نسخة أولية وصول مفتوح
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 …