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When Scientific Evidence Collides
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Transcripció
Scientific RAG retrieves contradictory studies, forcing its generator to reconcile conclusions that disagree.
It may produce incoherent answers, combine incompatible claims, or sound overconfident without support.
Reranking, critique, and evidence comparison help identify irrelevant material and refine the response.
Uncertainty, source tracing, and human review matter, especially when advice could affect patient safety.
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- MEGA-RAG: a retrieval-augmented generation framework with multi-evidence guided answer refinement for mitigating hallucinations of LLMs in public health - PMC
- Retrieval-Augmented Generation for Large Language Models: A Survey
- Retrieval augmented generation for large language models in healthcare: A systematic review
- Retrieval-Augmented Generation with Conflicting Evidence
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