Author

Xinran Gu

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#natural language process... Preprint Oct 2026

TrajLong: Co-Designing Agentic and Long-Context Supervision for Mid-Training

LLM agents for coding, search, and workplace tasks increasingly rely on long-context capabilities to effectively aggregate and reason over extended interaction histories. Recent work has incorporated agent trajectories into mid-training stage, drawing on their naturally long and interaction-rich structure. Yet how to o...

Miao Peng, Qin-Tong Zhang, Nuo Chen et al. · 0 citations

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