---
format: "aidr-story-markdown/v1"
id: "9dc08365b01ed84526ae5f08a437abfd1395953ffeb22a18a0a86a7d4a5ec65b"
canonical_url: "https://aidr.today/9dc08365?lang=en"
title: "Next-Concept Modeling: Fast, Parallel Coarse-to-Fine Text Generation"
lang: "en"
requested_lang: "en"
available_langs: ["en","vi"]
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published_at: "2026-10-23T17:25:34.000Z"
category: "Research"
topics: ["inference"]
source_urls: ["https://arxiv.org/abs/2610.14162","https://lobste.rs/s/d1snfg/next_concept_modeling_fast_parallel"]
summary: "Next-Concept Modeling (NCM) is a two-stage, coarse-to-fine text generation framework using a multiscale residual VQ-VAE and a transformer, achieving better generative perplexity than diffusion language models on LM1B while running 21 times faster."
---

# Next\-Concept Modeling: Fast, Parallel Coarse\-to\-Fine Text Generation

> [Open the canonical story](<https://aidr.today/9dc08365?lang=en>)

**Published:** 2026-10-23T17:25:34.000Z
**Category:** Research
**Topics:** inference

## Summary

Next\-Concept Modeling \(NCM\) is a two\-stage, coarse\-to\-fine text generation framework using a multiscale residual VQ\-VAE and a transformer, achieving better generative perplexity than diffusion language models on LM1B while running 21 times faster\.

## Sources

- [Story source](<https://arxiv.org/abs/2610.14162>)
- [Discussion](<https://lobste.rs/s/d1snfg/next_concept_modeling_fast_parallel>)