arXivDaily arXiv每日学术速递 周一至周五更新

AI 大模型

语言大模型 / LLM

大语言模型、预训练、指令微调、后训练和语言模型应用。

2025-08-22 至 2025-08-22 共收录 4 信号源:cs.CL, cs.AI, cs.LG

1. 预训练与数据 4 篇

2506.10024 2025-08-22 cs.CR cs.AI cs.CL 88%

Private Memorization Editing: Turning Memorization into a Defense to Strengthen Data Privacy in Large Language Models

Elena Sofia Ruzzetti, Giancarlo A. Xompero, Davide Venditti, Fabio Massimo Zanzotto

机构 * Human Centric ART, University of Rome Tor Vergata(罗马托尔维加塔大学人本艺术研究中心) Almawave S.p.A.(阿尔马韦斯公司)

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

Comments To be published at ACL 2025 (Main)

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2508.15096 2025-08-22 cs.CL cs.AI cs.LG 88%

Nemotron-CC-Math: A 133 Billion-Token-Scale High Quality Math Pretraining Dataset

Rabeeh Karimi Mahabadi, Sanjeev Satheesh, Shrimai Prabhumoye, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro

机构 * NVIDIA(英伟达) Boston University(波士顿大学)

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

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2502.15860 2025-08-22 cs.CL cs.AI cs.LG 85%

Synthetic vs. Gold: The Role of LLM Generated Labels and Data in Cyberbullying Detection

Arefeh Kazemi, Sri Balaaji Natarajan Kalaivendan, Joachim Wagner, Hamza Qadeer, Kanishk Verma, Brian Davis

机构 * School of Computing, ADAPT Centre, Dublin City University, Dublin, Ireland(计算学院、ADAPT中心、都柏林城市大学、都柏林、爱尔兰)

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

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2508.14982 2025-08-22 cs.CL 70%

Multilingual Datasets for Custom Input Extraction and Explanation Requests Parsing in Conversational XAI Systems

Qianli Wang, Tatiana Anikina, Nils Feldhus, Simon Ostermann, Fedor Splitt, Jiaao Li, Yoana Tsoneva, Sebastian Möller, Vera Schmitt

机构 * Technische Universität Berlin(技术大学柏林) German Research Center for Artificial Intelligence (DFKI)(德国人工智能研究中心) Saarland Informatics Campus(萨尔州信息学校区) Centre for European Research in Trusted AI (CERTAIN)(可信人工智能欧洲研究中心) BIFOLD – Berlin Institute for the Foundations of Learning and Data(柏林学习与数据基础研究院)

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

Comments Accepted at EMNLP 2025 Findings, camera-ready version

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