77 citations · 97 across the 23 of their papers we have counts for
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cs.CL2023
Measuring Pointwise -Usable Information In-Context-ly
Sheng Lu, Shan Chen, Yingya Li +3
In-context learning (ICL) is a new learning paradigm that has gained popularity along with the development of large language models. In this work, we adapt a recently proposed hard…
cs.CY2023
Considerations for health care institutions training large language models on electronic health records
Weipeng Zhou, Danielle Bitterman, Majid Afshar +1
Large language models (LLMs) like ChatGPT have excited scientists across fields; in medicine, one source of excitement is the potential applications of LLMs trained on electronic h…
cs.CL2023★ 77 cited
Evaluation of ChatGPT Family of Models for Biomedical Reasoning and Classification
Shan Chen, Yingya Li, Sheng Lu +4
Recent advances in large language models (LLMs) have shown impressive ability in biomedical question-answering, but have not been adequately investigated for more specific biomedic…