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News/MDM-Prime-v2: Binary Encoding and Index Shuffling Enable Scaling of Diffusion Language Models
arxiv
PublishedSeptember 3, 2026 at 4:00 AM

MDM-Prime-v2: Binary Encoding and Index Shuffling Enable Scaling of Diffusion Language Models

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arXiv:2603.16077v4 Announce Type: replace Abstract: Masked diffusion models (MDM) exhibit superior generalization when learned using a Partial masking scheme (Prime). This approach converts tokens into sub-tokens and models the diffusion process at the sub-token level. We identify two limitations of

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