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Enhancing Genetic Improvement Mutations Using Large Language Models
We find that the number of patches passing unit tests is up to 75% higher with LLM-based edits than with standard Insert edits.
Down-Sampled Epsilon-Lexicase Selection for Real-World Symbolic Regression Problems
However, the influence of subsampling on the solution quality of real-world symbolic regression problems has not yet been studied.
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