AI RESEARCH
Who Benefits from RAG? The Role of Exposure, Utility and Attribution Bias
arXiv CS.AI
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ArXi:2603.24218v1 Announce Type: cross Large Language Models (LLMs) enhanced with Retrieval-Augmented Generation (RAG) have achieved substantial improvements in accuracy by grounding their responses in external documents that are relevant to the user's query. However, relatively little work has investigated the impact of RAG in terms of fairness.