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Two-Stage Reinforcement Learning for Sound and Adversarial Test Generation in Code LLMs

Xu, Jiacheng et al.
arXiv (All) · Papers
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computation-and-languagemachine-learning
Reinforcement learning (RL) has substantially advanced code generation with large language models (LLMs) through executable feedback. The feedback for coding problems mainly comes from specific test cases, where high-quality test cases are often scarce since they should be both sound and discriminat
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