Evaluating large language models on a highly-specialized topic, radiation oncology physics

PURPOSE: We present the first study to investigate Large Language Models (LLMs) in answering radiation oncology physics questions. Because popular exams like AP Physics, LSAT, and GRE have large test-taker populations and ample test preparation resources in circulation, they may not allow for accura...

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Detalles Bibliográficos
Autores principales: Holmes, Jason, Liu, Zhengliang, Zhang, Lian, Ding, Yuzhen, Sio, Terence T., McGee, Lisa A., Ashman, Jonathan B., Li, Xiang, Liu, Tianming, Shen, Jiajian, Liu, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10388568/
https://www.ncbi.nlm.nih.gov/pubmed/37529688
http://dx.doi.org/10.3389/fonc.2023.1219326

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10388568/
https://www.ncbi.nlm.nih.gov/pubmed/37529688
http://dx.doi.org/10.3389/fonc.2023.1219326

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