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Continuous Diffusion Scales Competitively with Discrete Diffusion for Language

Yang, Zhihan et al.
arXiv (All) · Papers
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artificial-intelligencecomputation-and-languagemachine-learning
While diffusion has drawn considerable recent attention from the language modeling community, continuous diffusion has appeared less scalable than discrete approaches. To challenge this belief we revisit Plaid, a likelihood-based continuous diffusion language model (DLM), and construct RePlaid by al
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