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arXiv · 2510.03280

Training Optimal Large Diffusion Language Models

Jinjie Ni·Qian Liu·Chao Du·Longxu Dou·Hang Yan·Zili Wang·Tianyu Pang·Michael Qizhe Shieh
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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.

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Jinjie Ni, Qian Liu, Chao Du, Longxu Dou, Hang Yan, Zili Wang, Tianyu Pang, Michael Qizhe Shieh. 2025-09-28. Training Optimal Large Diffusion Language Models. https://arxiv.org/abs/2510.03280

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