Skip What You Can Predict: Predictive Repositioning for Policy Optimization for Efficient LLM Training.

arXiv:2605.06755v2 Announce Type: replace-cross Abstract: Reinforcement learning with verifiable rewards (RLVR) can improve the reasoning ability of large language models, but repeatedly updating a policy on the same rollout batch is expensive: every additiona