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We introduce a novel recipe for building an ultra-fast diffusion language model named d3LLM (pseuDo-Distilled Diffusion LLM) πŸš€, along with a Leaderboard πŸ† for various diffusion LLMs.

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We introduce a novel recipe for building an ultra-fast diffusion language model named d3LLM (pseuDo-Distilled Diffusion LLM) πŸš€, a new metric AUP (Accuracy Under Parallelism) that captures both accuracy and parallelismπŸ“Š, along with a Leaderboard πŸ† for various diffusion LLMs.

@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}
}