EMNLP

Contrastive Learning Using Graph Embeddings for Domain Adaptation of Language Models in the Process Industry

Anastasia Zhukova, Jonas Lührs, Christian E. Lobmüller, Bela Gipp

机构 * University of Göttingen（戈丁根大学） ； eschbach GmbH（eschbach公司） 纠错

Comments accepted to EMNLP 2025 (industry track)

Randomly Removing 50% of Dimensions in Text Embeddings has Minimal Impact on Retrieval and Classification Tasks

Sotaro Takeshita, Yurina Takeshita, Daniel Ruffinelli, Simone Paolo Ponzetto

机构 * Data and Web Science Group, University of Mannheim（曼海姆大学数据与网络科学组） 纠错

Comments Accepted to EMNLP 2025 Main Conference (Oral), camera-ready version

OWL: Probing Cross-Lingual Recall of Memorized Texts via World Literature

Alisha Srivastava, Emir Korukluoglu, Minh Nhat Le, Duyen Tran, Chau Minh Pham, Marzena Karpinska, Mohit Iyyer

Comments Accepted to EMNLP 2025 Main

Tracing Multilingual Factual Knowledge Acquisition in Pretraining

Yihong Liu, Mingyang Wang, Amir Hossein Kargaran, Felicia Körner, Ercong Nie, Barbara Plank, François Yvon, Hinrich Schütze

机构 * Center for Information and Language Processing, LMU Munich（信息与语言处理中心，慕尼黑大学） ； Munich Center for Machine Learning (MCML)（慕尼黑机器学习中心（MCML）） ； Bosch Center for Artificial Intelligence（博世人工智能中心） ； Sorbonne Université, CNRS, ISIR, France（索邦大学，法国国家科学研究中心，ISIR） 纠错

Comments EMNLP Findings 2025

Cross-Document Cross-Lingual NLI via RST-Enhanced Graph Fusion and Interpretability Prediction

Mengying Yuan, Wenhao Wang, Zixuan Wang, Yujie Huang, Kangli Wei, Fei Li, Chong Teng, Donghong Ji

机构 * Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, Wuhan University（航空信息安全与可信计算重点实验室，教育部，网络安全与工程学院，武汉大学） ； Zhejiang University（浙江大学） 纠错

Comments EMNLP 2025 Main (Camera Ready)

On Relation-Specific Neurons in Large Language Models

Yihong Liu, Runsheng Chen, Lea Hirlimann, Ahmad Dawar Hakimi, Mingyang Wang, Amir Hossein Kargaran, Sascha Rothe, François Yvon, Hinrich Schütze

Comments EMNLP 2025

Context Length Alone Hurts LLM Performance Despite Perfect Retrieval

Yufeng Du, Minyang Tian, Srikanth Ronanki, Subendhu Rongali, Sravan Bodapati, Aram Galstyan, Azton Wells, Roy Schwartz, Eliu A Huerta, Hao Peng

机构 * University of Illinois at Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校） ； Amazon.com Inc.（亚马逊公司） ； USC Information Sciences Institute（南加州大学信息科学研究所） ； Argonne National Laboratory（阿贡国家实验室） ； The Hebrew University of Jerusalem（耶路撒冷希伯来大学） ； University of Chicago（芝加哥大学） 纠错

Comments 18 pages (9 pages of main content), 5 figures, accepted at the Findings of EMNLP 2025

Residualized Similarity for Faithfully Explainable Authorship Verification

Peter Zeng, Pegah Alipoormolabashi, Jihu Mun, Gourab Dey, Nikita Soni, Niranjan Balasubramanian, Owen Rambow, H. Schwartz

机构 * Department of Computer Science（计算机科学系） ； Department of Linguistics（语言学系） ； Institute for Advanced Computational Science（先进计算科学研究院） ； Stony Brook University（石溪大学） 纠错

Comments EMNLP 2025 Findings

Representation Potentials of Foundation Models for Multimodal Alignment: A Survey

Jianglin Lu, Hailing Wang, Yi Xu, Yizhou Wang, Kuo Yang, Yun Fu

机构 * Department of Electrical and Computer Engineering, Northeastern University（东北大学电气与计算机工程系） ； Khoury College of Computer Science, Northeastern University（东北大学科赫里计算机科学学院） 纠错

Journal ref The 2025 Conference on Empirical Methods in Natural Language Processing

SATER: A Self-Aware and Token-Efficient Approach to Routing and Cascading

Yuanzhe Shen, Yide Liu, Zisu Huang, Ruicheng Yin, Xiaoqing Zheng, Xuanjing Huang

机构 * School of Computer Science, Fudan University（复旦大学计算机学院） 纠错

Comments Accepted to EMNLP 2025 Main

Learning to vary: Teaching LMs to reproduce human linguistic variability in next-word prediction

Tobias Groot, Salo Lacunes, Evgenia Ilia

机构 * University of Amsterdam（阿姆斯特丹大学） 纠错

Comments EMNLP UncertaiNLP Workshop 2025

Intent-Aware Schema Generation And Refinement For Literature Review Tables

Vishakh Padmakumar, Joseph Chee Chang, Kyle Lo, Doug Downey, Aakanksha Naik

机构 * New York University（纽约大学） ； AI2 ； Northwestern University（西北大学） 纠错

Comments To Appear at EMNLP Findings 2025

Compound AI Systems Optimization: A Survey of Methods, Challenges, and Future Directions

Yu-Ang Lee, Guan-Ting Yi, Mei-Yi Liu, Jui-Chao Lu, Guan-Bo Yang, Yun-Nung Chen

机构 * National Taiwan University（国立台湾大学） 纠错

Comments Accepted to EMNLP 2025 (Main)