Benchmarking large language models for biomedical natural language processing applications and recommendations.

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Title: Benchmarking large language models for biomedical natural language processing applications and recommendations.
Authors: Chen Q; Department of Biomedical Informatics and Data Science, Yale School of Medicine, Yale University, New Haven, USA.; National Library of Medicine, National Institutes of Health, Maryland, USA., Hu Y; McWilliams School of Biomedical Informatics, University of Texas Health Science at Houston, Houston, USA., Peng X; Department of Biomedical Informatics and Data Science, Yale School of Medicine, Yale University, New Haven, USA., Xie Q; Department of Biomedical Informatics and Data Science, Yale School of Medicine, Yale University, New Haven, USA., Jin Q; National Library of Medicine, National Institutes of Health, Maryland, USA., Gilson A; Department of Ophthalmology and Visual Science, Yale School of Medicine, Yale University, New Haven, USA., Singer MB; Department of Ophthalmology and Visual Science, Yale School of Medicine, Yale University, New Haven, USA., Ai X; Department of Biomedical Informatics and Data Science, Yale School of Medicine, Yale University, New Haven, USA., Lai PT; National Library of Medicine, National Institutes of Health, Maryland, USA., Wang Z; National Library of Medicine, National Institutes of Health, Maryland, USA., Keloth VK; Department of Biomedical Informatics and Data Science, Yale School of Medicine, Yale University, New Haven, USA., Raja K; Department of Biomedical Informatics and Data Science, Yale School of Medicine, Yale University, New Haven, USA., Huang J; Department of Biomedical Informatics and Data Science, Yale School of Medicine, Yale University, New Haven, USA., He H; Department of Biomedical Informatics and Data Science, Yale School of Medicine, Yale University, New Haven, USA., Lin F; Department of Biomedical Informatics and Data Science, Yale School of Medicine, Yale University, New Haven, USA., Du J; McWilliams School of Biomedical Informatics, University of Texas Health Science at Houston, Houston, USA., Zhang R; Division of Computational Health Sciences, Department of Surgery, Medical School, University of Minnesota, Minneapolis, USA., Zheng WJ; McWilliams School of Biomedical Informatics, University of Texas Health Science at Houston, Houston, USA., Adelman RA; Department of Ophthalmology and Visual Science, Yale School of Medicine, Yale University, New Haven, USA., Lu Z; National Library of Medicine, National Institutes of Health, Maryland, USA., Xu H; Department of Biomedical Informatics and Data Science, Yale School of Medicine, Yale University, New Haven, USA.
Source: ArXiv [ArXiv] 2025 Apr 25. Date of Electronic Publication: 2025 Apr 25.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101759493 Publication Model: Electronic Cited Medium: Internet ISSN: 2331-8422 (Electronic) Linking ISSN: 23318422 NLM ISO Abbreviation: ArXiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2331-8422