AINeutralarXiv – CS AI · 6h ago6/10
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Interpreting Neural Combinatorial Optimization via Evolving Programmatic Bottlenecks
Researchers introduce Evolving Programmatic Bottlenecks (EPB), a novel framework for interpreting Neural Combinatorial Optimization models by distilling them into human-readable program portfolios. The method uses large language models to autonomously evolve interpretable programs while maintaining performance comparable to the original black-box models, addressing a critical gap in AI explainability for complex sequential decision-making systems.