机构
*
Tencent AI Lab(腾讯AI实验室)
;
Tencent Multimodal Department(腾讯多模态部门)
;
University of North Carolina at Chapel Hill(北卡罗来纳大学夏洛特分校)
;
University of Virginia(弗吉尼亚大学)
;
University of Maryland, College Park(马里兰大学学院公园分校)
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、cs.LG
LLMs Have Rhythm: Fingerprinting Large Language Models Using Inter-Token Times and Network Traffic Analysis
Saeif Alhazbi, Ahmed Mohamed Hussain, Gabriele Oligeri, Panos Papadimitratos
机构
*
College of Science and Engineering (CSE), Hamad Bin Khalifa University (HBKU)(哈马德·本·卡伊夫大学科学与工程学院)
;
Networked Systems Security Group, KTH Royal Institute of Technology -- Stockholm, Sweden(瑞典皇家理工学院网络系统安全组)
专题命中
效率与部署
:large language model(title,abstract);language model(title,abstract);small language model(abstract);分类 cs.CL、cs.AI、cs.LG
Beware of Calibration Data for Pruning Large Language Models
Yixin Ji, Yang Xiang, Juntao Li, Qingrong Xia, Ping Li, Xinyu Duan, Zhefeng Wang, Min Zhang
机构
*
School of Computer Science and Technology, Soochow University(苏州大学计算机科学与技术学院)
;
Key Laboratory of Data Intelligence and Advanced Computing, Soochow University(苏州大学数据智能与先进计算重点实验室)
;
Huawei Cloud, China(华为云(中国))
专题命中
效率与部署
:large language model(title,abstract);language model(title,abstract);post-training(abstract);分类 cs.CL、cs.AI、cs.LG
CommentsPublished as a conference paper at ICLR 2025
CompactifAI: Extreme Compression of Large Language Models using Quantum-Inspired Tensor Networks
Andrei Tomut, Saeed S. Jahromi, Abhijoy Sarkar, Uygar Kurt, Sukhbinder Singh, Faysal Ishtiaq, Cesar Muñoz, Prabdeep Singh Bajaj, Ali Elborady, Gianni del Bimbo, Mehrazin Alizadeh, David Montero, Pablo Martin-Ramiro, Muhammad Ibrahim, Oussama Tahiri Alaoui, John Malcolm, Samuel Mugel, Roman Orus
机构
*
Multiverse Computing(多维计算公司)
;
Catalan Institute of Nanoscience and Nanotechnology (ICN2)(加泰罗尼亚纳米科学与纳米技术研究所)
;
The Barcelona Institute of Science and Technology(巴塞罗那科学技术研究院)
;
Donostia International Physics Center(多斯蒂亚国际物理中心)
;
Centre for Social Innovation(社会创新中心)
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、cs.LG
Comments5 pages, 4 figures, 2 tables, and supplementary information of 2 pages and 1 figure. Revised version with new benchmarks for LlaMA2-7B
Journal refProceedings of the 33rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2025), Bruges, Belgium, pp. 531-537, April 2025. ISBN: 9782875870926
Few-Shot Optimization for Sensor Data Using Large Language Models: A Case Study on Fatigue Detection
Elsen Ronando, Sozo Inoue
机构
*
Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology(九州工学院生命科学与系统工程研究生院)
;
Department of Informatics, Universitas 17 Agustus 1945 Surabaya(Surabaya 17 August 1945 大学信息系)
专题命中
效率与部署
:large language model(title,abstract);language model(title,abstract);prompting(abstract);分类 cs.CL、cs.AI、cs.LG
Comments43 pages, 18 figures. Accepted for publication in MDPI Sensors (2025). Final version before journal publication
机构
*
Division of Information and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University(哈马德·本·卡西姆大学信息与计算技术学院)
;
College of Medicine, Howard University(霍华德大学医学院)
;
Department of Computer Science and Engineering, Qatar University(卡塔尔大学计算机科学与工程系)
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、cs.LG
专题命中
效率与部署
:LLM(title,abstract);foundation model(title,abstract);large language model(abstract);language model(abstract)
Comments43 pages, 6 figures, 5 tables. Due to the limitation "The abstract field cannot be longer than 1,920 characters", the abstract appearing here is slightly shorter than that in the PDF file