As of Oct 12, Stanford's Hazy Research released NCM with a paper, code and blog post.
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Stanford's Hazy Research releases NCM, a non-autoregressive language model it says decodes up to 31x faster at matching quality
Hazy Research published this on Oct 12, 2026 (source: hazyresearch.stanford.edu).
Stanford's Hazy Research released NCM with a paper, code and blog post. The researchers report generation 31x faster than an autoregressive baseline on XSum at matching ROUGE-L, 21x faster on LM1B and 10x faster on OpenWebText. On Sudoku, they say NCM beats both autoregressive and diffusion models while using fewer function evaluations.