arXivDaily arXiv每日学术速递 周一至周五更新

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。

2025-11-05 至 2025-11-05 共收录 9 信号源:cs.CL, cs.AI, cs.LG

1. 指令微调 9 篇

2511.00130 2025-11-05 cs.LG 90%

A Comparative Analysis of LLM Adaptation: SFT, LoRA, and ICL in Data-Scarce Scenarios

Bernd Bohnet, Rumen Dangovski, Kevin Swersky, Sherry Moore, Arslan Chaudhry, Kathleen Kenealy, Noah Fiedel

机构 * Google(谷歌)

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

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2511.02423 2025-11-05 eess.SP 89%

LLM4PG: Adapting Large Language Model for Pathloss Map Generation via Synesthesia of Machines

Mingran Sun, Lu Bai, Xiang Cheng, Jianjun Wu

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

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2511.02234 2025-11-05 cs.MM cs.CL cs.SD 87%

An Evaluation of Interleaved Instruction Tuning on Semantic Reasoning Performance in an Audio MLLM

Jiawei Liu, Enis Berk Çoban, Zarina Schevchenko, Hao Tang, Zhigang Zhu, Michael I Mandel, Johanna Devaney

机构 * The Graduate Center, CUNY(CUNY研究生中心) Brooklyn College, CUNY(CUNY布鲁克林学院) Borough of Manhattan Community College, CUNY(CUNY曼哈顿社区学院) The City College of New York, CUNY(CUNY纽约城市学院)

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

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2510.12740 2025-11-05 cs.CL cs.AI 81%

Hey, wait a minute: on at-issue sensitivity in Language Models

Sanghee J. Kim, Kanishka Misra

机构 * The University of Chicago(芝加哥大学) The University of Texas at Austin(德克萨斯大学奥斯汀分校)

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

Comments 10 pages, 5 figures, 3 tables. See https://github.com/sangheek16/hey-wait-a-minute for code and data

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2503.23362 2025-11-05 cs.CL cs.AI 79%

Mixture of Routers

Jia-Chen Zhang, Yu-Jie Xiong, Xi-He Qiu, Chun-Ming Xia, Fei Dai, Zheng Zhou

机构 * School of Electronic and Electrical Engineering, Shanghai University of Engineering Science(电子电气工程学院,上海工程技术大学) Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University(计算神经科学与脑启发智能重点实验室,复旦大学)

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

Comments Under consideration at Pattern Recognition Letters

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2510.16888 2025-11-05 cs.CV 75%

Uniworld-V2: Reinforce Image Editing with Diffusion Negative-aware Finetuning and MLLM Implicit Feedback

Zongjian Li, Zheyuan Liu, Qihui Zhang, Bin Lin, Feize Wu, Shenghai Yuan, Zhiyuan Yan, Yang Ye, Wangbo Yu, Yuwei Niu, Shaodong Wang, Xinhua Cheng, Li Yuan

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

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2511.01941 2025-11-05 cs.SE cs.AI cs.CR 70%

Detecting Vulnerabilities from Issue Reports for Internet-of-Things

Sogol Masoumzadeh

机构 * Electrical and Computer Engineering(电气与计算机工程) McGill University(麦吉尔大学)

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

Comments ACCEPTED/To Appear in the Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering (ASE) 2025. https://conf.researchr.org/details/ase-2025/ase-2025-student-research-competition/5/Detecting-Vulnerabilities-from-Issue-Reports-for-Internet-of-Things

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2511.02395 2025-11-05 cs.CV cs.LG 57%

Self-Supervised Moving Object Segmentation of Sparse and Noisy Radar Point Clouds

Leon Schwarzer, Matthias Zeller, Daniel Casado Herraez, Simon Dierl, Michael Heidingsfeld, Cyrill Stachniss

机构 * CARIAD SE(CARIAD公司) TU Dortmund University(杜伊斯堡-艾森大学) University of Bonn(波恩大学) Lamarr Institute for Machine Learning and Artificial Intelligence(拉马尔人工智能与机器学习研究所)

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

Comments Accepted for publication at IEEE International Conference on Intelligent Transportation Systems (ITSC 2025), 8 pages, 3 figures

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2511.02128 2025-11-05 q-bio.BM 50%

DL4Proteins Jupyter Notebooks Teach how to use Artificial Intelligence for Biomolecular Structure Prediction and Design

Michael Chungyoun, Gabe Au, Britnie Carpentier, Sreevarsha Puvada, Courtney Thomas, Jeffrey J. Gray

专题命中 指令微调 :language model(abstract)

Comments 27 pages, 5 figures

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