18 citations · 27 across the 9 of their papers we have counts for
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cs.CL2024
Open (Clinical) LLMs are Sensitive to Instruction Phrasings
Alberto Mario Ceballos Arroyo, Monica Munnangi, Jiuding Sun +4
Instruction-tuned Large Language Models (LLMs) can perform a wide range of tasks given natural language instructions to do so, but they are sensitive to how such instructions are p…
cs.AI2024★ 1 cited
Towards Reducing Diagnostic Errors with Interpretable Risk Prediction
Denis Jered McInerney, William Dickinson, Lucy C. Flynn +4
Many diagnostic errors occur because clinicians cannot easily access relevant information in patient Electronic Health Records (EHRs). In this work we propose a method to use LLMs…