HAL (France)
open access
Ambiguity Detection in Medical Exams via Large Language Models: Retrospective Cross-Sectional Pilot Study
Abstract Background Large language models (LLMs) have emerged as promising tools in medical education due to their ability to understand, generate, and reason with natural language. Their ability to simulate expert reasoning suggests a potential for supporting quality control in assessment design. I
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