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Achieve the same self-consistency with up to 75% less compute by intelligently allocating reasoning trajectories based on question difficulty.
Unlock human-like spatial reasoning in VLMs with VLM-3R, which reconstructs 3D understanding from monocular video using instruction tuning, bypassing the need for external depth sensors.