Author

Jian-Qi Zhang

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Preprint Aug 2026

Ground-Truth Neighborhood Regularization for Reinforcement Learning Post-Training of Time Series Foundation Models

Time series forecasting (TSF) plays an important role in a wide range of real-world applications. Recently, time series foundation models (TSFMs), pretrained on large-scale datasets, have demonstrated strong generalization capabilities and emerged as an important paradigm for TSF. Reinforcement learning (RL) post-train...

Jian-Qi Zhang, Xing-Yu Zhang, Ze-En Song et al. · 1 citation

#machine learning Preprint Aug 2026

GUPO: Gradient Uncertainty-aware Policy Optimization for Post-Training Large Language Models

Gradient Uncertainty-Aware Policy Optimization is proposed, which models each group gradient as a random variable under a Bayesian formulation and estimates its probability distribution and derives gradient uncertainty using a Dirichlet-based formulation and uses it to calibrate the contribution of each group gradient...

Peizheng Guo, Jian-Qi Zhang, Xing-Yu Zhang et al. · 0 citations