Author

Yan-Xi Chen

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#machine learning Preprint Sep 2026

Fine-Tuning on Self-Generated and Reward-Weighted Data: Learning Dynamics, Convergence Rates, and Benefits of Off-Policyness

A unified theory for RE(S) is developed that covers the full spectrum of S, and can be interpreted as a stage-wise optimization process, where each stage takes $S$ gradient steps for minimizing the Kullback-Leibler distance to a fixed reward-weighted rollout distribution.

Zhi-Wei Wang, Yan-Xi Chen, Ya-Liang Li et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Speculative Evaluation of Stochastic LLMs

Real-generation experiments that account for the pilot synchronization barrier show that HBN-async mitigates its overhead, helping translate statistical efficiency into practical evaluation benefits, and outperforming hindsight-tuned empirical and independent Bayesian baselines.

Qian-Li Shen, Xiang Li, Ruo-Meng Ding et al. · 0 citations