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Retrieval reasoning that learns from failures can dramatically boost the accuracy of multimodal retrieval systems.
Forget generic retrieval signals – UniDoc-RL uses reinforcement learning to teach LVLMs how to actively perceive and reason about visual information, yielding a 17.7% performance boost.
