Medical Question Answering System Based on Retrieval-augmented Generation
This study investigates the feasibility and reliability of Retrieval-Augmented Generation (RAG) in medical question-answering tasks. To address issues such as hallucination and lack of traceability in large language models (LLMs) in medical contexts, a medical knowledge base was constructed using th...
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
EDP Sciences
2026-01-01
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| Serija: | ITM Web of Conferences |
| Online dostop: | https://www.itm-conferences.org/articles/itmconf/pdf/2026/04/itmconf_atcids2026_01001.pdf |
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