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Rethinking the Roles of Diffusion and Decoding: Predictive-State Flows for Parallel Language Generation

arXiv:2610.12898v1 Announce Type: new Abstract: In continuous diffusion language models (DLMs), latents generated by the diffusion prior are mapped almost deterministically to tokens, either by a decoder or through a token embedding matrix. Unlike in image generation, where visual details can vary…

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  1. 2026-10-12 04:00 · arXiv cs.CL
    Rethinking the Roles of Diffusion and Decoding: Predictive-State Flows for Parallel Language Generation

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