Two-Stage Reinforcement Learning for Sound and Adversarial Test Generation in Code LLMs
This work proposes Test Cases Scaling (TCS), a two-stage RL framework for effective test generation that improves both pass@1 and inference-time answer selection according to generated tests across TACO and LiveCodeBench.
Jiacheng Xu, Wen-Tao Zhang, Zhiyi Lyu et al.
· 2 citations