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Forget fixed residual connections: Attention Residuals let each layer selectively attend to previous layers, boosting performance and gradient flow in deep LLMs.
Achieve 93% damage-free success in fragile object grasping by fusing diffusion-based planning with real-time force feedback, outperforming state-of-the-art reactive diffusion policies.
