ACL

Private Memorization Editing: Turning Memorization into a Defense to Strengthen Data Privacy in Large Language Models

Elena Sofia Ruzzetti, Giancarlo A. Xompero, Davide Venditti, Fabio Massimo Zanzotto

机构 * Human Centric ART, University of Rome Tor Vergata（罗马托尔维加塔大学人本艺术研究中心） ； Almawave S.p.A.（阿尔马韦斯公司） 纠错

Comments To be published at ACL 2025 (Main)

Adaptive Tool Use in Large Language Models with Meta-Cognition Trigger

Wenjun Li, Dexun Li, Kuicai Dong, Cong Zhang, Hao Zhang, Weiwen Liu, Yasheng Wang, Ruiming Tang, Yong Liu

机构 * Huawei Noah’s Ark Lab（华为诺亚实验室） 纠错

Comments 25 pages, camera ready version for ACL-2025

TCSinger 2: Customizable Multilingual Zero-shot Singing Voice Synthesis

Yu Zhang, Wenxiang Guo, Changhao Pan, Dongyu Yao, Zhiyuan Zhu, Ziyue Jiang, Yuhan Wang, Tao Jin, Zhou Zhao

机构 * Zhejiang University（浙江大学） 纠错

Comments Accepted by Findings of ACL 2025

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

PersonaBench: Evaluating AI Models on Understanding Personal Information through Accessing (Synthetic) Private User Data

Juntao Tan, Liangwei Yang, Zuxin Liu, Zhiwei Liu, Rithesh Murthy, Tulika Manoj Awalgaonkar, Jianguo Zhang, Weiran Yao, Ming Zhu, Shirley Kokane, Silvio Savarese, Huan Wang, Caiming Xiong, Shelby Heinecke

机构 * Salesforce AI Research（Salesforce人工智能研究） 纠错

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

Pattern Recognition or Medical Knowledge? The Problem with Multiple-Choice Questions in Medicine

Maxime Griot, Jean Vanderdonckt, Demet Yuksel, Coralie Hemptinne

Comments ACL 2025 main