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Mutation Without Variation: Convergence Dynamics in LLM-Driven Program Evolution

cs.AI updates on arXiv.org·
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A study on LLM-driven program evolution reveals that repeated mutations lead to convergence toward familiar structural forms, limiting innovation. This structural homogeneity poses challenges for sustaining open-ended exploration in program development using LLMs.

Key Topics

LLMprogram evolutiondomain-specific languageGP subtree mutation

Originally reported by cs.AI updates on arXiv.org. Read the full article ↗

Mutation Without Variation: Convergence Dynamics in LLM-Driven Program Evolution | AI Crypto Daily Wire