An expert-in-the-loop framework with per-class uncertainty sampling improves LLM classification of clinical notes more than random sampling and most automated baselines.
L.; Franco, I.; Kann, B
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Keeping Experts in the Loop: Expert-Guided Optimization for Clinical Data Classification using Large Language Models
An expert-in-the-loop framework with per-class uncertainty sampling improves LLM classification of clinical notes more than random sampling and most automated baselines.