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title: README
emoji: 👀
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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.
```bibtex
@inproceedings{ICML'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},
booktitle = {Proceedings of the 43rd International Conference on Machine Learning (ICML)},
pages = {to appear},
year = {2026}
}
``` |