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BELIEFRAG: Making Adaptive RAG State-Aware under Evolving Evidence

Adaptive RAG uses signals such as confidence, relevance, support, and retrieval quality to decide when to search or correct evidence. In multi-step retrieval, however, these local signals must be combined into a persistent view of what the current evidence supports, what remains missing, and which action should follow. Existing methods often use such signals as separate triggers, making it…

arxiv.org ·2026-09-30

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