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Agents struggle to act effectively in 3D scenes, with none of the eleven evaluated VLMs achieving consistent performance across diverse tasks.
Early tokens in LLMs can lead to compounding errors, but CPPO's position-sensitive approach offers a solution that boosts reasoning accuracy and training stability.
