AINeutralarXiv – CS AI · 10h ago6/10
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Beyond Relevance: Utility-Centric Retrieval in the LLM Era
A research paper proposes a fundamental shift in how retrieval systems are evaluated, moving from traditional relevance-based metrics toward utility-centric optimization for large language models. This framework argues that retrieval effectiveness should be measured by its contribution to LLM-generated answer quality rather than document ranking alone, reflecting the structural changes introduced by retrieval-augmented generation (RAG) systems.