Easy Samples Are All You Need: Self-Evolving LLMs via Data-Efficient Reinforcement Learning

Zhiyin Yu, Bo Zhang, Qibin Hou +3

Previous LLMs-based RL studies typically follow either supervised learning with high annotation costs, or unsupervised paradigms using voting or entropy-based rewards. However, the…