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Autoregressive video generation gets a 1.8x speed boost and avoids temporal drift by denoising all blocks hierarchically at the same noise level.
Iteratively prompting a graph neural network at test time to amplify out-of-distribution signals dramatically improves OOD detection accuracy.
