语言大模型 / LLM

UpSafe$^\circ$C: Upcycling for Controllable Safety in Large Language Models

Yuhao Sun, Zhuoer Xu, Shiwen Cui, Kun Yang, Lingyun Yu, Yongdong Zhang, Hongtao Xie

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

Investigating ReLoRA: Effects on the Learning Dynamics of Small Language Models

Yuval Weiss, David Demitri Africa, Paula Buttery, Richard Diehl Martinez

机构 * University of Cambridge（剑桥大学） 纠错

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

Comments 12 Pages, 6 Tables, 8 Figures

Quagmires in SFT-RL Post-Training: When High SFT Scores Mislead and What to Use Instead

Feiyang Kang, Michael Kuchnik, Karthik Padthe, Marin Vlastelica, Ruoxi Jia, Carole-Jean Wu, Newsha Ardalani

机构 * FAIR at Meta（Meta 的 FAIR） ； Meta 纠错

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

Comments Preprint. Under Review

Bridging Collaborative Filtering and Large Language Models with Dynamic Alignment, Multimodal Fusion and Evidence-grounded Explanations

Bo Ma, LuYao Liu, Simon Lau, Chandler Yuan, and XueY Cui, Rosie Zhang

机构 * Department of Software \& Microelectronics, Peking University, Beijing, China ； Economic Law School, China University of Political Science ； Financial Media, Peking University, ChangSha, China 纠错

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

OR-Toolformer: Modeling and Solving Operations Research Problems with Tool Augmented Large Language Models

Jianzhang Zhang, Jialong Zhou, Chuang Liu

机构 * Alibaba Business School（阿里巴巴商业学院） ； Hangzhou Normal University（杭州师范大学） 纠错

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

Efficient Training of Robust Traditional Chinese LLaMA-1B on a Single Consumer GPU: Continual Pre-training, SFT, and DPO

Yu-Cheng Chih, Ming-Tao Duan, Yong-Hao Hou

专题命中 指令微调 ：SFT(title,abstract)；language model(abstract,comments)；small language model(abstract,comments)；preference optimization(abstract)

Comments 17 pages, 1 figures, 2 tables. Technical report. Introduces PureTC-1B, an adapter-based pipeline for stabilizing Small Language Models in Traditional Chinese using CPT, SFT, and DPO

Fine-tuning with RAG for Improving LLM Learning of New Skills

Humaid Ibrahim, Nikolai Rozanov, Marek Rei

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 Under review at ICLR 2026

Data Selection for Fine-tuning Vision Language Models via Cross Modal Alignment Trajectories

Nilay Naharas, Dang Nguyen, Nesihan Bulut, Mohammadhossein Bateni, Vahab Mirrokni, Baharan Mirzasoleiman

机构 * Department of Computer Science, University of California Los Angeles（加州大学洛杉矶分校计算机科学系） ； Google Research（谷歌研究） 纠错

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

Comments 30 pages, 10 figures, 5 tables, link: https://bigml-cs-ucla.github.io/XMAS-project-page/

LLM Based Sentiment Classification From Bangladesh E-Commerce Reviews

Sumaiya Tabassum

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

Patch-as-Decodable-Token: Towards Unified Multi-Modal Vision Tasks in MLLMs

Yongyi Su, Haojie Zhang, Shijie Li, Nanqing Liu, Jingyi Liao, Junyi Pan, Yuan Liu, Xiaofen Xing, Chong Sun, Chen Li, Nancy F. Chen, Shuicheng Yan, Xulei Yang, Xun Xu

机构 * South China University of Technology（华南理工大学） ； Institute for Infocomm Research (I 2 R), A*STAR（信息通信研究所（I 2 R），A*STAR） ； WeChat Vision, Tencent Inc.（微信视觉，腾讯公司） ； Foshan University（佛山大学） ； Nanyang Technological University（南洋理工大学） ； National University of Singapore（新加坡国立大学） 纠错

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

Comments 24 pages, 12 figures and 9 tables

Initialization using Update Approximation is a Silver Bullet for Extremely Efficient Low-Rank Fine-Tuning

Kaustubh Ponkshe, Raghav Singhal, Eduard Gorbunov, Alexey Tumanov, Samuel Horvath, Praneeth Vepakomma

机构 * Mohamed bin Zayed University of Artificial Intelligence（穆罕默德·本·扎耶德人工智能大学） ； Georgia Institute of Technology（佐治亚理工学院） ； Massachusetts Institute of Technology（麻省理工学院） 纠错

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

Comments Kaustubh Ponkshe and Raghav Singhal contributed equally to this work

Robust Prompt Tuning for Vision-Language Models with Mild Semantic Noise

Yansheng Gao, Yufei Zheng, Shengsheng Wang

机构 * College of Computer Science and Technology, Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University（计算机科学与技术学院、教育部符号计算与知识工程重点实验室、吉林大学） ； College of Software, Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University（软件学院、教育部符号计算与知识工程重点实验室、吉林大学） 纠错

专题命中 指令微调 ：language model(title)