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Review Open access Jul 2026

A Large Language Model Leaderboard for Clinical Note Entity Extraction

An LLM leaderboard showing how open-source LLMs perform at entity extraction on unseen clinical notes is developed, showing that large language models are already available that can perform entity extraction well enough to be considered in place of some administrative data.

E. Martin, Seungwon Lee, K. Riazi et al. · 0 citations