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Internal visual modality entropy can serve as a reliable self-evaluation metric for action generation in heterogeneous VLA architectures, outperforming traditional methods.
Modality Balance can be harnessed as a powerful form of privileged information, leading to substantial gains in reasoning performance for multimodal models.
