Key to Diffusion LMs Is Learning When to Commit to Tokens
furongh · x · 2026-07-06
Revealing an incorrect token too early locks in a bad constraint, while revealing highly dependent tokens in parallel can break consistency. Therefore, the real question isn't simply "can diffusion language models decode in parallel," but rather "can they learn when to commit?"
Related event: ICML 2026 Paper SAS: Optimizing Thought Scheduling in Diffusion LMs(15 posts)→
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