语言大模型 / LLM

A Bayesian Hybrid Parameter-Efficient Fine-Tuning Method for Large Language Models

Yidong Chai, Yang Liu, Yonghang Zhou, Jiaheng Xie, Daniel Dajun Zeng

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

Memorization in Fine-Tuned Large Language Models

Danil Savine

机构 * PSL University（PSL大学） ； PRAIRIE Research Institute（PRAIRIE研究机构） 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

Tackling Distribution Shift in LLM via KILO: Knowledge-Instructed Learning for Continual Adaptation

Iing Muttakhiroh, Thomas Fevens

机构 * Concordia University（康科迪亚大学） 纠错

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

Following Route Instructions using Large Vision-Language Models: A Comparison between Low-level and Panoramic Action Spaces

Vebjørn Haug Kåsene, Pierre Lison

机构 * University of Oslo（奥斯陆大学） ； Norwegian Computing Center（挪威计算中心） 纠错

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

Comments This paper has been accepted to ICNSLP 2025

Towards Revealing the Effectiveness of Small-Scale Fine-tuning in R1-style Reinforcement Learning

Yutong Chen, Jiandong Gao, Ji Wu

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

Comments preprint

ZenFlow: Enabling Stall-Free Offloading Training via Asynchronous Updates

Tingfeng Lan, Yusen Wu, Bin Ma, Zhaoyuan Su, Rui Yang, Tekin Bicer, Masahiro Tanaka, Olatunji Ruwase, Dong Li, Yue Cheng

机构 * University of Virginia（弗吉尼亚大学） ； University of California, Merced（加州大学梅尔塞德斯分校） ； Argonne National Laboratory（阿贡国家实验室） ； Snowflake AI Research（Snowflake人工智能研究） 纠错

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

Comments 13 pages, 16 figures

LLM-based IR-system for Bank Supervisors

Ilias Aarab

机构 * European Central Bank（欧洲中央银行） 纠错

专题命中 指令微调 ：LLM(title)；分类 cs.AI、cs.LG

Journal ref Journal-ref: Knowledge-Based Systems 310 (2025) 112914

MoKA: Mixture of Kronecker Adapters

Mohammadreza Sadeghi, Mahsa Ghazvini Nejad, MirHamed Jafarzadeh Asl, Yu Gu, Yuanhao Yu, Masoud Asgharian, Vahid Partovi Nia

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

Leveraging Vision-Language Models for Visual Grounding and Analysis of Automotive UI

Benjamin Raphael Ernhofer, Daniil Prokhorov, Jannica Langner, Dominik Bollmann

机构 * SPARKS Solutions GmbH（SPARKS解决方案有限公司） 纠错

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

A Note on Code Quality Score: LLMs for Maintainable Large Codebases

Sherman Wong, Jalaj Bhandari, Leo Zhou Fan Yang, Xylan Xu, Yi Zhuang, Cem Cayiroglu, Payal Bhuptani, Sheela Yadawad, Hung Duong

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

Comments 24 pages, ICLR format

Light-IF: Endowing LLMs with Generalizable Reasoning via Preview and Self-Checking for Complex Instruction Following

Chenyang Wang, Liang Wen, Shousheng Jia, Xiangzheng Zhang, Liang Xu

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

Comments 12 pages, 10 figures, 7 tables

BrainECHO: Semantic Brain Signal Decoding through Vector-Quantized Spectrogram Reconstruction for Whisper-Enhanced Text Generation

Jilong Li, Zhenxi Song, Jiaqi Wang, Meishan Zhang, Honghai Liu, Min Zhang, Zhiguo Zhang

机构 * Harbin Institute of Technology, Shenzhen, China（哈尔滨工业大学（深圳）） ； Peng Cheng Laboratory, China（鹏城实验室） 纠错

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

Comments 8 pages (excluding references), accepted by Findings of ACL 2025

Journal ref Findings of the Association for Computational Linguistics: ACL 2025, pages 2762-2778, July 2025, Vienna, Austria

Fine-Tuning Text-to-Speech Diffusion Models Using Reinforcement Learning with Human Feedback

Jingyi Chen, Ju Seung Byun, Micha Elsner, Pichao Wang, Andrew Perrault

机构 * Department of Linguistics（语言学系） ； Department of Computer Science and Engineering（计算机科学与工程系） 纠错

专题命中 指令微调 ：RLHF(abstract)；分类 cs.AI

Comments 4 pages, 1 figure, INTERSPEECH 2025. arXiv admin note: text overlap with arXiv:2405.14632

Journal ref INTERSPEECH 2025

Causally Steered Diffusion for Automated Video Counterfactual Generation

Nikos Spyrou, Athanasios Vlontzos, Paraskevas Pegios, Thomas Melistas, Nefeli Gkouti, Yannis Panagakis, Giorgos Papanastasiou, Sotirios A. Tsaftaris

机构 * Spotify, UK（英国Spotify） 纠错

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

Aligning Constraint Generation with Design Intent in Parametric CAD

Evan Casey, Tianyu Zhang, Shu Ishida, William P. McCarthy, John Roger Thompson, Amir Khasahmadi, Joseph George Lambourne, Pradeep Kumar Jayaraman, Karl D. D. Willis

机构 * Autodesk Research（Autodesk研究院） 纠错

专题命中 指令微调 ：SFT(abstract)；分类 cs.LG

DreamVVT: Mastering Realistic Video Virtual Try-On in the Wild via a Stage-Wise Diffusion Transformer Framework

Tongchun Zuo, Zaiyu Huang, Shuliang Ning, Ente Lin, Chao Liang, Zerong Zheng, Jianwen Jiang, Yuan Zhang, Mingyuan Gao, Xin Dong

机构 * ByteDance Intelligent Creation（字节跳动智能创作） 纠错

专题命中 指令微调 ：language model(abstract)

Comments 18 pages, 12 figures