LSPO: Length-aware Dynamic Sampling for Policy Optimization in LLM Reasoning

Weizhe Chen, Sven Koenig, Bistra Dilkina

Since the release of Deepseek-R1, reinforcement learning with verifiable rewards (RLVR) has become a central approach for training large language models (LLMs) on reasoning tasks.…