 7 figures, Findings of ACL 2025