LLM-generated global and local rubrics transform text inputs into structured formats that improve supervised learning performance on 15 EHRSHOT clinical tasks over count-based, naive LLM, and large clinical foundation model baselines.
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LLMs can construct powerful representations and streamline sample-efficient supervised learning
LLM-generated global and local rubrics transform text inputs into structured formats that improve supervised learning performance on 15 EHRSHOT clinical tasks over count-based, naive LLM, and large clinical foundation model baselines.