arxivcs.CLcs.AIcs.LG2026-07-07
Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering
Felix Feldman, Joshua Harris, Timothy Laurence, Leo Loman, Ollie Higgins, Fan Grayson, et al.
Large language models (LLMs) achieve promising results on medical question answering benchmarks, yet their use in public health is constrained by hallucinations and the rapid evolution of official guidance. Retrieval-Augmented Generation (RAG) mitigates these risks by grounding r…