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Xinran Gu

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#natural language process... Preprint Oct 2026

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

This work introduces TrajLong, a novel framework that compiles trajectories into long-context training tasks with dense supervision, targeting three representative atomic capabilities: evidence grounding, cross-evidence aggregation, and temporal state maintenance, and investigates the relationship between long-context...

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

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