Together AI and Stanford Propose Next-Concept Modeling, Up to 31x Faster Than Diffusion LMs

Together AI and Stanford's HazyResearch introduced Next-Concept Modeling (NCM), which adapts image-domain VAR ideas to text via a multi-scale VQ-VAE and hierarchical parallel generation of discrete concepts, differing from next-token prediction. The paper reports speeds up to 31x faster than diffusion language models.

2026-10-23 ~ 2026-10-23 · 3 related posts

• Together AI and Stanford's Next-Concept Modeling: 10-31x faster than diffusion LMs at equal quality — jiqizhixin · 2026-10-23
• NCM brings VAR-style multiscale discrete generation to text with parallel per-level decoding — burny_tech · 2026-10-23
• Next-Concept Modeling paper claims 31x faster text generation than diffusion LLM baselines — PanelReader · 2026-10-23