BriefGPT.xyz
Dec, 2023
将大型语言模型凝聚用于将患者匹配到临床试验
Distilling Large Language Models for Matching Patients to Clinical Trials
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Mauro Nievas, Aditya Basu, Yanshan Wang, Hrituraj Singh
TL;DR
探究专有和开源大型语言模型在患者试验匹配任务中的有效性,并证明在有限和合成数据集上进行微调后,开源模型与专有模型性能相当,从而为它们在实际医疗应用中的部署提供了巨大机会。
Abstract
The recent success of
large language models
(LLMs) has paved the way for their adoption in the high-stakes domain of healthcare. Specifically, the application of LLMs in
patient-trial matching
, which involves ass
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