A 5.8M-pair, literature-grounded medical QA corpus improves RAG accuracy and hallucination detection in LLMs compared with unstructured passage retrieval.
Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901, 2020
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MIRIAD: Augmenting LLMs with millions of medical query-response pairs
A 5.8M-pair, literature-grounded medical QA corpus improves RAG accuracy and hallucination detection in LLMs compared with unstructured passage retrieval.