ACL

M3HG: Multimodal, Multi-scale, and Multi-type Node Heterogeneous Graph for Emotion Cause Triplet Extraction in Conversations

Qiao Liang, Ying Shen, Tiantian Chen, Lin Zhang

机构 * Tongji University（同济大学） 纠错

Comments 16 pages, 8 figures. Accepted to Findings of ACL 2025

Journal ref Findings of ACL 2025 (2025) 11416-11431

Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data

Ekaterina Borisova, Fabio Barth, Nils Feldhus, Raia Abu Ahmad, Malte Ostendorff, Pedro Ortiz Suarez, Georg Rehm, Sebastian Möller

机构 * Deutsches Forschungszentrum für Künstliche Intelligenz GmbH (DFKI)（德国人工智能研究中心有限公司） ； Technische Universität Berlin（柏林技术大学） ； BIFOLD ； Deutsche Telekom（德国电信） ； Common Crawl Foundation（Common Crawl基金会） ； Humboldt-Universität zu Berlin（柏林洪堡大学） 纠错

Comments TRL@ACL 2025, camera-ready version

A Modular Approach for Clinical SLMs Driven by Synthetic Data with Pre-Instruction Tuning, Model Merging, and Clinical-Tasks Alignment

Jean-Philippe Corbeil, Amin Dada, Jean-Michel Attendu, Asma Ben Abacha, Alessandro Sordoni, Lucas Caccia, François Beaulieu, Thomas Lin, Jens Kleesiek, Paul Vozila

Journal ref ACL 2025

ErAConD : Error Annotated Conversational Dialog Dataset for Grammatical Error Correction

Xun Yuan, Derek Pham, Sam Davidson, Zhou Yu

Journal ref Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies