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The University of Tokyo
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Despite advances in VLMs, agents struggle with active perception in 3D environments, revealing a significant gap in performance compared to humans.
Ditch the energy functions: C-voting unlocks better test-time reasoning in recurrent models by simply picking the most confident trajectory.
