Yuling

YerbaPage

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2047
We propose MGDebugger, a hierarchical bottom-up LLM code debugger ๐Ÿ”ฅ that can fix bugs from low-level syntax errors to high-level algorithmic flaws.

It achieves an โญ๏ธ 18.9% improvement in accuracy over seed generations in HumanEval and a โญ๏ธ 97.6% repair success rate in HumanEvalFix.

Paper available at https://arxiv.org/abs/2410.01215.
Code and demo available at https://github.com/YerbaPage/MGDebugger.

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