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This paper introduces SURE, a framework for learning and leveraging relative strategy utility, which is defined as the likelihood that a strategy supports a correct downstream solution under a given executor.
QUAKE-CD represents binary change masks as grammar-constrained quadtree token sequences, making the masks compact, syntactically checkable, and deterministically decodable within an autoregressive generation space.
DIVE (Dynamic Iterative Visual Evidence Construction), a training-free framework that recasts visual-token pruning as dynamic evidence construction and builds a retained set of complementary, prompt-relevant evidence.
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