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DiffPDE achieves faster and more accurate PDE code repair by focusing only on localized errors, challenging the inefficiencies of existing autoregressive methods.
Robots can now understand your gestures, not just your words, leading to more intuitive and efficient human-robot collaboration in cluttered environments.
VLN agents can now navigate more effectively by reasoning about their own state and task progress, closing the gap between end-to-end VLMs and explicit scene mapping.