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Training Optimal Large Diffusion Language Models

Machine Learning 2025-11-06 v2 Artificial Intelligence Computation and Language

Abstract

We introduce Quokka, the first systematic scaling law for diffusion language models (DLMs), encompassing both compute-constrained and data-constrained regimes, and studying the key modeling and optimization designs. Quokka is a good friend of Chinchilla and provides wider scopes. We hope the results would bring short-term practical guidance in DLMs training and long-term inspirations for the whole AI community.

Keywords

Cite

@article{arxiv.2510.03280,
  title  = {Training Optimal Large Diffusion Language Models},
  author = {Jinjie Ni and Qian Liu and Chao Du and Longxu Dou and Hang Yan and Zili Wang and Tianyu Pang and Michael Qizhe Shieh},
  journal= {arXiv preprint arXiv:2510.03280},
  year   = {2025}
}
R2 v1 2026-07-01T06:15:50.657Z