Author

Yicong Li

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#artificial intelligence Preprint Oct 2026

Rethinking Probability-Based Reinforcement Learning From Posterior Concentration

Verifier-free reinforcement learning with probability-based rewards offers a promising way to train LLMs on general reasoning tasks where external verifiers are unavailable. Yet the reliability of these rewards, especially in long-horizon reasoning, remains underexplored. This work identifies a length-dependent failure...

Shiu-hong Kao, Yu-Bo Zhao, Zhen Tian et al. · 0 citations

#natural language process... Preprint Sep 2026

Rewarding Reasoning, Not Answers: Fixing and Bounding Test-Time Reinforcement Learning on Medical QA

Test-time reinforcement learning adapts a model on its own unlabeled test set using majority-vote pseudo-labels and has shown strong results in mathematics. We show that this recipe collapses on medical multiple-choice QA: accuracy stagnates while output diversity rapidly declines. Through a controlled experiment that...

Kai-Long Fan, An-Qi Pu, Yi-Chen Wu et al. · 0 citations