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Routing LLM judges based on their roles can significantly enhance evaluation efficiency and effectiveness, revealing when to stop calling judges to optimize performance.
$\tau_0$-WM outperforms traditional models by seamlessly integrating action prediction and evaluation, leading to superior performance in complex robotic tasks.
