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Achieving up to 9x runtime speedup in discrete diffusion models could revolutionize their application in real-time tasks like molecular structure prediction and language generation.
Expert-level video aesthetics can be captured and improved using a hierarchical rubric and reward models trained with a progressive learning scheme.
