语言大模型 / LLM

Model Provenance Testing for Large Language Models

Ivica Nikolic, Teodora Baluta, Prateek Saxena

机构 * National University of Singapore（新加坡国立大学） ； Georgia Institute of Technology（佐治亚理工学院） 纠错

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

C-LoRA: Contextual Low-Rank Adaptation for Uncertainty Estimation in Large Language Models

Amir Hossein Rahmati, Sanket Jantre, Weifeng Zhang, Yucheng Wang, Byung-Jun Yoon, Nathan M. Urban, Xiaoning Qian

机构 * Texas A&M University（德克萨斯A&M大学） ； Brookhaven National Laboratory（布鲁克海文国家实验室） 纠错

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

Comments Conference on Neural Information Processing Systems (NeurIPS 2025)

Massive Supervised Fine-tuning Experiments Reveal How Data, Layer, and Training Factors Shape LLM Alignment Quality

Yuto Harada, Yusuke Yamauchi, Yusuke Oda, Yohei Oseki, Yusuke Miyao, Yu Takagi

机构 * NII LLMC（日本信息处理学会大语言模型中心） ； The University of Tokyo（东京大学） ； NAIST（日本科学技术大学） ； Nagoya Institute of Technology（名古屋技术大学） 纠错

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

Comments Accepted to EMNLP 2025 (Main Conference). Models and evaluation results available at: https://github.com/llm-jp/massive-sft

SecureReviewer: Enhancing Large Language Models for Secure Code Review through Secure-aware Fine-tuning

Fang Liu, Simiao Liu, Yinghao Zhu, Xiaoli Lian, Li Zhang

机构 * 1 State Key Laboratory of Complex \& Critical Software Environment, School of Computer Science ； Engineering, Beihang University, China 纠错

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

Comments Accepted by ICSE 2026. Code and data: https://github.com/SIMIAO515/SecureReviewer

Multi-Agent Evolve: LLM Self-Improve through Co-evolution

Yixing Chen, Yiding Wang, Siqi Zhu, Haofei Yu, Tao Feng, Muhan Zhang, Mostofa Patwary, Jiaxuan You

机构 * University of Illinois at Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校） ； Peking University（北京大学） ； NVIDIA（英伟达） 纠错

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

Comments 29 pages, 4 figures

SEA-LION: Southeast Asian Languages in One Network

Raymond Ng, Thanh Ngan Nguyen, Yuli Huang, Ngee Chia Tai, Wai Yi Leong, Wei Qi Leong, Xianbin Yong, Jian Gang Ngui, Yosephine Susanto, Nicholas Cheng, Hamsawardhini Rengarajan, Peerat Limkonchotiwat, Adithya Venkatadri Hulagadri, Kok Wai Teng, Yeo Yeow Tong, Bryan Siow, Wei Yi Teo, Wayne Lau, Choon Meng Tan, Brandon Ong, Zhi Hao Ong, Jann Railey Montalan, Adwin Chan, Sajeban Antonyrex, Ren Lee, Esther Choa, David Ong Tat-Wee, Bing Jie Darius Liu, William Chandra Tjhi, Erik Cambria, Leslie Teo

机构 * AI Singapore ； National University of Singapore（新加坡国立大学） ； Nanyang Technological University（南洋理工大学） 纠错

专题命中 指令微调 ：LLM(abstract)；large language model(abstract)；language model(abstract)；post-training(abstract)

Comments Accepted at IJCNLP-AACL 2025 (Main Track). We released our model at https://huggingface.co/collections/aisingapore/sea-lionv3-672589a39cdadd6a5b199581

Diversity as a Reward: Fine-Tuning LLMs on a Mixture of Domain-Undetermined Data

Zhenqing Ling, Daoyuan Chen, Liuyi Yao, Qianli Shen, Yaliang Li, Ying Shen

机构 * Sun Yat-sen University（中山大学） ； Alibaba Group（阿里巴巴集团） ； FSIETP 纠错

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

Comments Accepted by NeurIPS'25 main track. 47 pages, 21 figures, 32 tables

TinyTim: A Family of Language Models for Divergent Generation

Christopher J. Agostino

机构 * NPC Worldwide（NPC全球） 纠错

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

Comments 7 pages, 3 figures, accepted to NeurIPS Creative AI track, models available at https://hf.co/npc-worldwide/

Similarity-Distance-Magnitude Language Models

Allen Schmaltz

机构 * Reexpress AI 纠错

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

Comments 8 pages, 5 tables

Envisioning Future Interactive Web Development: Editing Webpage with Natural Language

Truong Hai Dang, Jingyu Xiao, Yintong Huo

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

Comments accepted by AIWare'25

Counteracting Matthew Effect in Self-Improvement of LVLMs through Head-Tail Re-balancing

Xin Guo, Zhiheng Xi, Yiwen Ding, Yitao Zhai, Xiaowei Shi, Xunliang Cai, Tao Gui, Qi Zhang, Xuanjing Huang

机构 * Fudan University（复旦大学） ； Meituan（美团） ； Shanghai Innovation Institute（上海创新研究院） 纠错

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

Comments Preprint

Neural Networks for Learnable and Scalable Influence Estimation of Instruction Fine-Tuning Data

Ishika Agarwal, Dilek Hakkani-Tür

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

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

MindGYM: What Matters in Question Synthesis for Thinking-Centric Fine-Tuning?

Zhe Xu, Daoyuan Chen, Zhenqing Ling, Yaliang Li, Ying Shen

机构 * Sun Yat-sen University（中山大学） ； Alibaba Group（阿里巴巴集团） ； FSIETP 纠错

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

Comments Accepted by NeurIPS'25. 30 pages, 2 figures, 13 tables

Fine-tuning Segment Anything for Real-Time Tumor Tracking in Cine-MRI

Valentin Boussot, Cédric Hémon, Jean-Claude Nunes, Jean-Louis Dillenseger

机构 * Univ Rennes 1（里昂大学） 纠错

专题命中 指令微调 ：foundation model(abstract)

Comments Paper for the Trackrad2025 challenge, Team BreizhTrack

TRUST-VL: An Explainable News Assistant for General Multimodal Misinformation Detection

Zehong Yan, Peng Qi, Wynne Hsu, Mong Li Lee

专题命中 指令微调 ：language model(abstract)

Comments EMNLP 2025 Oral; Project Homepage: https://yanzehong.github.io/trust-vl/