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Transition-level comparisons in Dream2Reward reveal that even subtle missteps in robotic motion can be effectively penalized, leading to significantly improved learning outcomes.
DeltaFlow-P achieves a remarkable 2.72x speedup in denoising while reducing perplexity, challenging the dominance of full attention in language modeling.
