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By accessing this web page or using these results in any manner whatsoever, you agree to be bound by the foregoing restrictions.https://2026.emnlp.org/October 24 –29Budapest, Hungary The 2026 Conference on Empirical Methods in Natural Language Processing October 24 –29 Budapest, HungaryMon, 24 Aug 2026 04:06:00 GMThttps://2026.emnlp.org/program/find_papers/Accepted Findings Papers Automating Alternative Generation in Decision-Making Yevhen Kostiuk, Clara Seyfried, Chris Reed Bias Analysis and Mitigation through Protected Attribute Detection and Regard Classification Takuma Udagawa, YANG ZHAO, Hiroshi Kanayama, Bishwaranjan Bhattacharjee Large Language Models Might Not Care What You Are Saying: Prompt Format Beats Descriptions Chenming Tang ...Sun, 23 Aug 2026 07:07:00 GMThttps://2026.emnlp.org/program/main_papers/HydraRAG: Structured Cross-Source Enhanced Large Language Model Reasoning Xingyu Tan, Xiaoyang Wang, Qing Liu, Xiwei Xu, Xin Yuan, Liming Zhu, Wenjie Zhang VRoPE: Rotary Position Embedding for Video Large Language Models Zikang Liu, Longteng Guo, Yepeng Tang, Tongtian Yue, Junxian Cai, Kai Ma, Qingbin Liu, Xi Chen, Jing LiuMon, 24 Aug 2026 02:05:00 GMThttps://2026.emnlp.org/program/demo_papers/Marcel: A Lightweight and Open-Source Conversational Agent for University Student Support Anastasiia Derzhanskaia, Christin Seifert, Jan Trienes, Jörg Schlötterer, Markus Mühling, Roland Schwarzkopf GraDeT-HTR: A Resource-Efficient Bengali Handwritten Text Recognition System utilizing Grapheme-based Tokenizer and Decoder-only TransformerSat, 22 Aug 2026 18:35:00 GMThttps://2026.emnlp.org/calls/main_conference_papers/Call for Main Conference Papers (EMNLP 2026) Call for Main Conference Papers On this page Overview Important Dates New: Paper Integrity Policies at EMNLP Paper Submission Information Mandatory Reviewing Workload AI Reviewing Experiment (opt-in) Submission Topics EMNLP 2026 Theme Track: New Missions for NLP Research Two Stage Review: Submission to ARR, Commitment to EMNLP Paper Submission ...Mon, 24 Aug 2026 07:34:00 GMThttps://2026.emnlp.org/program/tacl_papers/EMNLP 2025 Accepted TACL Papers Accepted TACL Papers Interactive Machine Teaching by Labeling Rules and Instances Giannis Karamanolakis Daniel Hsu Luis Gravano Prompt Contrastive Transformation: An Enhanced Strategy for Efficient Prompt Transfer in Natural Language Processing Shu Zhao Shiji Yang Shicheng Tan Zhen Yang Congyao Mei Zhen Duan Yanping Zhang Jie Chen How much Semantic Information ...Sat, 22 Aug 2026 22:17:00 GMThttps://2026.emnlp.org/program/cl_papers/EMNLP 2025 Accepted CL Papers Accepted CL Papers Decode, move and speak! Self-supervised learning of speech units, gestures and sounds relationships using vocal imitation Thomas Hueber, Marc-Antoine Georges, Marvin Lavechin, Jean-Luc Schwartz A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future Directions Derek Fai Wong, Junchao Wu, Shu Yang, Runzhe Zhan, Yulin Yuan, Lidia ...Fri, 21 Aug 2026 14:04:00 GMThttps://2026.emnlp.org/program/ind_papers/EMNLP 2025 Accepted Industry Track Papers Accepted Industry Track Papers RAVEN++: Pinpointing Fine-Grained Violations in Advertisement Videos with Active Reinforcement Reasoning Deyi Ji, Yuekui Yang, Haiyang Wu, Shaogang Tang, Peng Shu, Xudong Chen, Shaoping Ma, Tianrun Chen, Lanyun Zhu SAGE: A Generic Framework for LLM Safety Evaluation Madhur Jindal, Hari Shrawgi, Parag Agrawal, Sandipan ...Mon, 24 Aug 2026 04:14:00 GMThttps://2026.emnlp.org/program/workshops/10th Workshop on Automated Knowledge Base Construction (AKBC) Time: 9:00–17:30 Room: TBA Description: While Large Language Models (LLMs) have revolutionized NLP, they remain prone to hallucinations, reasoning “mode-collapse” in open-ended generation, and a lack of factual provenance. The Automated Knowledge Base Construction (AKBC) workshop addresses a key missing piece of the generative ...Sun, 23 Aug 2026 14:16:00 GMThttps://2026.emnlp.org/program/panel/Panel On this page Advancing our Reach: Do’s, Don’ts and Lessons learned in Interdisciplinary Research Date Panelists Heng Ji Jana Diesner Hannaneh Hajishirzi Iryna Gurevych Junyang Lin Moderator Advancing our Reach: Do’s, Don’ts and Lessons learned in Interdisciplinary Research Large Language Models are a knowledge resource, but not a panacea. This panel brings disciplinary and ...Fri, 21 Aug 2026 04:53:00 GMThttps://2026.emnlp.org/program/keynotes/He also contributes to making NLP research more accessible through open publishing of research papers, advanced NLP course materials and video lectures, and open-source software, all of which are available on his web site.Fri, 21 Aug 2026 20:02:00 GMT