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Discover the outcomes of experiments comparing standard Genetic Improvement mutations with Large Language Model (LLM) edits in both random sampling and local search scenarios. Gain insights into the performance differences and implications for software evolution. TLDR: This section presents the results of experiments comparing standard Genetic Improvement mutations with Large Language Model (LLM) edits in both random sampling and local search contexts. Explore the findings regarding patch validation, compilation rates, unit test passing, diversity, and runtime improvements, shedding light on the effectiveness of LLMs in software evolution.
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