ACL

GenKnowSub: Improving Modularity and Reusability of LLMs through General Knowledge Subtraction

Mohammadtaha Bagherifard, Sahar Rajabi, Ali Edalat, Yadollah Yaghoobzadeh

机构 * School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran（伊朗德黑兰大学电气与计算机工程学院） ； Tehran Institute for Advanced Studies, Khatam University, Tehran, Iran（德黑兰高级研究学院） 纠错

Comments Accepted to ACL 2025 (main conference, short paper), 10 pages

Dynamic Order Template Prediction for Generative Aspect-Based Sentiment Analysis

Yonghyun Jun, Hwanhee Lee

机构 * Department of Artificial Intelligence, Chung-Ang University（人工智能系， Chung-Ang 大学） 纠错

Comments ACL 2025 Main

Observing Dialogue in Therapy: Categorizing and Forecasting Behavioral Codes

Jie Cao, Michael Tanana, Zac E. Imel, Eric Poitras, David C. Atkins, Vivek Srikumar

Comments Accepted to ACL 2019

TripTailor: A Real-World Benchmark for Personalized Travel Planning

Yuanzhe Shen, Kaimin Wang, Changze Lv, Xiaoqing Zheng, Xuanjing Huang

机构 * School of Computer Science, Fudan University（复旦大学计算机科学学院） 纠错

Comments Accepted to ACL 2025 Findings

CSIRO-LT at SemEval-2025 Task 11: Adapting LLMs for Emotion Recognition for Multiple Languages

Jiyu Chen, Necva Bölücü, Sarvnaz Karimi, Diego Mollá, Cécile L. Paris

机构 * CSIRO Data61（CSIRO数据61研究所） ； Macquarie University（麦考瑞大学） 纠错

Comments In Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025), Vienna, Austria. Association for Computational Linguistics

Ref-Long: Benchmarking the Long-context Referencing Capability of Long-context Language Models

Junjie Wu, Gefei Gu, Yanan Zheng, Dit-Yan Yeung, Arman Cohan

机构 * Hong Kong University of Science and Technology（香港理工大学） ； Carnegie Mellon University（卡内基梅隆大学） ； Yale University（耶鲁大学） 纠错

Comments ACL 2025 Main Conference. First 2 authors contributed equally. Project webpage: https://wujunjie1998.github.io/Ref-Long-website/

ChartEdit: How Far Are MLLMs From Automating Chart Analysis? Evaluating MLLMs' Capability via Chart Editing

Xuanle Zhao, Xuexin Liu, Haoyue Yang, Xianzhen Luo, Fanhu Zeng, Jianling Li, Qi Shi, Chi Chen

机构 * Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所） ； Harbin Institute of Technology（哈尔滨工业大学） ； Tianjin University（天津大学） ； Tsinghua University（清华大学） 纠错

Comments Accepted by ACL2025 Findings, camera-ready version

CodeIF: Benchmarking the Instruction-Following Capabilities of Large Language Models for Code Generation

Kaiwen Yan, Hongcheng Guo, Xuanqing Shi, Shaosheng Cao, Donglin Di, Zhoujun Li

机构 * Beihang University（北航大学） ； Tsinghua University（清华大学） ； Xiaohongshu（小红书） 纠错

Comments Accepted as an ACL 2025 Industry Track paper (15 pages)

Rethinking Table Instruction Tuning

Naihao Deng, Rada Mihalcea

机构 * University of Michigan（密歇根大学） 纠错

Comments Accepted to ACL 2025 Findings. Updates: 07/2025: We release the TAMA-QWen2.5 and TAMA-QWen3 models. 06/2025: We release our project page: https://lit.eecs.umich.edu/TAMA/, code: https://github.com/MichiganNLP/TAMA, huggingface models: https://huggingface.co/collections/MichiganNLP/tama-684eeb3e7f262362856eccd1, and data: https://huggingface.co/datasets/MichiganNLP/TAMA_Instruct

Tree-of-Code: A Tree-Structured Exploring Framework for End-to-End Code Generation and Execution in Complex Task Handling

Ziyi Ni, Yifan Li, Ning Yang, Dou Shen, Pin Lv, Daxiang Dong

机构 * The Key Laboratory of Cognition and Decision Intelligence for Complex Systems, Institute of Automation, Chinese Academy of Sciences（认知与决策智能复杂系统重点实验室，自动化研究所，中国科学院） ； School of Artificial Intelligence, University of Chinese Academy of Science（人工智能学院，中国科学院大学） ； Baidu, Inc.（百度公司） ； Global Innovation Exchange Institution, Tsinghua University（全球创新交换机构，清华大学） 纠错

Comments This idea was first submitted to the NeuralPS Workshop "System 2 Reasoning At Scale" in September 2024. Its OpenReview: https://openreview.net/forum?id=8NKAL8Ngxk&noteId=8NKAL8Ngxk. It was then submitted to the NAACL 2025 in October 2024, which is recorded in: https://openreview.net/forum?id=S0ZUWD3Vy5&noteId=S0ZUWD3Vy5. Now this paper has been accepted for publication in ACL 2025 Findings

Libra: Leveraging Temporal Images for Biomedical Radiology Analysis

Xi Zhang, Zaiqiao Meng, Jake Lever, Edmond S. L. Ho

机构 * Information Retrieval Group（信息检索组） ； AI4BioMed Lab（AI4BioMed实验室） ； School of Computing Science（计算科学学院） ； University of Glasgow（格拉斯哥大学） 纠错

Comments 30 pages, 5 figures, Adding Appendix

Journal ref Association for Computational Linguistics, 2025

CheXalign: Preference fine-tuning in chest X-ray interpretation models without human feedback

Dennis Hein, Zhihong Chen, Sophie Ostmeier, Justin Xu, Maya Varma, Eduardo Pontes Reis, Arne Edward Michalson, Christian Bluethgen, Hyun Joo Shin, Curtis Langlotz, Akshay S Chaudhari

机构 * Stanford University（斯坦福大学） ； University of Oxford（牛津大学） ； University Hospital Zurich, University of Zurich（苏黎世大学医院、苏黎世大学） ； Yongin Severance Hospital, Yonsei University（永临松医院、延世大学） 纠错

Comments ACL 2025

Learning from Negative Samples in Biomedical Generative Entity Linking

Chanhwi Kim, Hyunjae Kim, Sihyeon Park, Jiwoo Lee, Mujeen Sung, Jaewoo Kang

机构 * Korea University（韩国大学） ； Kyung Hee University（庆熙大学） ； AIGEN Sciences（AIGEN公司） 纠错

Comments ACL 2025 (Findings)