A dual clinical-computational taxonomy for medical LLM reasoning plus a five-level 5k-sample benchmark showing specialists excel at diagnosis and general models at decision support/dialogue.
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2 Pith papers cite this work, alongside 6 external citations. Polarity classification is still indexing.
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2026 2representative citing papers
Reformulates MST as PUBO, applies FALQON to optimize prototypes for OPF classifiers, and reports accuracies comparable to classical Prim's algorithm on real datasets.
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Aligning Clinical Needs and AI Capabilities: A Survey on LLMs for Medical Reasoning
A dual clinical-computational taxonomy for medical LLM reasoning plus a five-level 5k-sample benchmark showing specialists excel at diagnosis and general models at decision support/dialogue.