A three-stage RAG pipeline generates a cited summary (GenText) from PubMed Central passages and ranks health documents by topical relevance plus alignment with that summary, outperforming baselines on CLEF eHealth and TREC Health Misinformation 2020.
In: International Conference on AI-generated Content, pp
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Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy
A three-stage RAG pipeline generates a cited summary (GenText) from PubMed Central passages and ranks health documents by topical relevance plus alignment with that summary, outperforming baselines on CLEF eHealth and TREC Health Misinformation 2020.