Author

Dian-Yi Wang

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Preprint Sep 2026

Think Before You Score: Thinking Reward Model for Visual Generation

Visual reward models are essential for evaluating and improving visual generation models, yet existing approaches typically map task conditions and candidate outputs directly to scalar rewards, leaving implicit what should be evaluated for each individual case. We introduce Think Before You Score, a paradigm that expli...

Xue-Yuan Bai, Zhen-Chen Tang, Yang Shi et al. · 0 citations

#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