EMNLP

Harmonizing Diverse Models: A Layer-wise Merging Strategy for Consistent Generation

Xujun Peng, Anoop Kumar, Jingyu Wu, Parker Glenn, Daben Liu

机构 * AI Foundations, Capital One McLean, VA, USA（AI基础研究，Capital One麦莱恩，美国弗吉尼亚州） 纠错

Comments EMNLP 2025 Industry track

Semantic Prosody in Machine Translation: the English-Chinese Case of Passive Structures

Xinyue Ma, Pol Pastells, Mireia Farrús, Mariona Taulé

Comments 11 pages, 2 figures, *SEM workshop at EMNLP 2025 conference

Watermarking for Factuality: Guiding Vision-Language Models Toward Truth via Tri-layer Contrastive Decoding

Kyungryul Back, Seongbeom Park, Milim Kim, Mincheol Kwon, SangHyeok Lee, Hyunyoung Lee, Junhee Cho, Seunghyun Park, Jinkyu Kim

机构 * CSE, Korea University（韩国大学计算机科学与工程系） ； KT Corporation（KT公司） ； Soongsil University（顺成大学） 纠错

Comments EMNLP 2025 Findings; Project: https://github.com/KR-0822/TCD

Think Globally, Group Locally: Evaluating LLMs Using Multi-Lingual Word Grouping Games

César Guerra-Solano, Zhuochun Li, Xiang Lorraine Li

机构 * School of Computing and Information（计算与信息学院） ； University of Pittsburgh（匹兹堡大学） 纠错

Comments EMNLP Main 2025

On-device System of Compositional Multi-tasking in Large Language Models

Ondrej Bohdal, Konstantinos Theodosiadis, Asterios Mpatziakas, Dimitris Filippidis, Iro Spyrou, Christos Zonios, Anastasios Drosou, Dimosthenis Ioannidis, Kyeng-Hun Lee, Jijoong Moon, Hyeonmok Ko, Mete Ozay, Umberto Michieli

机构 * Samsung R&D Institute UK（三星英国研发中心） ； CERTH（希腊CERTH） ； Samsung Research（三星研究） 纠错

Comments Accepted at EMNLP 2025 (industry track)

SIMBA UQ: Similarity-Based Aggregation for Uncertainty Quantification in Large Language Models

Debarun Bhattacharjya, Balaji Ganesan, Junkyu Lee, Radu Marinescu, Katsiaryna Mirylenka, Michael Glass, Xiao Shou

机构 * IBM Research（IBM研究院） ； Zalando ； Baylor University（贝勒大学） 纠错

Comments 15 pages including appendix, Findings of EMNLP 2025

Confidence-Based Response Abstinence: Improving LLM Trustworthiness via Activation-Based Uncertainty Estimation

Zhiqi Huang, Vivek Datla, Chenyang Zhu, Alfy Samuel, Daben Liu, Anoop Kumar, Ritesh Soni

机构 * Capital One 纠错

Comments UncertaiNLP at EMNLP 2025

Confidence Calibration in Large Language Model-Based Entity Matching

Iris Kamsteeg, Juan Cardenas-Cartagena, Floris van Beers, Gineke ten Holt, Tsegaye Misikir Tashu, Matias Valdenegro-Toro

机构 * Bernoulli Institute, University of Groningen（格罗宁根大学伯努利研究所） 纠错

Comments 9 pages, 2 figures. UncertaiNLP 2025 Workshop @ EMNLP Camera Ready

Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth

Yang Wang, Chenghao Xiao, Chia-Yi Hsiao, Zi Yan Chang, Chi-Li Chen, Tyler Loakman, Chenghua Lin

机构 * The University of Manchester（曼彻斯特大学） ； Durham University（杜伦大学） ； The University of Sheffield（谢菲尔德大学） 纠错

Comments Accepted for oral presentation at the EMNLP 2025 Main Conference

Multilinguality Does not Make Sense: Investigating Factors Behind Zero-Shot Transfer in Sense-Aware Tasks

Roksana Goworek, Haim Dubossarsky

机构 * Queen Mary University of London（伦敦玛丽女王大学） ； The Alan Turing Institute（艾伦·图灵研究所） ； University of Cambridge（剑桥大学） 纠错

Comments accepted to EMNLP 2025 Main

ScholarBench: A Bilingual Benchmark for Abstraction, Comprehension, and Reasoning Evaluation in Academic Contexts

Dongwon Noh, Donghyeok Koh, Junghun Yuk, Gyuwan Kim, Jaeyong Lee, Kyungtae Lim, Cheoneum Park

Comments EMNLP 2025 Findings

Women, Infamous, and Exotic Beings: A Comparative Study of Honorific Usages in Wikipedia and LLMs for Bengali and Hindi

Sourabrata Mukherjee, Atharva Mehta, Sougata Saha, Akhil Arora, Monojit Choudhury

Comments Accepted and published at EMNLP 2025 (Main)

MIO: A Foundation Model on Multimodal Tokens

Zekun Wang, King Zhu, Chunpu Xu, Wangchunshu Zhou, Jiaheng Liu, Yibo Zhang, Jiashuo Wang, Ning Shi, Siyu Li, Yizhi Li, Haoran Que, Zhaoxiang Zhang, Yuanxing Zhang, Ge Zhang, Ke Xu, Jie Fu, Wenhao Huang

机构 * Beihang University（北航） ； M-A-P ； The Hong Kong Polytechnic University（香港理工大学） ； AIWaves ； University of Alberta（阿尔伯塔大学） ； University of Waterloo（滑铁卢大学） ； University of Manchester（曼彻斯特大学） ； Chinese Academy of Sciences（中国科学院） ； Peking University（北京大学） ； Shanghai AI Lab（上海AI实验室） ； Nanjing University（南京大学） ； Kuaishou Technology（快手科技） 纠错

Comments EMNLP 2025 (Oral). Codes and models are available in https://github.com/MIO-Team/MIO

Journal ref EMNLP 2025

AAVENUE: Detecting LLM Biases on NLU Tasks in AAVE via a Novel Benchmark

Abhay Gupta, Philip Meng, Ece Yurtseven, Sean O'Brien, Kevin Zhu

机构 * Algoverse AI Research（Algoverse AI 研究所） 纠错

Comments Published at NLP4PI @ EMNLP 2024