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Allocating extra computation during decision-making boosts robot manipulation success rates, revealing a critical strategy for handling complex tasks.
Current AI-generated videos that mislead viewers are also the most challenging for existing detection systems to identify, revealing a critical vulnerability in misinformation defenses.
SCOPE-Router not only outperforms existing VLM routing methods but does so while integrating cost considerations, redefining efficiency in model selection for execution-oriented tasks.
$\tau_0$-WM outperforms traditional models by seamlessly integrating action prediction and evaluation, leading to superior performance in complex robotic tasks.
