语言大模型 / LLM

Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges

Haoran Lu, Luyang Fang, Ruidong Zhang, Xinliang Li, Jiazhang Cai, Huimin Cheng, Lin Tang, Ziyu Liu, Zeliang Sun, Tao Wang, Yingchuan Zhang, Arif Hassan Zidan, Jinwen Xu, Jincheng Yu, Meizhi Yu, Hanqi Jiang, Xilin Gong, Weidi Luo, Bolun Sun, Yongkai Chen, Terry Ma, Shushan Wu, Yifan Zhou, Junhao Chen, Haotian Xiang, Jing Zhang, Afrar Jahin, Wei Ruan, Ke Deng, Yi Pan, Peilong Wang, Jiahui Li, Zhengliang Liu, Lu Zhang, Lin Zhao, Wei Liu, Dajiang Zhu, Xin Xing, Fei Dou, Wei Zhang, Chao Huang, Rongjie Liu, Mengrui Zhang, Yiwen Liu, Xiaoxiao Sun, Qin Lu, Zhen Xiang, Wenxuan Zhong, Tianming Liu, Ping Ma

机构 * Department of Statistics, University of Georgia（统计学系，佐治亚大学） ； School of Computing, University of Georgia（计算学院，佐治亚大学） ； Department of Biostatistics, Boston University（生物统计学系，波士顿大学） ； Department of Epidemiology & Biostatistics, University of Georgia（流行病学与生物统计学系，佐治亚大学） ； School of Computer and Cyber Sciences, Augusta University（计算机与网络科学学院，奥古斯塔大学） ； School of Electrical and Computer Engineering, University of Georgia（电气与计算机工程学院，佐治亚大学） ； Department of Statistics & Data Science, University of Arizona（统计学与数据科学系，亚利桑那大学） ； Kellogg School of Management, Northwestern University（凯洛格管理学院，西北大学） ； Department of Statistics, Harvard University（统计学系，哈佛大学） ； School of Computer Science, Carnegie Mellon University（计算机科学学院，卡内基梅隆大学） 纠错

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

Comments 119 pages, 10 figures, 7 tables

A Large Language Model-Supported Threat Modeling Framework for Transportation Cyber-Physical Systems

M Sabbir Salek, Mashrur Chowdhury, Muhaimin Bin Munir, Yuchen Cai, Mohammad Imtiaz Hasan, Jean-Michel Tine, Latifur Khan, Mizanur Rahman

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

Adopting Large Language Models to Automated System Integration

Robin D. Pesl

机构 * University of Stuttgart, Stuttgart, Germany（斯图加特大学） 纠错

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

Comments This preprint has not undergone peer review (when applicable) or any post-submission improvements or corrections. The Version of Record of this contribution is published in Intelligent Information Systems. CAiSE 2025. Lecture Notes in Business Information Processing, vol 557. Springer, Cham., and is available online at https://doi.org/10.1007/978-3-031-94590-8_37

Journal ref Intelligent Information Systems. CAiSE 2025. Lecture Notes in Business Information Processing, vol 557. Springer, Cham

The Impact of Fine-tuning Large Language Models on Automated Program Repair

Roman Macháček, Anastasiia Grishina, Max Hort, Leon Moonen

机构 * Simula Research Laboratory（Simula研究实验室） ； University of Bern（伯尔尼大学） 纠错

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

Comments Accepted for publication in the research track of the 41th International Conference on Software Maintenance and Evolution (ICSME 2025)

Mind the Gap: Conformative Decoding to Improve Output Diversity of Instruction-Tuned Large Language Models

Max Peeperkorn, Tom Kouwenhoven, Dan Brown, Anna Jordanous

机构 * School of Computing University of Kent（肯特大学计算机学院） ； Leiden Institute of Advanced Computer Science Universiteit Leiden（莱顿先进计算机科学研究所） ； Cheriton School of Computer Science University of Waterloo（滑铁卢大学查里顿计算机科学学院） 纠错

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

Comments 9 pages, 3 figures

Motion-example-controlled Co-speech Gesture Generation Leveraging Large Language Models

Bohong Chen, Yumeng Li, Youyi Zheng, Yao-Xiang Ding, Kun Zhou

机构 * State Key Lab of CAD\&CG, Zhejiang University Hangzhou China ； State Key Lab of CAD\&CG, Zhejiang University 纠错

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

Comments SIGGRAPH 2025; Project Page: https://robinwitch.github.io/MECo-Page

LoX: Low-Rank Extrapolation Robustifies LLM Safety Against Fine-tuning

Gabriel J. Perin, Runjin Chen, Xuxi Chen, Nina S. T. Hirata, Zhangyang Wang, Junyuan Hong

机构 * University of São Paulo（圣保罗大学） ； University of Texas at Austin（德克萨斯大学奥斯汀分校） 纠错

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

Reinforcement learning fine-tuning of language model for instruction following and math reasoning

Yifu Han, Geo Zhang

机构 * Stanford University（斯坦福大学） 纠错

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

Affordance-Guided Reinforcement Learning via Visual Prompting

Olivia Y. Lee, Annie Xie, Kuan Fang, Karl Pertsch, Chelsea Finn

机构 * Stanford University（斯坦福大学） ； Cornell University（康奈尔大学） ； University of California, Berkeley（加州大学伯克利分校） 纠错

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

Comments 8 pages, 6 figures. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2025

Learning to Clarify: Multi-turn Conversations with Action-Based Contrastive Self-Training

Maximillian Chen, Ruoxi Sun, Tomas Pfister, Sercan Ö. Arık

机构 * Google（谷歌） ； Columbia University（哥伦比亚大学） 纠错

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

Comments ICLR 2025; Code: https://github.com/google-research/google-research/tree/master/learning_to_clarify

Do Language Models Mirror Human Confidence? Exploring Psychological Insights to Address Overconfidence in LLMs

Chenjun Xu, Bingbing Wen, Bin Han, Robert Wolfe, Lucy Lu Wang, Bill Howe

机构 * University of Washington（华盛顿大学） ； Allen Institute for AI（人工智能研究所） 纠错

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

Comments Accepted by ACL 2025 Findings, 20 pages

Otter: A Multi-Modal Model with In-Context Instruction Tuning

Bo Li, Yuanhan Zhang, Liangyu Chen, Jinghao Wang, Fanyi Pu, Joshua Adrian Cahyono, Jingkang Yang, Ziwei Liu

专题命中 指令微调 ：instruction tuning(title,abstract)；分类 cs.CL

Comments Accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025

Finetuning Stellar Spectra Foundation Models with LoRA

Xiaosheng Zhao, Yuan-Sen Ting, Alexander S. Szalay, Yang Huang

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

Comments 7 pages, 2 figures. Accepted to the Machine Learning for Astrophysics (ML4Astro) Colocated Workshop at ICML 2025. Presented as a spotlight talk

One Last Attention for Your Vision-Language Model

Liang Chen, Ghazi Shazan Ahmad, Tianjun Yao, Lingqiao Liu, Zhiqiang Shen

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

Comments Accepted by ICCV 2025

The Impact of LoRA Adapters on LLMs for Clinical Text Classification Under Computational and Data Constraints

Thanh-Dung Le, Ti Ti Nguyen, Vu Nguyen Ha, Symeon Chatzinotas, Philippe Jouvet, Rita Noumeir

机构 * Biomedical Information Processing Lab, \' E cole de Technologie Sup\' e rieure, Montr\' e al, Qu\' e bec, Canada ； The Interdisciplinary Centre for Security, Reliability ； Trust (SnT), University of Luxembourg, Luxembourg ； CHU Sainte-Justine Research Center, CHU Sainte-Justine Hospital, University of Montreal, Montr\' e al, Qu\' e bec, Canada 纠错

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

Comments Accepted for publication in the IEEE Access

AI-Driven Generation of Old English: A Framework for Low-Resource Languages

Rodrigo Gabriel Salazar Alva, Matías Nuñez, Cristian López, Javier Martín Arista

机构 * Universidad de Ingeniería y Tecnología (UTEC)（Ingeniería y Tecnología大学（UTEC）） ； Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)（国家科学与技术研究理事会（CONICET）） ； Instituto de Investigaciones en Biodiversidad y Medioambiente (INIBIOMA), Universidad Nacional del Comahue（生物多样性与环境研究所（INIBIOMA），Comahue国立大学） ； Universidad de La Rioja（拉里奥ja大学） 纠错

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

Efficient Learning for Product Attributes with Compact Multimodal Models

Mandar Kulkarni

机构 * Flipkart Data Science（Flipkart数据科学） 纠错

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

Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation

Zhan Zhuang, Xiequn Wang, Wei Li, Yulong Zhang, Qiushi Huang, Shuhao Chen, Xuehao Wang, Yanbin Wei, Yuhe Nie, Kede Ma, Yu Zhang, Ying Wei

机构 * Southern University of Science（南方科技大学） ； City University of Hong Kong（香港城市大学） ； Zhejiang University（浙江大学） ； Hong Kong University of Science（香港科学大学） ； University of Surrey（萨里大学） ； New York University（纽约大学） 纠错

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

Comments Accepted by ICML 2025. Code link: https://github.com/zwebzone/coto

SAMwave: Wavelet-Driven Feature Enrichment for Effective Adaptation of Segment Anything Model

Saurabh Yadav, Avi Gupta, Koteswar Rao Jerripothula

机构 * IIIT Delhi（印度德里理工学院） ； IIT Kanpur（印度坎pur理工学院） 纠错

专题命中 指令微调 ：foundation model(abstract)

Comments Accepted to BMVC 2025. The first two authors contributed equally