Benchmark Evaluation of a Tool-Augmented Large Language Model Agent Using Traditional Asian Medicine Metadata

This study evaluated a tool-augmented large language model (LLM) agent system utilizing a traditional Asian medicine (TAM) metadata. A structured information comprising 4780 entries across five entity types (herbs, syndromes, TCM symptoms, modern medicine symptoms, and acupoints) was constructed. Fo...

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Autors principals:	Won-Yung Lee, Ji-Hwan Kim, Jungtae Leem, Byung-Wook Lee, Seungho Lee, Young Woo Kim
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2026-03-01
Col·lecció:	Applied Sciences
Matèries:	traditional Asian medicine large language model tool augmentation function calling metadata benchmark
Accés en línia:	https://www.mdpi.com/2076-3417/16/7/3377
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