Existing Diffusion LM Decoding Schedules Are Too Short-Sighted
furongh · x · 2026-07-06
The author points out that most decoding schedules in diffusion language models are manually designed (e.g., based on confidence, entropy, boundaries, or left-to-right). While fast, these methods are myopic: they only ask "which token looks easy right now?" whereas true reasoning requires a deeper question: "which reveal will make solving the rest easier?"
Related event: ICML 2026 Paper SAS: Optimizing Thought Scheduling in Diffusion LMs(15 posts)→
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