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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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Principais autores: Won-Yung Lee, Ji-Hwan Kim, Jungtae Leem, Byung-Wook Lee, Seungho Lee, Young Woo Kim
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2026-03-01
coleção:Applied Sciences
Assuntos:
traditional Asian medicine
large language model
tool augmentation
function calling
metadata
benchmark
Acesso em linha:https://www.mdpi.com/2076-3417/16/7/3377
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