Article

Domain-Specific Fine-Tuning in a Retrieval-Augmented Generation Framework for Precision Geriatric Medical QA

2025-01-06

Abstract excerpt

Large language models (LLMs) have demonstrated remarkable general-purpose capabilities, yet they often struggle to accurately answer complex questions in specialized domains such as geriatric medicine. Although existing Retrieval-Augmented Generation (RAG) methods can mitigate hallucinations by leveraging external knowledge sources, these methods lack robust domain adaptation, resulting in persistent issues of ina...

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Literature Corpus work: a45c3f1d-701c-5c20-ad4c-5d5f9fdebad6
DOI: 10.20944/preprints202412.2424.v2

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