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Teaching Large Language Models to Self-Debug
In particular, we demonstrate that Self-Debugging can teach the large language model to perform rubber duck debugging; i. e., without any human feedback on the code correctness or error messages, the model is able to identify its mistakes by investigating the execution results and explaining the generated code in natural language.
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