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Relevance is not enough: A Communication-Oriented Retrieval System for Consequential Scientific Question Answering

Nakarmi, Avina et al.
arXiv (All) · Papers
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information-retrieval
AI systems increasingly answer scientific questions about health, safety, and the environment. But most retrieval-augmented generation systems are tuned to provide factually correct, on-topic answers rather than to help non-experts understand what those answers mean for their lives and decisions. We
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