Knowing–Doing Gap

A phenomenon observed in AI models, particularly medical large language models, referring to the disparity between a model's knowledge recall ability and its actual reasoning and application capability. Models may perform well on knowledge-based assessments while failing to achieve commensurate performance in real-world reasoning and decision-making tasks.