Author

Ziyue Wang

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#machine learning Preprint Sep 2026

RL Starts before RL: On Policy Distillation for Better Reinforcement Learning

Reinforcement learning (RL) improves reasoning, but its performance depends on the policy from which training begins. We study on-policy distillation (OPD) as a preparation stage for RL and ask whether its benefits extend beyond improvements in the distilled model's initial accuracy. Under shared RL settings, students...

Shuai Dong, Yong-Fu Zhu, Yu-Qi Xu et al. · 0 citations

Preprint Aug 2026

What Proves You Wrong: Benchmarking Language Models on Falsifiable Research Ideation

The Lit2Test benchmark centers on a six-field contract organized around a falsifying outcome, so that every proposal precommits the observation that would prove it wrong, making its quality decidable in the first place rather than merely arguable.

Zi-Yue Wang, Aomufei Yuan, Yi-Ran Yao et al. · 0 citations