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LingBot-VA 2.0 achieves few-shot generalization in complex robot manipulation tasks, outperforming traditional video generative models.
Unbounded interaction horizons and real-time responsiveness redefine the possibilities for immersive AI-driven environments.
Achieving a 93% recovery rate for Earth-size transits, TransitNet outperforms traditional methods while maintaining a compact model size and high inference speed.
Breaking the symmetry in adversarial distillation allows AAD-1 to generate videos that maintain dynamic motion without collapsing into static sequences.
