**Unlocking Lossless Speedups in LLMs via Discrete Diffusion** > Large Language

**Unlocking Lossless Speedups in LLMs via Discrete Diffusion**

> Large Language Models (LLMs) owe much of their success to next-token prediction (NTP), but their autoregressive (AR) structure requires slow, sequential token generation. To overcome this bottleneck, we introduce diffusion-augmented LLMs, a new class of models that defines an AR model distribution while using diffusion to draw multiple tokens in parallel from that distribution. We decouple the parameters of these mod...

**来源信息**
- **来源**：HuggingFace Daily Papers（社区热门论文）
- **分类**：ai-products
- **发布时间**：2026-09-08 08:00（北京时间）
- **原文**：[打开原文](https://huggingface.co/papers/2609.04010)