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Achieving up to a 72.81脳 speedup in long-sequence inference could redefine efficiency standards for Diffusion Language Models.
Internal visual modality entropy can serve as a reliable self-evaluation metric for action generation in heterogeneous VLA architectures, outperforming traditional methods.
