RePaCA, a Qwen2.5-Coder 3B model fine-tuned with GRPO, classifies Java patches as correct or overfitting with 83.1% accuracy and 84.8% F1 on a Defects4J-derived benchmark.
Leveraging Large Language Model for Automatic Patch Correctness Assessment,
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RePaCA: Leveraging Reasoning Large Language Models for Static Automated Patch Correctness Assessment
RePaCA, a Qwen2.5-Coder 3B model fine-tuned with GRPO, classifies Java patches as correct or overfitting with 83.1% accuracy and 84.8% F1 on a Defects4J-derived benchmark.