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Vocabulary-size-independent Convergence of Discrete Diffusion Models: adjoint equations induce the right space
Discrete diffusion has become a leading framework for generative modeling in various applications including language, vision, and biology. Existing convergence theory, however, exhibits fundamental limitations. KL-based analyses diverge under singular priors such as the masked distribution, while bo
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