语言大模型 / LLM - arXivDaily 专题

2507.21162 2025-07-30 cs.AI cs.LG cs.SY eess.SY 90%

Large Language Model Powered Automated Modeling and Optimization of Active Distribution Network Dispatch Problems

Xu Yang, Chenhui Lin, Yue Yang, Qi Wang, Haotian Liu, Haizhou Hua, Wenchuan Wu

专题命中效率与部署：large language model(title,abstract)；language model(title,abstract)；LLM(abstract)；分类 cs.AI、cs.LG

2507.21107 2025-07-30 cs.CL cs.AI 90%

Curved Inference: Concern-Sensitive Geometry in Large Language Model Residual Streams

Rob Manson

专题命中效率与部署：large language model(title,abstract)；language model(title,abstract)；LLM(abstract)；分类 cs.CL、cs.AI

Comments 29 pages, 22 figures

2507.21435 2025-07-30 cs.HC 89%

MindChat: Enhancing BCI Spelling with Large Language Models in Realistic Scenarios

JIaheng Wang, Yucun Zhong, Chengjie Huang, Lin Yao

专题命中效率与部署：large language model(title,abstract)；language model(title,abstract)；LLM(abstract)

2407.08279 2025-07-30 cs.AI 88%

Continually Learn to Map Visual Concepts to Large Language Models in Resource-constrained Environments

Clea Rebillard, Julio Hurtado, Andrii Krutsylo, Lucia Passaro, Vincenzo Lomonaco

机构 * Bordeaux INP - ENSEIRB-MATMECA（波尔多 INP - ENSEIRB-MATMECA）； CAMaCS, University of Warwick（Warwick 大学 CAMaCS 实验室）； Institute of Computer Science Polish Academy of Sciences（波兰科学院计算机科学研究所）； University of Pisa（比萨大学）

专题命中效率与部署：large language model(title,abstract)；language model(title,abstract)；分类 cs.AI

2507.21276 2025-07-30 cs.AI cs.CL cs.DC 86%

LeMix: Unified Scheduling for LLM Training and Inference on Multi-GPU Systems

Yufei Li, Zexin Li, Yinglun Zhu, Cong Liu

机构 * University of California, Riverside（加州大学河滨分校）

专题命中效率与部署：LLM(title,abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI

Comments Accepted by RTSS 2025

2507.20018 2025-07-30 cs.CY cs.AI cs.CL 86%

The Carbon Cost of Conversation, Sustainability in the Age of Language Models

Sayed Mahbub Hasan Amiri, Prasun Goswami, Md. Mainul Islam, Mohammad Shakhawat Hossen, Sayed Majhab Hasan Amiri, Naznin Akter

专题命中效率与部署：language model(title,abstract)；LLM(abstract)；large language model(abstract)；分类 cs.CL、cs.AI

Comments 22 Pages, 5 Tables

2507.21653 2025-07-30 cs.LG cs.AI 84%

DGP: A Dual-Granularity Prompting Framework for Fraud Detection with Graph-Enhanced LLMs

Yuan Li, Jun Hu, Bryan Hooi, Bingsheng He, Cheng Chen

专题命中效率与部署：prompting(title,abstract)；LLM(abstract)；分类 cs.AI、cs.LG

2507.21947 2025-07-30 cs.CV cs.AI 83%

Enhancing Generalization in Data-free Quantization via Mixup-class Prompting

Jiwoong Park, Chaeun Lee, Yongseok Choi, Sein Park, Deokki Hong, Jungwook Choi

机构 * HyperAccel ； KRAFTON ； SK Telecom ； Rebellions ； Hanyang University（翰阳大学）

专题命中效率与部署：prompting(title,abstract)；post-training(abstract)；分类 cs.AI

2507.20511 2025-07-30 cs.CV 82%

Beyond Class Tokens: LLM-guided Dominant Property Mining for Few-shot Classification

Wei Zhuo, Runjie Luo, Wufeng Xue, Linlin Shen

机构 * School of Artificial Intelligence and the National Engineering Laboratory of Big Data System Computing Technology, Shenzhen University（人工智能学院和大数据系统计算技术国家工程实验室，深圳大学）； School of Biomedical Engineering, Shenzhen University Medical School（生物医学工程学院，深圳大学医学院）

专题命中效率与部署：LLM(title,abstract)；language model(abstract)

Comments 11 pages, 7 figures

2507.21454 2025-07-30 eess.SP 80%

Transmission With Machine Language Tokens: A Paradigm for Task-Oriented Agent Communication

Zhuoran Xiao, Chenhui Ye, Yijia Feng, Yunbo Hu, Tianyu Jiao, Liyu Cai, Guangyi Liu

专题命中效率与部署：LLM(abstract)；large language model(abstract)；language model(abstract)；foundation model(abstract)

Comments Accepted by IEEE Globecom 2025

2506.05413 2025-07-30 cs.CL cs.AI cs.LG 80%

SmoothRot: Combining Channel-Wise Scaling and Rotation for Quantization-Friendly LLMs

Patrik Czakó, Gábor Kertész, Sándor Szénási

机构 * Doctoral School of Applied Informatics and Applied Mathematics, Obuda University（应用信息学与应用数学博士学院，奥布达大学）； John von Neumann Faculty of Informatics, Obuda University（约翰·冯·诺依曼信息学院，奥布达大学）

专题命中效率与部署：large language model(abstract)；language model(abstract)；post-training(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments 6 pages, 3 figures, 5 tables. Accepted to IEEE SMC 2025 conference proceedings

2507.21103 2025-07-30 cs.IR cs.CL 79%

Analise Semantica Automatizada com LLM e RAG para Bulas Farmaceuticas

Daniel Meireles do Rego

专题命中效率与部署：LLM(title)；language model(abstract)；分类 cs.CL

Comments in Portuguese language

2506.19651 2025-07-30 cs.CV cs.LG cs.PF 79%

PEVLM: Parallel Encoding for Vision-Language Models

Letian Kang, Shixian Luo, Yiqiang Li, Yuxin Yin, Shenxuan Zhou, Xiaoyang Yu, Jin Yang, Yong Wu

机构 * Li Auto Inc.（利自动公司）

专题命中效率与部署：language model(title,abstract)；分类 cs.LG

2507.21482 2025-07-30 cs.CL cs.AI 79%

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs

Abhinav Arabelly, Jagrut Nemade, Robert D Nowak, Jifan Zhang

机构 * University of Wisconsin–Madison（威斯康星大学麦迪逊分校）

专题命中效率与部署：large language model(abstract)；language model(abstract)；SFT(abstract)；分类 cs.CL、cs.AI

2412.03248 2025-07-30 cs.CV cs.AI cs.CL 79%

AIM: Adaptive Inference of Multi-Modal LLMs via Token Merging and Pruning

Yiwu Zhong, Zhuoming Liu, Yin Li, Liwei Wang

机构 * The Chinese University of Hong Kong（香港中文大学）； University of Wisconsin-Madison（威斯康星大学麦迪逊分校）

专题命中效率与部署：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI

Comments Accepted to ICCV 2025

2507.21521 2025-07-30 cs.CV 78%

Optimizing Active Learning in Vision-Language Models via Parameter-Efficient Uncertainty Calibration

Athmanarayanan Lakshmi Narayanan, Amrutha Machireddy, Ranganath Krishnan

机构 * Intel Labs（英特尔实验室）； Intel Corporation（英特尔公司）

专题命中效率与部署：language model(title,abstract)

Comments International Joint Conference on Neural Networks 2025 (Accepted)

2410.22296 2025-07-30 cs.LG q-bio.QM 77%

Generalists vs. Specialists: Evaluating LLMs on Highly-Constrained Biophysical Sequence Optimization Tasks

Angelica Chen, Samuel D. Stanton, Frances Ding, Robert G. Alberstein, Andrew M. Watkins, Richard Bonneau, Vladimir Gligorijević, Kyunghyun Cho, Nathan C. Frey

机构 * Center for Data Science, New York University, New York City, U.S.A.（数据科学中心，纽约大学，纽约市，美国）

专题命中效率与部署：large language model(abstract)；language model(abstract)；prompting(abstract)；分类 cs.LG

Comments Supercedes arXiv:2407.00236v1. arXiv admin note: text overlap with arXiv:2407.00236

2507.21786 2025-07-30 cs.CV 75%

MSGCoOp: Multiple Semantic-Guided Context Optimization for Few-Shot Learning

Zhaolong Wang, Tongfeng Sun, Mingzheng Du, Yachao Huang

机构 * School of Computer Science and Technology, China University of Mining and Technology（计算机科学与技术学院，中国矿业大学）

专题命中效率与部署：LLM(abstract)；large language model(abstract)；language model(abstract)

2507.21327 2025-07-30 quant-ph 75%

Pushing the Limits of LLMs in Quantum Operations

Dayton C. Closser, Zbigniew J. Kabala

专题命中效率与部署：LLM(abstract)；large language model(abstract)；language model(abstract)

Comments 17 pages, 25 figures, 12 tables. To be submitted to Quantum

2505.24640 2025-07-30 cs.CL cs.AI 73%

Efficient Text Encoders for Labor Market Analysis

Jens-Joris Decorte, Jeroen Van Hautte, Chris Develder, Thomas Demeester

机构 * Internet and Data Science Lab (IDLab), Ghent University – imec, Ghent, Belgium（互联网与数据科学实验室（IDLab）、根特大学–imec、根特、比利时）； Data Science Lab (IDLab), Ghent University – imec, Ghent, Belgium（数据科学实验室（IDLab）、根特大学–imec、根特、比利时）

专题命中效率与部署：large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI

Comments This work has been submitted to the IEEE for possible publication

Journal ref IEEE Access, vol. 0, Jul. 2025

2507.21138 2025-07-30 cs.CL cs.AI cs.LG cs.SD eess.AS 67%

TTS-1 Technical Report

Oleg Atamanenko, Anna Chalova, Joseph Coombes, Nikki Cope, Phillip Dang, Zhifeng Deng, Jimmy Du, Michael Ermolenko, Feifan Fan, Yufei Feng, Cheryl Fichter, Pavel Filimonov, Louis Fischer, Kylan Gibbs, Valeria Gusarova, Pavel Karpik, Andreas Assad Kottner, Ian Lee, Oliver Louie, Jasmine Mai, Mikhail Mamontov, Suri Mao, Nurullah Morshed, Igor Poletaev, Florin Radu, Dmytro Semernia, Evgenii Shingarev, Vikram Sivaraja, Peter Skirko, Rinat Takhautdinov, Robert Villahermosa, Jean Wang

专题命中效率与部署：language model(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments 20 pages, 10 figures. For associated modeling and training code, see https://github.com/inworld-ai/tts

2505.05049 2025-07-30 cs.CV 67%

UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model

Timo Kaiser, Thomas Norrenbrock, Bodo Rosenhahn

机构 * Institute for Information Processing / L3S - Leibniz University Hannover, Germany（信息处理研究所 / L3S - 哈根大学）

专题命中效率与部署：foundation model(abstract)；prompting(abstract)

Comments Accepted to ICML'25

2507.21353 2025-07-30 cs.CV cs.LG 57%

Group Relative Augmentation for Data Efficient Action Detection

Deep Anil Patel, Iain Melvin, Zachary Izzo, Martin Renqiang Min

机构 * NEC Laboratories America（NEC美洲实验室）

专题命中效率与部署：language model(abstract)；分类 cs.LG

2411.17799 2025-07-30 cs.CV cs.CL 57%

Signs as Tokens: A Retrieval-Enhanced Multilingual Sign Language Generator

Ronglai Zuo, Rolandos Alexandros Potamias, Evangelos Ververas, Jiankang Deng, Stefanos Zafeiriou

机构 * Imperial College London（伦敦帝国学院）

专题命中效率与部署：language model(abstract)；分类 cs.CL

Comments Accepted by ICCV 2025

1. 效率与部署 24 篇