Doc-V* proposes a coarse-to-fine interactive visual reasoning agent for multi-page document VQA that aggregates evidence selectively via semantic retrieval and targeted fetching, outperforming baselines by up to 47.9% on out-of-domain tasks.
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Doc-V*:Coarse-to-Fine Interactive Visual Reasoning for Multi-Page Document VQA
Doc-V* proposes a coarse-to-fine interactive visual reasoning agent for multi-page document VQA that aggregates evidence selectively via semantic retrieval and targeted fetching, outperforming baselines by up to 47.9% on out-of-domain tasks.