Author

Fengqing Jiang

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Preprint Aug 2026

MidTool: Mid-training Data Synthesis for Agentic Tool Use

Mid-training is increasingly recognized as a critical stage for shaping the capabilities of large language models. Recent work has shown that targeted mid-training can strengthen reasoning-intensive abilities such as math and science, and can also improve agentic capabilities in software-engineering settings. In this w...

Fengqing Jiang, Yi-Te Wang, Bo-Yi Liu et al. · 0 citations

#artificial intelligence Preprint May 2026

When the Strongest Teacher Is Not the Best Teacher: Student-Centric Answer Selection

Student-Centric Answer Sampling (SCAS) is proposed, a framework that selects from verified teacher-generated answers according to their estimated student-centric learning cost and is derived by a token-wise gradient decomposition and used to guide answer selection during training.

Zhengyu Hu, Zheyuan Xiao, Linxin Song et al. · 0 citations