EMNLP

To Word Senses and Beyond: Inducing Concepts with Contextualized Language Models

Bastien Liétard, Pascal Denis, Mikaela Keller

机构 * University of Lille（里尔大学） ； Inria（法国国家信息与自动化技术研究院） ； CNRS（法国国家科学研究中心） ； Centrale Lille（里尔中央理工学院） ； UMR 9189 - CRIStAL 纠错

Comments Published in EMNLP 2024 main conference proceedings

Journal ref In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 2684-2696 (2024)

Do they mean 'us'? Interpreting Referring Expressions in Intergroup Bias

Venkata S Govindarajan, Matianyu Zang, Kyle Mahowald, David Beaver, Junyi Jessy Li

Comments Accepted to Findings@EMNLP 2024

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

Separate the Wheat from the Chaff: Winnowing Down Divergent Views in Retrieval Augmented Generation

Song Wang, Zihan Chen, Peng Wang, Zhepei Wei, Zhen Tan, Yu Meng, Cong Shen, Jundong Li

机构 * University of Virginia（弗吉尼亚大学） ； Arizona State University（亚利桑那州立大学） 纠错

Comments EMNLP Main 2025

GraphCheck: Multipath Fact-Checking with Entity-Relationship Graphs

Hyewon Jeon, Jay-Yoon Lee

机构 * Seoul National University（首尔国立大学） 纠错

Journal ref Findings of the Association for Computational Linguistics: EMNLP 2025, Suzhou, China, pp. 24728-24745

Mind the Blind Spots: A Focus-Level Evaluation Framework for LLM Reviews

Hyungyu Shin, Jingyu Tang, Yoonjoo Lee, Nayoung Kim, Hyunseung Lim, Ji Yong Cho, Hwajung Hong, Moontae Lee, Juho Kim

机构 * KAIST（韩国科学技术院） ； Huazhong University of Science and Technology（华中科技大学） ； LG AI Research（LG人工智能研究） ； University of Illinois Chicago（伊利诺伊大学香槟分校） 纠错

Comments EMNLP 2025 Oral

AIRepr: An Analyst-Inspector Framework for Evaluating Reproducibility of LLMs in Data Science

Qiuhai Zeng, Claire Jin, Xinyue Wang, Yuhan Zheng, Qunhua Li

机构 * Pennsylvania State University（宾夕法尼亚州立大学） ； Carnegie Mellon University（卡内基梅隆大学） ； International Monetary Fund（国际货币基金组织） 纠错

Comments Accepted to 2025 EMNLP findings

InterFeedback: Unveiling Interactive Intelligence of Large Multimodal Models via Human Feedback

Henry Hengyuan Zhao, Wenqi Pei, Yifei Tao, Haiyang Mei, Mike Zheng Shou

机构 * Show Lab, National University of Singapore（新加坡国立大学Show实验室） 纠错

Comments Accepted by EMNLP 2025 Findings

iTool: Reinforced Fine-Tuning with Dynamic Deficiency Calibration for Advanced Tool Use

Yirong Zeng, Xiao Ding, Yuxian Wang, Weiwen Liu, Wu Ning, Yutai Hou, Xu Huang, Duyu Tang, Dandan Tu, Bing Qin, Ting Liu

机构 * Harbin Institute of Technology SCIR Lab（哈尔滨工业大学SCIR实验室） ； Huawei Technologies Co., Ltd（华为技术有限公司） ； Shanghai Jiao Tong University（上海交通大学） ； University of Science and Technology of China（中国科学技术大学） 纠错

Comments EMNLP 2025

MMDocIR: Benchmarking Multimodal Retrieval for Long Documents

Kuicai Dong, Yujing Chang, Xin Deik Goh, Dexun Li, Ruiming Tang, Yong Liu

机构 * Huawei Technologies Co., Ltd.（华为技术有限公司） 纠错

Comments Paper accepted to EMNLP-2025(Main)

Learning to Adapt to Low-Resource Paraphrase Generation

Zhigen Li, Yanmeng Wang, Rizhao Fan, Ye Wang, Jianfeng Li, Shaojun Wang

机构 * Ping An Technology（平安科技） ； University of Bologna（博洛尼亚大学） 纠错

Journal ref Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), pages 1014 - 1022

TOBUGraph: Knowledge Graph-Based Retrieval for Enhanced LLM Performance Beyond RAG

Savini Kashmira, Jayanaka L. Dantanarayana, Joshua Brodsky, Ashish Mahendra, Yiping Kang, Krisztian Flautner, Lingjia Tang, Jason Mars

机构 * University of Michigan（密歇根大学） 纠错

Comments Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: Industry Track