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Conference on Empirical Methods in Natural Language Processing · 会议 · Natural Language Processing

2025-10-23 至 2025-10-23 共收录 13
2510.19493 2025-10-23 cs.CL

What is the Best Sequence Length for BABYLM?

Suchir Salhan, Richard Diehl Martinez, Zébulon Goriely, Paula Buttery

机构 * Department of Computer Science & Technology, University of Cambridge, U.K.(计算机科学与技术系,剑桥大学,英国) ALTA Institute, University of Cambridge, U.K.(ALTA研究所,剑桥大学,英国)

Comments Paper Accepted at the 2025 BabyLM Workshop @ EMNLP (Suzhou, China)

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2510.19419 2025-10-23 cs.CL

BLiSS 1.0: Evaluating Bilingual Learner Competence in Second Language Small Language Models

Yuan Gao, Suchir Salhan, Andrew Caines, Paula Buttery, Weiwei Sun

机构 * ALTA Institute(ALTA研究院) Department of Computer Science & Technology, University of Cambridge(计算机科学与技术系,剑桥大学)

Comments Accepted Paper at the BabyLM Workshop 2025 @ EMNLP (Presentation in Suzhou, China)

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2510.19005 2025-10-23 cs.CL

Dynamic Evaluation for Oversensitivity in LLMs

Sophia Xiao Pu, Sitao Cheng, Xin Eric Wang, William Yang Wang

机构 * University of California, Santa Barbara(加州大学圣芭芭拉分校)

Comments EMNLP-Findings 2025

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2510.18279 2025-10-23 cs.CL cs.AI

Text or Pixels? It Takes Half: On the Token Efficiency of Visual Text Inputs in Multimodal LLMs

Yanhong Li, Zixuan Lan, Jiawei Zhou

机构 * Allen Institute for AI(艾伦人工智能研究所) University of Chicago(芝加哥大学) Stony Brook University(石溪大学)

Comments Accepted to EMNLP 2025 Findings ("Text or Pixels? Evaluating Efficiency and Understanding of LLMs with Visual Text Inputs")

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2506.13579 2025-10-23 cs.LG cs.AI cs.CL cs.CV

Flexible-length Text Infilling for Discrete Diffusion Models

Andrew Zhang, Anushka Sivakumar, Chiawei Tang, Chris Thomas

机构 * Department of Computer Science(计算机科学系)

Comments Major edit of methodology section. Matches EMNLP camera-ready version

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2505.15695 2025-10-23 cs.CL

Can Large Language Models be Effective Online Opinion Miners?

Ryang Heo, Yongsik Seo, Junseong Lee, Dongha Lee

机构 * Department of Artificial Intelligence, Yonsei University - DLI Lab(人工智能系,延世大学 - DLI实验室)

Comments Accepted to EMNLP 2025 Main

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2503.12730 2025-10-23 cs.LG cs.AI cs.DB

TinySQL: A Progressive Text-to-SQL Dataset for Mechanistic Interpretability Research

Abir Harrasse, Philip Quirke, Clement Neo, Dhruv Nathawani, Luke Marks, Amir Abdullah

机构 * Martian Apart Research NVIDIA Thoughtworks Mohammed VI Polytechnic University(摩洛哥穆莱·易斯政院)

Comments Accepted to EMNLP 2025, 9 pages, 19 figures, 7 tables, 18 trained models Project Website: https://abirharrasse.github.io/tinysql/ Code Repository: https://github.com/withmartian/TinySQL Datasets and Models Viewer: https://huggingface.co/spaces/abir-hr196/tinysql-demo

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2503.10620 2025-10-23 cs.CL

From TOWER to SPIRE: Adding the Speech Modality to a Translation-Specialist LLM

Kshitij Ambilduke, Ben Peters, Sonal Sannigrahi, Anil Keshwani, Tsz Kin Lam, Bruno Martins, André F. T. Martins, Marcely Zanon Boito

机构 * ENS Paris-Saclay(巴黎-萨克雷大学) INESC-ID Instituto de Telecomunicações(电信研究所) Instituto Superior Técnico, Universidade de Lisboa(里斯本大学技术学院) Sapienza University of Rome(罗马萨皮恩扎大学) University of Edinburgh(爱丁堡大学) TransPerfect NAVER LABS Europe(NAVER欧洲实验室)

Comments EMNLP 2025 (Findings) camera ready

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2503.07663 2025-10-23 cs.LG cs.AI

Merge then Realign: Simple and Effective Modality-Incremental Continual Learning for Multimodal LLMs

Dingkun Zhang, Shuhan Qi, Xinyu Xiao, Kehai Chen, Xuan Wang

机构 * Harbin Institute of Technology, Shenzhen(哈尔滨工业大学(深圳)) Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies(广东省新型安全智能技术重点实验室)

Comments EMNLP 2025 Main Conference

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2503.01872 2025-10-23 cs.LG cs.AI cs.CV

FairGen: Controlling Sensitive Attributes for Fair Generations in Diffusion Models via Adaptive Latent Guidance

Mintong Kang, Vinayshekhar Bannihatti Kumar, Shamik Roy, Abhishek Kumar, Sopan Khosla, Balakrishnan Murali Narayanaswamy, Rashmi Gangadharaiah

机构 * UIUC(伊利诺伊大学) AWS AI Labs(亚马逊AI实验室)

Comments EMNLP 2025 Main Conference (Camera Ready)

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2502.01349 2025-10-23 cs.CL

Bias Beware: The Impact of Cognitive Biases on LLM-Driven Product Recommendations

Giorgos Filandrianos, Angeliki Dimitriou, Maria Lymperaiou, Konstantinos Thomas, Giorgos Stamou

机构 * National Technical University of Athens(国家技术大学雅典) Instituto de Telecomunicações(电信研究所)

Comments Accepted at EMNLP 2025

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2501.04961 2025-10-23 cs.CL cs.AI cs.CE cs.LG

Demystifying Domain-adaptive Post-training for Financial LLMs

Zixuan Ke, Yifei Ming, Xuan-Phi Nguyen, Caiming Xiong, Shafiq Joty

机构 * Salesforce AI Research(Salesforce人工智能研究)

Comments EMNLP 2025 (Oral, ARR best paper nomination)

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2411.16160 2025-10-23 cs.IR

Stop Playing the Guessing Game! Target-free User Simulation for Evaluating Conversational Recommender Systems

Sunghwan Kim, Kwangwook Seo, Tongyoung Kim, Jinyoung Yeo, Dongha Lee

Comments Accepted to EMNLP 2025 Findings

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