Kai-Wen Zheng

Distilled Continuous Diffusion Language Models Can Write Code in Few Steps---or One

Language generation is almost universally treated as a sequential process: autoregressive models emit one token at a time, while diffusion language models replace token-level seriality with a long trajectory of iterative refinement. In this work, we introduce PlaidQ, a 0.7B continuous diffusion language model for code...