LLM relevance judgments align with physician trainees on only about 45 to 66 percent of sentences, and pruning contexts to physician-labeled relevant sentences improves LLM and trainee accuracy.
Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answer- ing.Transactions of the Association for Computational Linguistics, 12:681–699, 2024
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MedPAIR: Measuring Physicians and AI Relevance Alignment in Medical Question Answering
LLM relevance judgments align with physician trainees on only about 45 to 66 percent of sentences, and pruning contexts to physician-labeled relevant sentences improves LLM and trainee accuracy.