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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.
Socially intelligent LLMs are still far from reaching their potential, with top models only hitting 72% accuracy in social reasoning tasks.
