---
id: 20260307-T0-13
title: "渐进式调控加速扩散语言模型解码"
title_en: "Progressive Control Accelerates Diffusion Model Decoding"
url: https://ai.daily.yangsir.net/daily/20260307-T0-13
issue_date: 2026-03-07
publish_date: 2026-03-06T05:00:00.000Z
source_name: "arXiv cs.AI"
source_url: https://arxiv.org/abs/2603.04514
---

# 渐进式调控加速扩散语言模型解码

研究团队提出渐进式调控机制优化扩散语言模型生成过程。传统方法对所有token采用统一去噪规则，而实际中不同token稳定速率差异大，导致大量冗余计算。新方法动态调整各token的迭代次数，实验显示生成速度提升2.1倍，能耗降低30%。该技术可直接应用于实时翻译和智能写作工具。

## English Version

**Progressive Control Accelerates Diffusion Model Decoding**

Researchers propose a progressive control mechanism to optimize diffusion language models. Traditional methods use uniform denoising rules for all tokens, but actual stability rates vary, causing redundant computations. The new approach dynamically adjusts iterations per token, boosting generation speed by 2.1x and reducing energy use by 30%. It can be directly applied to real-time translation and AI writing tools.

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**来源**：[arXiv cs.AI](https://arxiv.org/abs/2603.04514)

**详情页**：https://ai.daily.yangsir.net/daily/20260307-T0-13

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