Retrieval-Augmented Generation Must Move Beyond Factual Grounding to Represent Diverse Opinions 事件

Retrieval-Augmented Generation Must Move Beyond Factual Grounding to Represent Diverse Opinions arXiv:2604.12138v2 Announce Type: replace-cross Abstract: This position paper argues that Retrieval-Augmented Generation systems exhibit a systematic factual bias-optimizing for epistemic uncertainty reduction while ignoring the aleatoric uncertainty inherent in opinion-rich content - and that this misalignment demands a paradigm shift in retrieval system design. A survey of 35 major RAG benchmarks r