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Zhejiang University
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TASPO bridges the supervision-credit gap in reinforcement learning, leading to a 10.6% performance boost over traditional methods.
Achieve state-of-the-art fine-grained visual recognition without training by adaptively invoking reasoning in a Large Vision-Language Model only when needed, significantly reducing computational overhead.
