DHRCL:Training Code LLMs with Dense Hierarchical Rewards and Curriculum Learning

Shuhang Wang, Ziming Li, Hui Cheng

The paper introduces DHRCL, a reinforcement‑learning framework for code‑focused large language models that uses a hierarchy of dense rewards (syntax, execution, unit‑test pass, and…