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University of Science and Technology
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Achieving a 3.36-fold speedup in action generation, DriftingVLA eliminates the need for iterative refinement while maintaining high performance in robot control tasks.
Generation-first training eliminates latent collapse, achieving unprecedented stability and performance in latent generative modeling.
