Author

Zhong Zhang

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#artificial intelligence Preprint Sep 2026

Inducing Process Supervision from Outcome-Only Reinforcement Learning

TIPS (Thinking-Induced Process Supervision), an outcome-only reinforcement learning (RL) framework for training generative PRMs, is introduced and validated, demonstrating the effectiveness of TIPS across math and agent benchmarks and four backbone families.

Sheng-Da Fan, Xin Cong, Zhong Zhang et al. · 0 citations

#artificial intelligence Review Aug 2026

What is Missing from AI Post-Training AI: An Empirical Analysis

Analyzing a large corpus of publicly released post-training trajectories, it is found that across different tasks, the agent's training strategy is locked in at the very beginning, and the entire remaining budget is spent on local adjustments within the selected strategy.

J. Lim, Xin Huang, Hao Peng et al. · 2 citations · ⚡1