| --- |
| title: README |
| emoji: 👀 |
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| colorTo: gray |
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| --- |
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| 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) 🚀, a new metric [AUP (Accuracy Under Parallelism)](https://hao-ai-lab.github.io/blogs/text-diffusion/) that captures both accuracy and parallelism📊, along with a [Leaderboard](https://huggingface.co/spaces/d3LLM/dLLM_Leaderboard) 🏆 for various diffusion LLMs. |
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| ```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} |
| } |
| ``` |
