One-step Language Modeling via Continuous Denoising

Export BriefConnect with Author
View PDF ↗
PDF Viewer
Open Full PDF

BUILDER'S SANDBOX

Build This Paper

Use an AI coding agent to implement this research.

OpenAI Codex
OpenAI CodexAI Agent

Lightweight coding agent in your terminal.

Claude Code
Claude CodeAI Agent

Agentic coding tool for terminal workflows.

AntiGravity IDE
AntiGravity IDEScaffolding

AI agent mindset installer and workflow scaffolder.

Cursor
CursorIDE

AI-first code editor built on VS Code.

VS Code
VS CodeIDE

Free, open-source editor by Microsoft.

Estimated $10K - $14K over 6-10 weeks.

See exactly what it costs to build this -- with 3 comparable funded startups.

7-day free trial. Cancel anytime.

Discover the researchers behind this paper and find similar experts.

7-day free trial. Cancel anytime.

References (62)

[1]
Joint Distillation for Fast Likelihood Evaluation and Sampling in Flow-based Models
2025Xinyue Ai, Yutong He et al.
[2]
Improved Mean Flows: On the Challenges of Fastforward Generative Models
2025Zhengyang Geng, Yiyang Lu et al.
[3]
Terminal Velocity Matching
2025Linqi Zhou, Mathias Parger et al.
[4]
ParallelBench: Understanding the Trade-offs of Parallel Decoding in Diffusion LLMs
2025Wonjun Kang, Kevin Galim et al.
[5]
Continuously Augmented Discrete Diffusion model for Categorical Generative Modeling
2025Huangjie Zheng, Shansan Gong et al.
[6]
Training Agents Inside of Scalable World Models
2025Danijar Hafner, Wilson Yan et al.
[7]
Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference
2025Yuxuan Song, Zheng Zhang et al.
[8]
Mercury: Ultra-Fast Language Models Based on Diffusion
2025Samar Khanna, Siddhant Kharbanda et al.
[9]
Align Your Flow: Scaling Continuous-Time Flow Map Distillation
2025Amirmojtaba Sabour, Sanja Fidler et al.
[10]
The Diffusion Duality
2025S. Sahoo, Justin Deschenaux et al.
[11]
Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding
2025Chengyue Wu, Hao Zhang et al.
[12]
Mean Flows for One-step Generative Modeling
2025Zhengyang Geng, Mingyang Deng et al.
[13]
Entropic Time Schedulers for Generative Diffusion Models
2025Dejan Stancevic, Luca Ambrogioni
[14]
TESS 2: A Large-Scale Generalist Diffusion Language Model
2025Jaesung Tae, Hamish Ivison et al.
[15]
Continuous Diffusion Model for Language Modeling
2025Jaehyeong Jo, Sung Ju Hwang
[16]
Large Language Diffusion Models
2025Shen Nie, Fengqi Zhu et al.
[17]
Simple Guidance Mechanisms for Discrete Diffusion Models
2024Yair Schiff, S. Sahoo et al.
[18]
Beyond Autoregression: Fast LLMs via Self-Distillation Through Time
2024Justin Deschenaux, Caglar Gulcehre
[19]
One Step Diffusion via Shortcut Models
2024Kevin Frans, Danijar Hafner et al.
[20]
Distillation of Discrete Diffusion through Dimensional Correlations
2024Satoshi Hayakawa, Yuhta Takida et al.

Showing 20 of 62 references

Founder's Pitch

"Accelerate language model generation with a flow-based denoising approach outperforming discrete diffusion in both speed and quality."

Language ModelingScore: 7View PDF ↗

Commercial Viability Breakdown

0-10 scale

High Potential

2/4 signals

5

Quick Build

3/4 signals

7.5

Series A Potential

4/4 signals

10

Sources used for this analysis

arXiv Paper

Full-text PDF analysis of the research paper

GitHub Repository

Code availability, stars, and contributor activity

Citation Network

Semantic Scholar citations and co-citation patterns

Community Predictions

Crowd-sourced unicorn probability assessments

Analysis model: GPT-4o · Last scored: 2/18/2026

Explore the full citation network and related research.

7-day free trial. Cancel anytime.

Understand the commercial significance and market impact.

7-day free trial. Cancel anytime.

Get detailed profiles of the research team.

7-day free trial. Cancel anytime.

Related Papers

Loading…