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Achieving a 40% performance boost in robot control without the heavy computational costs of traditional vision-language models could revolutionize how we leverage visual representations in robotics.
Straightening latent space trajectories with a simple curvature regularizer dramatically improves the stability and success of gradient-based planning in world models.
Vision models are far more data-hungry than language models, but Mixture-of-Experts can harmonize this asymmetry for truly unified multimodal models.
