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Real-time semantic corrections during video generation can drastically enhance visual fidelity and coherence without retraining the model.
Gazer achieves semantic correction in autoregressive visual models without any training, leading to improved output quality and accuracy.
SkillHarness cuts the unsafe skill learning rate by over 57%, transforming how CUAs operate in unpredictable environments.
