语言大模型 / LLM

LMEnt: A Suite for Analyzing Knowledge in Language Models from Pretraining Data to Representations

Daniela Gottesman, Alon Gilae-Dotan, Ido Cohen, Yoav Gur-Arieh, Marius Mosbach, Ori Yoran, Mor Geva

机构 * Tel Aviv University（特拉维夫大学） ； Mila – Quebec AI Institute & McGill University（蒙特利尔AI研究所 & 蒙特利尔大学） 纠错

专题命中 预训练与数据 ：language model(title,abstract)；pretraining(title,abstract)；分类 cs.CL

Comments Submitted to TACL, August 2025

RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation

Sashuai Zhou, Weinan Gan, Qijiong Liu, Ke Lei, Jieming Zhu, Hai Huang, Yan Xia, Ruiming Tang, Zhenhua Dong, Zhou Zhao

机构 * Zhejiang University（浙江大学） ； Huawei Noah’s Ark Lab（华为诺亚实验室） ； Shanghai AI Lab（上海人工智能实验室） ； The HK PolyU（香港理工大学） 纠错

专题命中 预训练与数据 ：pretraining(title,abstract)；foundation model(title)；LLM(abstract)；分类 cs.LG

Journal ref EMNLP 2025

Demystifying optimized prompts in language models

Rimon Melamed, Lucas H. McCabe, H. Howie Huang

机构 * The George Washington University（乔治·华盛顿大学） ； LMI Consulting（LMI咨询公司） 纠错

专题命中 预训练与数据 ：language model(title,abstract)；分类 cs.CL

Comments EMNLP 2025 Main

Masked Autoencoder Pretraining and BiXLSTM ResNet Architecture for PET/CT Tumor Segmentation

Moona Mazher, Steven A Niederer, Abdul Qayyum

专题命中 预训练与数据 ：pretraining(title,abstract)

Bias Analysis and Mitigation through Protected Attribute Detection and Regard Classification

Takuma Udagawa, Yang Zhao, Hiroshi Kanayama, Bishwaranjan Bhattacharjee

机构 * IBM Research - Tokyo（IBM东京研究实验室） ； IBM T. J. Watson Research Center（IBM T.J. Watson研究中心） 纠错

专题命中 预训练与数据 ：large language model(abstract)；language model(abstract)；pretraining(abstract)；分类 cs.CL

Comments Accepted to EMNLP 2025 (Findings)

GalaxAlign: Mimicking Citizen Scientists' Multimodal Guidance for Galaxy Morphology Analysis

Ruoqi Wang, Haitao Wang, Qiong Luo

机构 * The Hong Kong University of Science and Technology (Guangzhou)（香港科学与技术大学（广州）） ； School of Computer Science and Engineering, Sun Yat-Sen University（中山大学计算机科学与工程学院） 纠错

专题命中 预训练与数据 ：foundation model(abstract)；pretraining(abstract)；分类 cs.AI、cs.LG

Comments ACM MM 2025

Learn and Unlearn: Addressing Misinformation in Multilingual LLMs

Taiming Lu, Philipp Koehn

机构 * Johns Hopkins University（约翰霍普金斯大学） 纠错

专题命中 预训练与数据 ：large language model(abstract)；language model(abstract)；分类 cs.CL、cs.LG

Comments EMNLP 2025 Main Conference

RepoForge: Training a SOTA Fast-thinking SWE Agent with an End-to-End Data Curation Pipeline Synergizing SFT and RL at Scale

Zhilong Chen, Chengzong Zhao, Boyuan Chen, Dayi Lin, Yihao Chen, Arthur Leung, Gopi Krishnan Rajbahadur, Gustavo A. Oliva, Haoxiang Zhang, Aaditya Bhatia, Chong Chun Yong, Ahmed E. Hassan

专题命中 预训练与数据 ：SFT(title)

DiaCBT: A Long-Periodic Dialogue Corpus Guided by Cognitive Conceptualization Diagram for CBT-based Psychological Counseling

Yougen Zhou, Ningning Zhou, Qin Chen, Jie Zhou, Aimin Zhou, Liang He

机构 * Shanghai Institute of Artificial Intelligence for Education, East China Normal University（上海教育人工智能研究院，东华师范大学） ； School of Computer Science and Technology, East China Normal University（计算机科学与技术学院，东华师范大学） ； School of Psychology and Cognitive Science, East China Normal University（心理学与认知科学学院，东华师范大学） 纠错

专题命中 预训练与数据 ：large language model(abstract)；language model(abstract)；分类 cs.CL

AI-Driven Drug Repurposing through miRNA-mRNA Relation

Sharanya Manoharan, Balu Bhasuran, Oviya Ramalakshmi Iyyappan, Mohamed Saleem Abdul Shukkoor, Malathi Sellapan, Kalpana Raja

专题命中 预训练与数据 ：large language model(abstract)；language model(abstract)

Fair Resource Allocation for Fleet Intelligence

Oguzhan Baser, Kaan Kale, Po-han Li, Sandeep Chinchali

机构 * Wireless Networking Communications Group (WNCG) Department of Electrical ； Computer Engineering The University of Texas at Austin Email 纠错

专题命中 预训练与数据 ：language model(abstract)；分类 cs.AI、cs.LG

Comments This paper has been accepted for presentation at the 2025 IEEE Global Communications Conference (GLOBECOM 2025)

Managing Correlations in Data and Privacy Demand

Syomantak Chaudhuri, Thomas A. Courtade

机构 * University of California, Berkeley（加州大学伯克利分校） 纠错

专题命中 预训练与数据 ：LLM(abstract)；分类 cs.LG

Comments To appeat at ACM CCS, 2025

Is Synthetic Image Augmentation Useful for Imbalanced Classification Problems? Case-Study on the MIDOG2025 Atypical Cell Detection Competition

Leire Benito-Del-Valle, Pedro A. Moreno-Sánchez, Itziar Egusquiza, Itsaso Vitoria, Artzai Picón, Cristina López-Saratxaga, Adrian Galdran

机构 * TECNALIA ； Basque Research and Technology Alliance (BRTA)（巴斯克研究与技术联盟） ； University of the Basque Country（巴斯克大学） 纠错

专题命中 预训练与数据 ：pretraining(abstract)；分类 cs.AI

Comments version 0, to be updated; submitted to midog 2025