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Limits of Confidence in Diffusion

Discrete diffusion, including remasking and uniform-state samplers, generate a sequence by writing multiple token positions per step, drawing each from a per-position distribution and choosing which positions to write from those same distributions. For domains of general interest (pixels, phonemes,…

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  1. 2026-10-02 00:00 · Apple Machine Learning Research
    Limits of Confidence in Diffusion

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