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Department of Computer Science, University of Toronto, Vector Institute for Artificial Intelligence, Senior Fellow, Canadian Institute for Advanced Research (CIFAR)
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FactorDiff reveals that dynamically routing sample factors to specialized experts can dramatically enhance reasoning performance in discrete diffusion models.
DEHP dramatically boosts the success rates of high-precision robotic tasks by dynamically adjusting execution horizons based on task complexity.