CoDR: Training-Free Confidence-Drift Remasking for Diffusion Language Models
Checks whether tokens committed earlier in diffusion decoding become less plausible as context fills in. CoDR remasks and regenerates those positions, testing targeted revision against extra-compute controls on reasoning and code tasks.
First public: · Added to this list: October 18, 2026
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arXiv:2610.08833 · Initial submission: 2026-09-28
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Alternative generation methods — Change how intermediate steps are generated, revised, or searched—for example, by refining several steps in parallel. These are related approaches: some still produce written chains of thought.
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