Next-Concept Modeling (NCM) explained: generating text coarse-to-fine in ~12 parallel steps instead of one token at a time
Stanford's Hazy Research lab released NCM (arXiv:2610.14162). It works in two stages: A residual VQ tokenizer turns text into levels of codes, from coarse to fine. A transformer predicts one level at a time, with every code in a level predicted at once. The authors report: 21× faster on LM1B, 31× o…
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Timeline · 2 reports
- 2026-10-30 05:27 · r/deeplearning
Next-Concept Modeling (NCM) explained: generating text coarse-to-fine in ~12 parallel steps instead of one token at a time - 2026-10-30 05:23 · r/mlscaling
Next-Concept Modeling (NCM) explained: generating text coarse-to-fine in ~12 parallel steps instead of one token at a time