Author

Xin-Ting Hu

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#artificial intelligence Preprint Oct 2026

CERO: Where and When to Allocate Rollouts for RL Post-Training

Adaptive rollout methods for group-relative reinforcement learning typically allocate a fixed per-update budget across prompts. We instead study how to coordinate a finite rollout budget over the entire training horizon. We formulate this problem using a concave surrogate utility of cumulative prompt exposure and intro...

Yi-Ming Zong, Yi-Ge Wang, Xin-Ting Hu et al. · 0 citations

#machine learning Preprint Sep 2026

HERO-MoE: Historical Expert Routing with Scale-Preserving Fusion

HERO-MoE, Historical Expert ROuting with Scale-Preserving Fusion, a routing framework that injects historical routing priors into MoE routers by reusing detached, dense routing distributions collected from preceding MoE layers by reusing detached, dense routing distributions collected from preceding MoE layers.

Jun-Xiang Qiu, Zheng-Su Chen, Xin-Ting Hu et al. · 0 citations