Author

Kunbin Xu

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Preprint Aug 2026

Hi-TTRL: Regulating Consensus with Hints for Test-Time Reinforcement Learning

Test-time reinforcement learning (TTRL) improves the reasoning capabilities of large language models without labeled data by updating the policy with pseudo-labels constructed through majority voting. While effective, the reward signal assigned from majority voting is highly sensitive to consensus strength, defined as...

Kunbin Xu, Xingzuo Li, Xue-Feng Bai et al. · 1 citation