Acceleration of Diffusion Language Model through Discrete Average Generator

arXiv:2609.38364 · stat.ML, cs.AI, cs.LG · Submitted 2026-09-29 · Read on arXiv

stat.ML, cs.AI, cs.LG

Submitted: 2026-09-29

Updated: 2026-09-29

Project page: http://skylion007.github.io/OpenWebTextCorpus

Terminology

• Diffusion Model — 14× in this paper · explained in 8 episodes
• Diffusion Models — 14× in this paper · explained in 6 episodes
• Perplexity — 14× in this paper · explained in 3 episodes
• Distillation — 13× in this paper · explained in 2 episodes
• Flow Matching — 9× in this paper · explained in 8 episodes
• Consistency — 7× in this paper · explained in 3 episodes
• Inception Score — 5× in this paper
• Ablation — 4× in this paper · explained in 1 episode
• Conference on Computer Vision and Pattern Recognition — 4× in this paper
• Continuous-Time Markov Chain — 4× in this paper
• KV cache — 3× in this paper · explained in 3 episodes
• Distribution Matching — 2× in this paper · explained in 2 episodes
• Generative Modeling — 2× in this paper · explained in 3 episodes
• Hamming Distance — 2× in this paper · explained in 2 episodes
• Rectified Flow — 2× in this paper · explained in 3 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Activation Function — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• Nash Equilibrium — 1× in this paper · explained in 2 episodes
• Self-consistency — 1× in this paper · explained in 2 episodes
• Self-distillation — 1× in this paper · explained in 6 episodes

Sources

• Mean Flows for One-step Generative Modeling
• Improved Mean Flows: On the Challenges of Fastforward Generative Models
• The Llama 3 Herd of Models
• Flow Matching Guide and Code
• Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
• DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps
• Progressive Distillation for Fast Sampling of Diffusion Models
• Denoising Diffusion Implicit Models
• Error Analysis of Discrete Flow with Generator Matching

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