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Scalar rewards in on-policy distillation tell tokens to gain or lose probability without specifying where that mass should actually go鈥攆raming distillation as explicit pairwise probability transport eliminates this background leakage and beats reverse-KL across reasoning tasks.
MoSaiC captures motion dynamics in point cloud videos more effectively than existing methods, leading to superior performance in action recognition and segmentation tasks.