AI RESEARCH
Contradictions in Context: Challenges for Retrieval-Augmented Generation in Healthcare
arXiv CS.LG
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ArXi:2511.06668v2 Announce Type: replace-cross In high-stakes information domains such as healthcare, where large language models (LLMs) can produce hallucinations or misinformation, retrieval-augmented generation (RAG) has been proposed as a mitigation strategy, grounding model outputs in external, domain-specific documents. Yet, this approach can