ACL

Early Detection and Reduction of Memorisation for Domain Adaptation and Instruction Tuning

Dean L. Slack, Noura Al Moubayed

机构 * Durham University（杜伦大学） 纠错

Comments Accepted to Transactions of the ACL (TACL), 2025. 15 pages, 6 figures, 3 tables

HiligayNER: A Baseline Named Entity Recognition Model for Hiligaynon

James Ald Teves, Ray Daniel Cal, Josh Magdiel Villaluz, Jean Malolos, Mico Magtira, Ramon Rodriguez, Mideth Abisado, Joseph Marvin Imperial

机构 * Silliman University（锡利曼大学） ； National University Philippines（菲律宾国家大学） 纠错

Comments Camera-ready for PACLIC 2025 (ACL Proceedings)

MFTCXplain: A Multilingual Benchmark Dataset for Evaluating the Moral Reasoning of LLMs through Multi-hop Hate Speech Explanation

Jackson Trager, Francielle Vargas, Diego Alves, Matteo Guida, Mikel K. Ngueajio, Ameeta Agrawal, Yalda Daryani, Farzan Karimi-Malekabadi, Flor Miriam Plaza-del-Arco

机构 * University of Southern California（南加州大学） ； São Paulo State University（圣保罗州立大学） ； Saarland University（萨尔兰大学） ； University of Melbourne（墨尔本大学） ； Howard University（霍华德大学） ； Portland State University（波特兰州立大学） ； Leiden University（莱顿大学） 纠错

Comments Jackson Trager and Francielle Vargas contributed equally

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

LADM: Long-context Training Data Selection with Attention-based Dependency Measurement for LLMs

Jianghao Chen, Junhong Wu, Yangyifan Xu, Jiajun Zhang

机构 * Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所） ； School of Artificial Intelligence, University of Chinese Academy of Sciences（中国科学院大学人工智能学院） ； Zhongguancun Academy, Beijing, China（中关村学院，北京，中国） ； Wuhan AI Research（武汉人工智能研究所） 纠错

Comments ACL 2025, our code is available at https://github.com/ZNLP/LADM

Weed Out, Then Harvest: Dual Low-Rank Adaptation is an Effective Noisy Label Detector for Noise-Robust Learning

Bo Yuan, Yulin Chen, Yin Zhang

机构 * Zhejiang University（浙江大学） 纠错

Comments ACL 2025

SANTA: Separate Strategies for Inaccurate and Incomplete Annotation Noise in Distantly-Supervised Named Entity Recognition

Shuzheng Si, Zefan Cai, Shuang Zeng, Guoqiang Feng, Jiaxing Lin, Baobao Chang

机构 * National Key Laboratory for Multimedia Information Processing, Peking University（国家多媒体信息处理重点实验室，北京大学） ； School of Software and Microelectronics, Peking University（软件与微电子学院，北京大学） 纠错

Comments ACL 2023 (Findings)