From EMR Data to Clinical Insight: An LLM-Driven Framework for Automated Pre-Consultation Questionnaire Generation
专题命中 领域大模型 :LLM(title,abstract);large language model(abstract);language model(abstract);分类 cs.AI
Comments 16 pages, 10 figures
AI 大模型
大语言模型、预训练、指令微调、后训练和语言模型应用。
专题命中 领域大模型 :LLM(title,abstract);large language model(abstract);language model(abstract);分类 cs.AI
Comments 16 pages, 10 figures
专题命中 领域大模型 :prompting(title,abstract);LLM(abstract);分类 cs.CL、cs.AI
专题命中 领域大模型 :language model(title,abstract);分类 cs.LG
专题命中 领域大模型 :foundation model(title,abstract);分类 cs.LG
Comments First two authors contributed equally. Code is available at: https://github.com/Panopticon-FM/panopticon. Accepted to CVPR 2025
Journal ref Proceedings of the Computer Vision and Pattern Recognition Conference (2025) 2204-2214
专题命中 领域大模型 :LLM(abstract);large language model(abstract);language model(abstract);分类 cs.CL、cs.AI
Comments Accepted at AIES 2025. To appear in the AIES Proceedings. 14 pages, 2 figures, 2 tables. Licensed under CC BY-SA 4.0
机构 * Monash University(墨尔本大学) ; Singapore Management University(新加坡管理大学)
专题命中 领域大模型 :LLM(abstract);large language model(abstract);language model(abstract);分类 cs.AI
机构 * Renmin University of China(中国人民大学) ; The Chinese University of Hong Kong(香港中文大学) ; Shenzhen University(深圳大学) ; City University of Hong Kong(香港城市大学) ; Peking University(北京大学) ; Massachusetts General Hospital and Harvard Medical School(麻省总医院和哈佛医学院)
专题命中 领域大模型 :large language model(abstract);language model(abstract);分类 cs.CL、cs.AI、cs.LG
专题命中 领域大模型 :large language model(abstract);language model(abstract)
Comments 78 pages. Undergraduate thesis project submitted in partial fulfillment of the requirements for the Bachelor's degree in Computer Science at Kutaisi International University
机构 * Timaeus ; Department of Computer Science, University of Oxford(计算机科学系,牛津大学) ; Department of Econometrics and Business Statistics, Monash University(计量经济学与商业统计系,墨尔本大学) ; School of Mathematics and Statistics, the University of Melbourne(数学与统计学系,墨尔本大学)
专题命中 领域大模型 :language model(abstract);分类 cs.CL、cs.AI、cs.LG
Comments To appear, TMLR. Material on essential dynamics from v1 of this preprint has been removed and developed in arXiv:2501.17745
机构 * MICS, CentraleSupélec - Université Paris-Saclay, France(MICS,中央圣艾尔布兰大学-巴黎萨克雷大学,法国) ; Google DeepMind, London, UK(谷歌DeepMind,伦敦,英国) ; CONICET, Universidad de Buenos Aires, Argentina(CONICET,布宜诺斯艾利斯大学,阿根廷)
专题命中 领域大模型 :language model(abstract,comments);分类 cs.CL;large language model(comments)
Comments Accepted to MICCAI 2025 1st Workshop on Multimodal Large Language Models (MLLMs) in Clinical Practice
专题命中 领域大模型 :LLM(abstract);分类 cs.CL、cs.LG