AI RESEARCH
Chain of Evidence: Pixel-Level Visual Attribution for Iterative Retrieval-Augmented Generation
arXiv CS.CL
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ArXi:2605.01284v1 Announce Type: cross Iterative Retrieval-Augmented Generation (iRAG) has emerged as a powerful paradigm for answering complex multi-hop questions by progressively retrieving and reasoning over external documents.