Mar 13, 2023 · Our evaluation demonstrates that InferFix outperforms strong LLM baselines, with a top-1 accuracy of 65.6% for generating fixes in C# and 76.8% ...

Nov 30, 2023 · Our evaluation demonstrates that outperforms strong LLM baselines, with a top-1 accuracy of 65.6% for generating fixes in C# and 76.8% in Java.

Mar 13, 2023 · Our evaluation demonstrates that InferFix out- performs strong LLM baselines, with a top-1 accuracy of 65.6% for generating fixes in C# and 76.8 ...

Large language models have been adapted to the program repair task through few-shot demonstration learning and instruction prompting, treating this as an ...

Our evaluation demonstrates that InferFix outperforms strong LLM baselines, with a top-1 accuracy of 65.6% for generating fixes in C# and 76.8% in Java.

Dec 6, 2023 · To tackle this, the paper, “InferFix: End-to-End Program Repair with LLMs over Retrieval-Augmented Prompts,” introduces a program repair ...

InferredBugs is a metadata-rich dataset of bugs and fixes in Java and C# programming languages, extracted using Infer (for Java) and InferSharp (for C#).

... Our method is a self-refinement method that focuses primarily on enhancing the reliability of LLM-generated code by repairing its bugs before execution, ...

Mar 16, 2023 · Bibliographic details on InferFix: End-to-End Program Repair with LLMs.

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