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Towards the Generalizability of Leveraging ChatGPT in APR via Self-enhancing: An Empirical Study
Automated Program Repair (APR) increasingly relies on Large Language Models (LLMs). ChatGPT-enhanced APR uses techniques such as self-correction and autonomous agents to improve repair without modifying model parameters. Although these approaches report strong results on Defects4J and SWE-bench, the
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