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Robots can now perform complex manipulation tasks with greater success by dynamically routing between high-level VLM reasoning and specialized diffusion-based action models for arm and gripper control.
Machine translation gets a boost: a new reward model leverages comparative analysis of candidate translations to unlock reasoning abilities comparable to SOTA reasoning models.