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This work takes the other half of the classical transform-coding toolkit instead: keep every token and vary its rate, and preserves the model's output distribution and its answers better than uniform-rate coding, the closed-form water-fill and distortion-ranked pruning.
Global vision--language similarities compress an image and a caption into one vector, preserving semantics but not which word corresponds to which region or how those regions are arranged; a model can recognize every word and object yet prefer a compositionally incorrect caption. We argue that a frozen encoder retains...
This work introduces Dyn-3D, a benchmark using counterfactual 3D rendering to rigorously decouple visual changes from true kinematic properties and proposes the TempoVista framework, featuring the Kinematic-GSPO algorithm.
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