ACL

Towards Better Multi-task Learning: A Framework for Optimizing Dataset Combinations in Large Language Models

Zaifu Zhan, Rui Zhang

机构 * Department of Electrical and Computer Engineering, University of Minnesota（电气与计算机工程系，明尼苏达大学） ； Division of Computational Health Sciences, Department of Surgery, University of Minnesota（计算健康科学部，外科系，明尼苏达大学） 纠错

Comments 14 pages, 5 figures, 4 tables

Journal ref Findings of the Association for Computational Linguistics: NAACL 2025

LLMs for Extremely Low-Resource Finno-Ugric Languages

Taido Purason, Hele-Andra Kuulmets, Mark Fishel

机构 * Institute of Computer Science University of Tartu（计算机科学研究所塔尔图大学） 纠错

Journal ref Findings of the Association for Computational Linguistics: NAACL 2025, pages 6677-6697

Boosting Summarization with Normalizing Flows and Aggressive Training

Yu Yang, Xiaotong Shen

Journal ref Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, Singapore. Association for Computational Linguistics

Iron Sharpens Iron: Defending Against Attacks in Machine-Generated Text Detection with Adversarial Training

Yuanfan Li, Zhaohan Zhang, Chengzhengxu Li, Chao Shen, Xiaoming Liu

机构 * Faculty of Electronic and Information Engineering, Xi’an Jiaotong University（电子与信息工程学院，西安交通大学） ； Queen Mary University of London（伦敦女王大学） 纠错

Comments Accepted by ACL 2025 Main Conference

Does Generative AI speak Nigerian-Pidgin?: Issues about Representativeness and Bias for Multilingualism in LLMs

David Ifeoluwa Adelani, A. Seza Doğruöz, Iyanuoluwa Shode, Anuoluwapo Aremu

机构 * Mila - Quebec AI Institute McGill University, Canada（魁北克AI研究所麦吉尔大学，加拿大） ； LT3, IDLab, Universiteit Gent（LT3，IDLab，根特大学） ； Bloomberg（彭博） ； University of Trento（特伦托大学） 纠错

Comments Accepted to NAACL 2025 (findings), please cite ACL anthology reference on https://aclanthology.org/2025.findings-naacl.85/

CoCo-Bench: A Comprehensive Code Benchmark For Multi-task Large Language Model Evaluation

Wenjing Yin, Tianze Sun, Yijiong Yu, Jiawei Fang, Guangyao Su, Jiancheng Wang, Zekun Wang, Wei Wang, Ran Chen, Ziyun Dai, Shuai Yuan, Menghang Dong, Peng Luo, Dong Cao, Da Lei, Yajun Zhang, Hao Chen, Xiang Ma, Yong Liu, Weifeng Liu, Yuanjian Xu, Ji Pei

Comments Submitted to ACL 2025. Under review

Team ACK at SemEval-2025 Task 2: Beyond Word-for-Word Machine Translation for English-Korean Pairs

Daniel Lee, Harsh Sharma, Jieun Han, Sunny Jeong, Alice Oh, Vered Shwartz

机构 * Adobe Inc.（Adobe公司） ； CU Boulder（科罗拉多大学博尔德分校） ； KAIST（韩国科学技术院） ； New York University（纽约大学） ； UBC（不列颠哥伦比亚大学） 纠错

Comments Accepted at SemEval-2025 Workshop (ACL 2025)

Cache & Distil: Optimising API Calls to Large Language Models

Guillem Ramírez, Matthias Lindemann, Alexandra Birch, Ivan Titov

机构 * ILCC, University of Edinburgh（ILCC、爱丁堡大学） ； ILLC, University of Amsterdam（ILLC、阿姆斯特丹大学） 纠错

Journal ref Findings of the Association for Computational Linguistics: ACL 2024

ChunkRAG: Novel LLM-Chunk Filtering Method for RAG Systems

Ishneet Sukhvinder Singh, Ritvik Aggarwal, Ibrahim Allahverdiyev, Muhammad Taha, Aslihan Akalin, Kevin Zhu, Sean O'Brien

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)

ZJUKLAB at SemEval-2025 Task 4: Unlearning via Model Merging

Haoming Xu, Shuxun Wang, Yanqiu Zhao, Yi Zhong, Ziyan Jiang, Ningyuan Zhao, Shumin Deng, Huajun Chen, Ningyu Zhang

机构 * Zhejiang University（浙江大学） ； National University of Singapore（新加坡国立大学） 纠错

Comments SemEval@ACL 2025

Understanding Epistemic Language with a Language-augmented Bayesian Theory of Mind

Lance Ying, Tan Zhi-Xuan, Lionel Wong, Vikash Mansinghka, Joshua B. Tenenbaum

Comments 23 pages; Published at the Transactions of the Association for Computational Linguistics (TACL); Presented at NAACL 2025

Tackling Social Bias against the Poor: A Dataset and Taxonomy on Aporophobia

Georgina Curto, Svetlana Kiritchenko, Muhammad Hammad Fahim Siddiqui, Isar Nejadgholi, Kathleen C. Fraser

Comments In Findings of the Association for Computational Linguistics: NAACL 2025

Citation-Enhanced Generation for LLM-based Chatbots

Weitao Li, Junkai Li, Weizhi Ma, Yang Liu

Journal ref Proc. 62nd ACL Vol. 1 Long Papers, Bangkok Thailand, pp. 1451-1466, 2024

Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning

Qiming Bao, Alex Yuxuan Peng, Zhenyun Deng, Wanjun Zhong, Gael Gendron, Timothy Pistotti, Neset Tan, Nathan Young, Yang Chen, Yonghua Zhu, Paul Denny, Michael Witbrock, Jiamou Liu

Comments 21 pages, 8 figures, the Findings of ACL 2024

ToxiCraft: A Novel Framework for Synthetic Generation of Harmful Information

Zheng Hui, Zhaoxiao Guo, Hang Zhao, Juanyong Duan, Congrui Huang

Comments EMNLP 2024

Journal ref In Findings of the Association for Computational Linguistics: EMNLP 2024, pages 16632-16647, Miami, Florida, USA. Association for Computational Linguistics

A Survey of the State of Explainable AI for Natural Language Processing

Marina Danilevsky, Kun Qian, Ranit Aharonov, Yannis Katsis, Ban Kawas, Prithviraj Sen

Comments To appear in AACL-IJCNLP 2020

Journal ref Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing 2020

Findings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora

Alex Warstadt, Aaron Mueller, Leshem Choshen, Ethan Wilcox, Chengxu Zhuang, Juan Ciro, Rafael Mosquera, Bhargavi Paranjape, Adina Williams, Tal Linzen, Ryan Cotterell

Comments Published in Proceedings of BabyLM. Please cite the published version on ACL anthology: http://aclanthology.org/2023.conll-babylm.1/

Journal ref 2023. In Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning, pages 1-34, Singapore. Association for Computational Linguistics

BUCA: A Binary Classification Approach to Unsupervised Commonsense Question Answering

Jie He, Simon Chi Lok U, Víctor Gutiérrez-Basulto, Jeff Z. Pan

Comments ACL 2023

CLEAR: Contrasting Textual Feedback with Experts and Amateurs for Reasoning

Andrew Rufail, Daniel Kim, Sean O'Brien, Kevin Zhu

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

LLM-A*: Large Language Model Enhanced Incremental Heuristic Search on Path Planning

Silin Meng, Yiwei Wang, Cheng-Fu Yang, Nanyun Peng, Kai-Wei Chang

Comments Findings of the Association for Computational Linguistics: EMNLP 2024

Enhancing Coreference Resolution with Pretrained Language Models: Bridging the Gap Between Syntax and Semantics

Xingzu Liu, Songhang deng, Mingbang Wang, Zhang Dong, Le Dai, Jiyuan Li, Ruilin Nong

Comments acl submission

End-to-End Dialog Neural Coreference Resolution: Balancing Efficiency and Accuracy in Large-Scale Systems

Zhang Dong, Songhang deng, Mingbang Wang, Le Dai, Jiyuan Li, Xingzu Liu, Ruilin Nong

Comments submission of acl 2025

Cross-Document Contextual Coreference Resolution in Knowledge Graphs

Zhang Dong, Mingbang Wang, Songhang deng, Le Dai, Jiyuan Li, Xingzu Liu, Ruilin Nong

Comments ACL 2025 Submission Version

REFIND at SemEval-2025 Task 3: Retrieval-Augmented Factuality Hallucination Detection in Large Language Models

DongGeon Lee, Hwanjo Yu

Comments Accepted to SemEval@ACL 2025

Automated Justification Production for Claim Veracity in Fact Checking: A Survey on Architectures and Approaches

Islam Eldifrawi, Shengrui Wang, Amine Trabelsi

Comments Accepted to ACL 2024 Main Conference

YaleNLP @ PerAnsSumm 2025: Multi-Perspective Integration via Mixture-of-Agents for Enhanced Healthcare QA Summarization

Dongsuk Jang, Alan Li, Arman Cohan

Comments Paper accepted at CL4HEALTH @ NAACL 2025: Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics

Prompting open-source and commercial language models for grammatical error correction of English learner text

Christopher Davis, Andrew Caines, Øistein Andersen, Shiva Taslimipoor, Helen Yannakoudakis, Zheng Yuan, Christopher Bryant, Marek Rei, Paula Buttery

Comments 8 pages with appendices; accepted to ACL Findings 2024

New Intent Discovery with Pre-training and Contrastive Learning

Yuwei Zhang, Haode Zhang, Li-Ming Zhan, Albert Y. S. Lam, Xiao-Ming Wu

Comments Accepted to ACL 2022; Modified Figure 2

Evaluating Structural Generalization in Neural Machine Translation

Ryoma Kumon, Daiki Matsuoka, Hitomi Yanaka

Comments To appear at ACL 2024 findings

The Hidden Space of Safety: Understanding Preference-Tuned LLMs in Multilingual context

Nikhil Verma, Manasa Bharadwaj

Comments 14 pages, 11 Figures, 2 Tables, currently under review at ACL 2025