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Abstract: Machine learning has emerged as a promising method for detecting code vulnerabilities. In existing research, models trained on available samples are applied to predict potential ...
Abstract: The advent of large language models (LLMs) has opened up new opportunities for automated program repair (APR). In particular, some recent studies have explored how to leverage large language ...
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