ACL

Understanding In-Context Machine Translation for Low-Resource Languages: A Case Study on Manchu

Renhao Pei, Yihong Liu, Peiqin Lin, François Yvon, Hinrich Schütze

Comments ACL 2025

Token Pruning in Multimodal Large Language Models: Are We Solving the Right Problem?

Zichen Wen, Yifeng Gao, Weijia Li, Conghui He, Linfeng Zhang

机构 * Shanghai Jiao Tong University（上海交通大学） ； EPIC Lab, SJTU（EPIC实验室，SJTu） ； Shanghai AI Laboratory（上海人工智能实验室） ； Sun Yat-sen University（中山大学） 纠错

Comments ACL 2025 Findings

Unveiling Environmental Impacts of Large Language Model Serving: A Functional Unit View

Yanran Wu, Inez Hua, Yi Ding

机构 * Purdue University（普渡大学） 纠错

Comments 17 pages, 38 figures, Proceedings of the The 63rd Annual Meeting of the Association for Computational Linguistics, Vienna, Austria, July 27-August 1st, 2025

Multilingual Encoder Knows more than You Realize: Shared Weights Pretraining for Extremely Low-Resource Languages

Zeli Su, Ziyin Zhang, Guixian Xu, Jianing Liu, XU Han, Ting Zhang, Yushuang Dong

机构 * Key Laboratory of Ethnic Language Intelligent Analysis and Security Governance of MOE（民族语言智能分析与安全治理重点实验室） ； Minzu University of China（民族大学） ； Shanghai Jiao Tong University（上海交通大学） 纠错

Comments ACL 2025 camera-ready

Decomposed Opinion Summarization with Verified Aspect-Aware Modules

Miao Li, Jey Han Lau, Eduard Hovy, Mirella Lapata

Comments 37 pages, long paper, present at ACL 2025

Re-ranking Using Large Language Models for Mitigating Exposure to Harmful Content on Social Media Platforms

Rajvardhan Oak, Muhammad Haroon, Claire Jo, Magdalena Wojcieszak, Anshuman Chhabra

机构 * University of California, Davis（加州大学戴维斯分校） ； University of South Florida（佛罗里达州立大学） ； Microsoft Corporation（微软公司） 纠错

Comments Accepted to ACL 2025 Main Conference

Enhancing Automated Interpretability with Output-Centric Feature Descriptions

Yoav Gur-Arieh, Roy Mayan, Chen Agassy, Atticus Geiger, Mor Geva

机构 * Blavatnik School of Computer Science and AI（布拉瓦特尼克计算机科学与人工智能学院） ； Tel Aviv University（特拉维夫大学） ； Pr(Ai) 2 R Group（Pr(Ai) 2 R集团） 纠错

Comments Accepted to ACL 2025 Main Conference

VideoRAG: Retrieval-Augmented Generation over Video Corpus

Soyeong Jeong, Kangsan Kim, Jinheon Baek, Sung Ju Hwang

机构 * KAIST（韩国科学技术院） 纠错

Comments ACL Findings 2025

A Reality Check on Context Utilisation for Retrieval-Augmented Generation

Lovisa Hagström, Sara Vera Marjanović, Haeun Yu, Arnav Arora, Christina Lioma, Maria Maistro, Pepa Atanasova, Isabelle Augenstein

Comments Accepted at ACL 2025

SimGRAG: Leveraging Similar Subgraphs for Knowledge Graphs Driven Retrieval-Augmented Generation

Yuzheng Cai, Zhenyue Guo, Yiwen Pei, Wanrui Bian, Weiguo Zheng

机构 * Fudan University（复旦大学） 纠错

Comments accepted by ACL 2025 (Findings)

AntiLeakBench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge

Xiaobao Wu, Liangming Pan, Yuxi Xie, Ruiwen Zhou, Shuai Zhao, Yubo Ma, Mingzhe Du, Rui Mao, Anh Tuan Luu, William Yang Wang

机构 * Nanyang Technological University（南洋理工大学） ； University of California, Santa Barbara（加州大学圣芭芭拉分校） ； National University of Singapore（新加坡国立大学） ； Shanghai Jiao Tong University（上海交通大学） ； University of Arizona（亚利桑那大学） 纠错

Comments Accepted to ACL 2025 main conference. Code and data are at https://github.com/bobxwu/AntiLeakBench

EXIT: Context-Aware Extractive Compression for Enhancing Retrieval-Augmented Generation

Taeho Hwang, Sukmin Cho, Soyeong Jeong, Hoyun Song, SeungYoon Han, Jong C. Park

机构 * School of Computing（计算机学院） ； Graduate School of AI（人工智能研究生院） ； Korea Advanced Institute of Science and Technology（韩国科学技术院） 纠错

Comments Findings of ACL 2025

C$^2$LEVA: Toward Comprehensive and Contamination-Free Language Model Evaluation

Yanyang Li, Tin Long Wong, Cheung To Hung, Jianqiao Zhao, Duo Zheng, Ka Wai Liu, Michael R. Lyu, Liwei Wang

Comments Findings of ACL 2025; Project Page: https://github.com/LaVi-Lab/C2LEVA

Personality-Guided Code Generation Using Large Language Models

Yaoqi Guo, Zhenpeng Chen, Jie M. Zhang, Yang Liu, Yun Ma

机构 * Peking University（北京大学） ； Nanyang Technological University（南洋理工大学） ； King’s College London（伦敦大学国王学院） 纠错

Comments Accepted by the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025) Main Track

GraphNarrator: Generating Textual Explanations for Graph Neural Networks

Bo Pan, Zhen Xiong, Guanchen Wu, Zheng Zhang, Yifei Zhang, Liang Zhao

机构 * Emory University（埃默里大学） 纠错

Comments ACL 2025 (Main)

Graph of Records: Boosting Retrieval Augmented Generation for Long-context Summarization with Graphs

Haozhen Zhang, Tao Feng, Jiaxuan You

机构 * University of Illinois at Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校） 纠错

Comments Accepted by ACL 2025 Main. The code is available at https://github.com/ulab-uiuc/GoR

X-TURING: Towards an Enhanced and Efficient Turing Test for Long-Term Dialogue Agents

Weiqi Wu, Hongqiu Wu, Hai Zhao

机构 * School of Computer Science, Shanghai Jiao Tong University（上海交通大学计算机科学学院） 纠错

Comments Accepted to ACL 2025 Main Conference

$T^5Score$: A Methodology for Automatically Assessing the Quality of LLM Generated Multi-Document Topic Sets

Itamar Trainin, Omri Abend

机构 * The Hebrew University of Jerusalem（耶路撒冷希伯来大学） 纠错

Comments Published in the Findings of ACL 2025

Low-Rank Interconnected Adaptation across Layers

Yibo Zhong, Jinman Zhao, Yao Zhou

机构 * Sichuan University（四川大学） ； University of Toronto（多伦多大学） 纠错

Comments Accepted to ACL 2025 (findings, long paper)

CLEME2.0: Towards Interpretable Evaluation by Disentangling Edits for Grammatical Error Correction

Jingheng Ye, Zishan Xu, Yinghui Li, Linlin Song, Qingyu Zhou, Hai-Tao Zheng, Ying Shen, Wenhao Jiang, Hong-Gee Kim, Ruitong Liu, Xin Su, Zifei Shan

机构 * Tsinghua University（清华大学） ； Huazhong University of Science and Technology（华中科技大学） ； ByteDance Inc.（字节跳动公司） ； Peng Cheng Laboratory（鹏城实验室） ； Sun-Yat Sen University（孙中山大学） ； Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ)（广东人工智能与数字经济实验室（SZ）） ； Seoul National University（首尔国立大学） ； Tencent（腾讯） 纠错

Comments 19 pages, 12 tables, 3 figures. Accepted to ACL 2025 Main

mOSCAR: A Large-scale Multilingual and Multimodal Document-level Corpus

Matthieu Futeral, Armel Zebaze, Pedro Ortiz Suarez, Julien Abadji, Rémi Lacroix, Cordelia Schmid, Rachel Bawden, Benoît Sagot

机构 * Inria（法国国家信息与自动化技术研究院） ； Département d’informatique de l’ENS, CNRS, PSL Research University（巴黎高等师范学院计算机科学系、国家科学研究中心、巴黎综合理工研究学院） ； Institut du développement et des ressources en informatique scientifique, CNRS（科学信息发展与资源研究所、国家科学研究中心） ； Sorbonne Université（索邦大学） ； Common Crawl Foundation（Common Crawl基金会） ； Université Paris-Saclay（巴黎萨克雷大学） 纠错

Comments ACL 2025 (Findings)

ReflectionCoder: Learning from Reflection Sequence for Enhanced One-off Code Generation

Houxing Ren, Mingjie Zhan, Zhongyuan Wu, Aojun Zhou, Junting Pan, Hongsheng Li

Comments Accepted to ACL 2025 (main conference)

Sample-Efficient Human Evaluation of Large Language Models via Maximum Discrepancy Competition

Kehua Feng, Keyan Ding, Hongzhi Tan, Kede Ma, Zhihua Wang, Shuangquan Guo, Yuzhou Cheng, Ge Sun, Guozhou Zheng, Qiang Zhang, Huajun Chen

Comments 35 pages, 6 figures, Accepted by ACL 2025

Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models

Yi Luo, Zhenghao Lin, Yuhao Zhang, Jiashuo Sun, Chen Lin, Chengjin Xu, Xiangdong Su, Yelong Shen, Jian Guo, Yeyun Gong

机构 * XiaMen University（厦门大学） ； Yanshan University（雁山大学） ； IDEA Research（IDEA研究） ； Inner Mongolia University（内蒙古大学） ； Microsoft（微软） ； Microsoft Research Asia（微软亚洲研究院） 纠错

Comments Accepted to NAACL 2024 main conference

Journal ref Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

GuessArena: Guess Who I Am? A Self-Adaptive Framework for Evaluating LLMs in Domain-Specific Knowledge and Reasoning

Qingchen Yu, Zifan Zheng, Ding Chen, Simin Niu, Bo Tang, Feiyu Xiong, Zhiyu Li

机构 * MemTensor (Shanghai) Technology Co., Ltd.（MemTensor（上海）科技有限公司） ； University of Sydney（悉尼大学） ； Research Institute of China Telecom（中国电信研究院） ； Renmin University of China（中国人民大学） 纠错

Comments Accepted by ACL 2025

Less, but Better: Efficient Multilingual Expansion for LLMs via Layer-wise Mixture-of-Experts

Xue Zhang, Yunlong Liang, Fandong Meng, Songming Zhang, Yufeng Chen, Jinan Xu, Jie Zhou

机构 * Key Laboratory of Big Data & Artificial Intelligence in Transportation, (Beijing Jiaotong University), Ministry of Education（大数据与人工智能交通大数据实验室，北京交通大学，教育部） ； School of Computer Science and Technology, Beijing Jiaotong University, Beijing, China（计算机科学与技术学院，北京交通大学，北京，中国） ； Pattern Recognition Center, WeChat AI, Tencent Inc, China（模式识别中心，微信AI，腾讯公司，中国） 纠错

Comments ACL 2025 (Main), 16 pages, 5 figures, 11 tables

ClaimPKG: Enhancing Claim Verification via Pseudo-Subgraph Generation with Lightweight Specialized LLM

Hoang Pham, Thanh-Do Nguyen, Khac-Hoai Nam Bui

机构 * Viettel Artificial Intelligence and Data Services Center（越南 Viettel 人工智能与数据服务中心） 纠错

Comments Accepted by ACL 2025 findings

Journal ref ACL 2025

Adaptive Detoxification: Safeguarding General Capabilities of LLMs through Toxicity-Aware Knowledge Editing

Yifan Lu, Jing Li, Yigeng Zhou, Yihui Zhang, Wenya Wang, Xiucheng Li, Meishan Zhang, Fangming Liu, Jun Yu, Min Zhang

机构 * Harbin Institute of Technology, Shenzhen, China（哈尔滨工业大学（深圳）） ； Nanyang Technological University（南洋理工大学） ； Peng Cheng Laboratory（鹏城实验室） 纠错

Comments ACL 2025 Findings

Natural Language Processing in Support of Evidence-based Medicine: A Scoping Review

Zihan Xu, Haotian Ma, Gongbo Zhang, Yihao Ding, Chunhua Weng, Yifan Peng

机构 * Weill Cornell Medicine（韦尔·科恩医学中心） ； Columbia University（哥伦比亚大学） ； University of Sydney（悉尼大学） 纠错

Comments Accepted by ACL 2025 Findings

Reverse Preference Optimization for Complex Instruction Following

Xiang Huang, Ting-En Lin, Feiteng Fang, Yuchuan Wu, Hangyu Li, Yuzhong Qu, Fei Huang, Yongbin Li

机构 * Tongyi Lab（通义实验室） ； State Key Laboratory for Novel Software Technology（新型软件技术国家重点实验室） ； Nanjing University（南京大学） 纠错

Comments ACL 2025 Findings