Distilled Continuous Diffusion Language Models Can Write Code in Few Steps---or One
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arXiv:2609.04531v1 Announce Type: new Abstract: Language generation is almost universally treated as a sequential process: autoregressive models emit one token at a time, while diffusion language models replace token-level seriality with a long trajectory of iterative refinement. In this work, we i…
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- 2026-09-07 04:00 · arXiv cs.LG
Distilled Continuous Diffusion Language Models Can Write Code in Few Steps---or One