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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Hengzhe Zhang

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Sep 2026

Differentiable Genetic Programming for High-dimensional Symbolic Regression.

Symbolic Regression (SR) aims to uncover hidden relationships within data by generating mathematical expressions, offering a pathway toward interpretable machine learning. Genetic Programming (GP) has traditionally dominated SR due to its flexibility in evolving expression trees. However, as the dimensionality of SR pr...

Xiao-Tian Song, Peng Zeng, Andrew Lensen et al. · 0 citations
Jul 2026

Benchmarking Zero-Shot LLM-Generated Parent Selection in Genetic Programming for Symbolic Regression

Analysis shows that many generated operators use semantics to guide selection, suggesting that LLMs can produce non-trivial search heuristics from the task description alone, and the relationship between public LLM leaderboard rankings and GP performance is examined.

Hengzhe Zhang, Qi Chen, Bing Xue et al. · 1 citation

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