Distribution-Aware Reward Estimation for Test-Time Reinforcement Learning

Bodong Du, Xuanqi Huang, Xiaomeng Li

Test-time reinforcement learning (TTRL) enables large language models (LLMs) to self-improve on unlabeled inputs, but its effectiveness critically depends on how reward signals are…