Author

Chengyin Xu

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Preprint Aug 2026

Scaling Domain Data Repetition in LLM Pretraining

This work finds that repetition counts tuned on smaller proxy models with the same \(\mathrm{TPP}\) can provide a practical estimate for larger models, and suggests that repetition counts tuned on smaller proxy models with the same \(\mathrm{TPP}\) can provide a practical estimate for larger models.

Jingwei Li, Xinran Gu, Rui Dai et al. · 1 citation

Preprint Aug 2026

psRL: Efficient Training for Agentic AI via Training-Time Prefix Sharing

This paper proposes psRL (prefix sharing for RL), a new training system for agentic AI designed to exploit prefix redundancy among training samples, and introduces two novel prefix-sharing mechanisms that enable flexible, fine-grained workload distribution across GPU workers.

Mian-Jie Yu, Zizhao Mo, Huanyu Qu et al. · 0 citations