--- title: README emoji: ๐Ÿ‘€ colorFrom: gray colorTo: gray sdk: static pinned: false --- We introduce a novel recipe for building an ultra-fast diffusion language model named [d3LLM](https://github.com/hao-ai-lab/d3llm) (pseuDo-Distilled Diffusion LLM) ๐Ÿš€, a new metric [AUP (Accuracy Under Parallelism)](https://hao-ai-lab.github.io/blogs/text-diffusion/) that captures both accuracy and parallelism๐Ÿ“Š, along with a [Leaderboard](https://huggingface.co/spaces/d3LLM/dLLM_Leaderboard) ๐Ÿ† for various diffusion LLMs. ```bibtex @article{arxiv'26:d3llm, title = {d3LLM: Ultra-Fast Diffusion LLM using Pseudo-Trajectory Distillation}, author = {Yu-Yang Qian and Junda Su and Lanxiang Hu and Peiyuan Zhang and Zhijie Deng and Peng Zhao and Hao Zhang}, journal = {ArXiv preprint}, volume = {arXiv:2601.07568}, year = {2026} } ```