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Evaluating large language models on medical evidence summarization
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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
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 |
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por Tang, Liyan, Sun, Zhaoyi, Idnay, Betina, Nestor, Jordan G, Soroush, Ali, Elias, Pierre A., Xu, Ziyang, Ding, Ying, Durrett, Greg, Rousseau, Justin, Weng, Chunhua, Peng, Yifan
Publicado 2023
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Publicado 2023
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Online
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Texto