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This paper introduces Tree of Evidence (ToE), a hierarchical and explainable claim verification framework that dynamically retrieves and aggregates multi-source evidence using reinforcement learning. Experiments show 4-24 percentage point improvements over baselines, especially against adversarially poisoned inputs from Generative Engine Optimization.
This paper introduces GranuVistaVQA, a multimodal benchmark with element-level annotations, and GranuRAG, a framework that treats visual elements as first-class retrieval units for verifiable multimodal RAG, achieving up to 29.2% improvement over baselines.