Continuous Diffusion Code Generation in a Few or Single Steps

·2026.09.08 07:34

Key point

A study has been released that transforms language models into continuous spaces and distills them to perform code generation in a single step.

Details

A new approach has been proposed that enables language models to generate code in a single step. This study utilizes a continuous diffusion model instead of traditional discrete token-based language models.

The core methods are as follows:

Transform language representations into a continuous space.
Generate code through a diffusion process.
Distill the generation trajectory to compress inference steps to 1 step.

The study has been published as a paper on arXiv, and the implementation code is available on GitHub.

llm code-generation research arxiv diffusion-models

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