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Achieve 10x faster visuomotor control by shifting iterative refinement from slow inference to efficient training, preserving multimodal action fidelity in single-step robotic manipulation.
VLMs forget less when learning new tasks if you explicitly preserve the semantic relationships they learned during pre-training, especially in vulnerable regions identified with adversarial anchors.