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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。

2025-10-16 至 2025-10-16 共收录 16 信号源:cs.CL, cs.AI, cs.LG

1. 指令微调 16 篇

2510.12864 2025-10-16 cs.AI cs.CL cs.LG 93%

From Literal to Liberal: A Meta-Prompting Framework for Eliciting Human-Aligned Exception Handling in Large Language Models

Imran Khan

机构 * Independent Researcher(独立研究者)

专题命中 指令微调 :large language model(title,abstract);language model(title,abstract);prompting(title,abstract);SFT(abstract)

Comments 13 pages. Code and data are available at https://github.com/strongSoda/LITERAL-TO-LIBERAL

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2510.13183 2025-10-16 cs.CL 89%

DSCD: Large Language Model Detoxification with Self-Constrained Decoding

Ming Dong, Jinkui Zhang, Bolong Zheng, Xinhui Tu, Po Hu, Tingting He

机构 * Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning(湖北人工智能与智能学习省级重点实验室) National Language Resources Monitoring and Research Center for Network Media(网络媒体语言资源监测与研究国家中心) Central China Normal University(中央财经大学) Wuhan University of Technology(武汉理工大学)

专题命中 指令微调 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL

Comments Accepted at EMNLP 2025 MainConference

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2510.13131 2025-10-16 cs.CV cs.MM 89%

OS-HGAdapter: Open Semantic Hypergraph Adapter for Large Language Models Assisted Entropy-Enhanced Image-Text Alignment

Rongjun Chen, Chengsi Yao, Jinchang Ren, Xianxian Zeng, Peixian Wang, Jun Yuan, Jiawen Li, Huimin Zhao, Xu Lu

机构 * School of Computer Science, Guangdong Polytechnic Normal University(广东 polytechnic 正规大学计算机学院)

专题命中 指令微调 :large language model(title,abstract);language model(title,abstract);LLM(abstract)

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2510.12835 2025-10-16 cs.CL cs.AI 86%

Repurposing Annotation Guidelines to Instruct LLM Annotators: A Case Study

Kon Woo Kim, Rezarta Islamaj, Jin-Dong Kim, Florian Boudin, Akiko Aizawa

专题命中 指令微调 :LLM(title,abstract);large language model(abstract);language model(abstract);分类 cs.CL、cs.AI

Comments 11 pages, 2 figures, 3 tables, This is a preprint of the article accepted at NLDB 2025 (Springer LNCS). The final version is available at https://doi.org/10.1007/978-3-031-97144-0_13

Journal ref In International Conference on Applications of Natural Language to Information Systems, pp. 140-151. Cham: Springer Nature Switzerland, 2025

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2509.18133 2025-10-16 cs.LG cs.AI 86%

Self-Evolving LLMs via Continual Instruction Tuning

Jiazheng Kang, Le Huang, Cheng Hou, Zhe Zhao, Zhenxiang Yan, Ting Bai

机构 * Beijing University of Posts and Telecommunications(北京邮电大学) Tencent AI Lab(腾讯AI实验室)

专题命中 指令微调 :instruction tuning(title,abstract);large language model(abstract);language model(abstract);分类 cs.AI、cs.LG

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2510.13351 2025-10-16 cs.CL cs.AI 84%

Protect: Towards Robust Guardrailing Stack for Trustworthy Enterprise LLM Systems

Karthik Avinash, Nikhil Pareek, Rishav Hada

机构 * FutureAGI Inc.(未来人工智能公司)

专题命中 指令微调 :LLM(title);large language model(abstract);language model(abstract);分类 cs.CL、cs.AI

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2507.23227 2025-10-16 cs.CL cs.LG q-bio.QM 82%

Enabling Few-Shot Alzheimer's Disease Diagnosis on Biomarker Data with Tabular LLMs

Sophie Kearney, Shu Yang, Zixuan Wen, Bojian Hou, Duy Duong-Tran, Tianlong Chen, Jason Moore, Marylyn Ritchie, Li Shen

机构 * University of Pennsylvania(宾夕法尼亚大学) United States Naval Academy(美国海军学院) University of North Carolina at Chapel Hill(北卡罗来纳大学教堂山分校) Cedars Sinai Medical Center(西好莱坞 Cedars Sinai 医院)

专题命中 指令微调 :LLM(abstract);large language model(abstract);language model(abstract);foundation model(abstract)

Comments accepted by ACM-BCB'25: ACM Conference on Bioinformatics, Computational Biology, and Health Informatics [ACM SIGBio Best Paper Award]

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2509.07613 2025-10-16 cs.CV 78%

Data-Efficient Fine-Tuning of Vision-Language Models for Diagnosis of Alzheimer's Disease

Fangqi Cheng, Surajit Ray, Xiaochen Yang

机构 * School of Mathematics and Statistics, University of Glasgow, UK(数学与统计学学院,格拉斯哥大学)

专题命中 指令微调 :language model(title,abstract)

Comments Accepted at MICAD 2025

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2509.21976 2025-10-16 cs.CV cs.AI 77%

Geo-R1: Improving Few-Shot Geospatial Referring Expression Understanding with Reinforcement Fine-Tuning

Zilun Zhang, Zian Guan, Tiancheng Zhao, Haozhan Shen, Tianyu Li, Yuxiang Cai, Zhonggen Su, Zhaojun Liu, Jianwei Yin, Xiang Li

机构 * College of Computer Science and Technology of Zhejiang University(浙江大学计算机科学与技术学院) Polytechnic Institute of Zhejiang University(浙江大学Polytechnic学院) Om AI Research(Om AI研究机构) Binjiang Research Institute of Zhejiang University(浙江大学滨江研究机构) School of Software Engineering of Zhejiang University(浙江大学软件工程学院) School of Mathematical Sciences of Zhejiang University(浙江大学数学科学学院) China Academy of Space Technology(中国航天科技研究院) University of Bristol(布里斯托大学)

专题命中 指令微调 :large language model(abstract);language model(abstract);SFT(abstract);分类 cs.AI

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2509.25455 2025-10-16 cs.LG cs.AI cs.SE 73%

PIPer: On-Device Environment Setup via Online Reinforcement Learning

Alexander Kovrigin, Aleksandra Eliseeva, Konstantin Grotov, Egor Bogomolov, Yaroslav Zharov

机构 * JetBrains Research(JetBrains研究部) Constructor University(Constructor大学) Delft University of Technology(代尔夫特理工大学)

专题命中 指令微调 :large language model(abstract);language model(abstract);分类 cs.AI、cs.LG

Comments Under review

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2508.02527 2025-10-16 cs.CL cs.LG 73%

I Have No Mouth, and I Must Rhyme: Uncovering Internal Phonetic Representations in LLaMA 3.2

Oliver McLaughlin, Arjun Khurana, Jack Merullo

机构 * Brown University(布朗大学)

专题命中 指令微调 :large language model(abstract);language model(abstract);分类 cs.CL、cs.LG

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2510.13778 2025-10-16 cs.RO cs.AI cs.CV 70%

InternVLA-M1: A Spatially Guided Vision-Language-Action Framework for Generalist Robot Policy

Xinyi Chen, Yilun Chen, Yanwei Fu, Ning Gao, Jiaya Jia, Weiyang Jin, Hao Li, Yao Mu, Jiangmiao Pang, Yu Qiao, Yang Tian, Bin Wang, Bolun Wang, Fangjing Wang, Hanqing Wang, Tai Wang, Ziqin Wang, Xueyuan Wei, Chao Wu, Shuai Yang, Jinhui Ye, Junqiu Yu, Jia Zeng, Jingjing Zhang, Jinyu Zhang, Shi Zhang, Feng Zheng, Bowen Zhou, Yangkun Zhu

机构 * Intern Robotics Shanghai AI Laboratory(Intern Robotics上海AI实验室)

专题命中 指令微调 :post-training(abstract);prompting(abstract);分类 cs.AI

Comments Technical report

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2505.10425 2025-10-16 cs.LG 70%

Learning to Think: Information-Theoretic Reinforcement Fine-Tuning for LLMs

Jingyao Wang, Wenwen Qiang, Zeen Song, Changwen Zheng, Hui Xiong

机构 * Institute of Software, Chinese Academy of Sciences(中国科学院软件研究所) University of Chinese Academy of Sciences(中国科学院大学) The Hong Kong University of Science and Technology (Guangzhou)(香港科技大学(广州))

专题命中 指令微调 :large language model(abstract);language model(abstract);分类 cs.LG

Comments Accepted by NeurIPS2025

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2510.13264 2025-10-16 physics.optics 50%

Generative model for information metamaterial design

Jun Ming Hou, Long Chen, Xuan Zheng, Jia Wei Wu, Jian Wei You, Zi Xuan Cai, Jiahan Huang, Chen Xu Wu, Jian Lin Su, Lianlin Li, Jia Nan Zhang, Tie Jun Cui

专题命中 指令微调 :foundation model(abstract)

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2508.21458 2025-10-16 cs.CV 50%

Federated Fine-tuning of SAM-Med3D for MRI-based Dementia Classification

Kaouther Mouheb, Marawan Elbatel, Janne Papma, Geert Jan Biessels, Jurgen Claassen, Huub Middelkoop, Barbara van Munster, Wiesje van der Flier, Inez Ramakers, Stefan Klein, Esther E. Bron

机构 * Dept. of Radiology \& Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands The Hong Kong University of Science Technology, Hong Kong SAR Dept. of Neurology, Erasmus MC, Rotterdam, the Netherlands Dept. of Neurology, UMC Utrecht, Utrecht, the Netherlands Dept. of Geriatrics, Radboud UMC, Nijmegen, the Netherlands Dept. of Neurology, Leiden UMC, Leiden, the Netherlands Dept. of Internal Medicine, UMC Groningen, Groningen, the Netherlands Dept. of Neurology, Amsterdam UMC location VUmc, Amsterdam, the Netherlands Dept. of Psychiatry \& Psychology, Maastricht UMC, Maastricht, the Netherlands

专题命中 指令微调 :foundation model(abstract)

Comments Accepted at the MICCAI 2025 Workshop on Distributed, Collaborative and Federated Learning (DeCAF)

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2505.23179 2025-10-16 cs.CV 50%

DIP-R1: Deep Inspection and Perception with RL Looking Through and Understanding Complex Scenes

Sungjune Park, Hyunjun Kim, Junho Kim, Seongho Kim, Yong Man Ro

机构 * Integrated Vision and Language Lab., School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST)(整合视觉与语言实验室,电气工程学院,韩国科学技术院(KAIST))

专题命中 指令微调 :SFT(abstract)

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