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RAG-Stress: Probing the Limits of Evidence Reliance in Retrieval-Augmented Generation
Following retrieved evidence does not guarantee factual correctness: misleading evidence can induce a model to replace an answer it previously gave correctly. Standard accuracy measures obscure this behavior by combining answer replacement with preexisting errors. We introduce RAG-Stress, a controll
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