Evaluating large language models on medical evidence summarization

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Recent advances in large language models (LLMs) have demonstrated remarkable successes in zero- and few-shot performance on various downstream tasks, paving the way for applications in high-stakes domains. In this study, we systematically examine the capabilities and limitations of LLMs, specificall...

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Detalles Bibliográficos
Autores principales: Tang, Liyan, Sun, Zhaoyi, Idnay, Betina, Nestor, Jordan G., Soroush, Ali, Elias, Pierre A., Xu, Ziyang, Ding, Ying, Durrett, Greg, Rousseau, Justin F., Weng, Chunhua, Peng, Yifan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10449915/
https://www.ncbi.nlm.nih.gov/pubmed/37620423
http://dx.doi.org/10.1038/s41746-023-00896-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10449915/
https://www.ncbi.nlm.nih.gov/pubmed/37620423
http://dx.doi.org/10.1038/s41746-023-00896-7

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