Author

N. V. Stein

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Preprint Aug 2026

Evolving Executable Pipeline Programs for AutoML with Language Models

This work presents LACE, an AutoML framework that instead searches over complete executable pipeline programs: an evolutionary loop maintains a population of scikit-learn-compatible Python classes, and a large language model acts as the variation operator.

Sofoklis Kitharidis, C. Veenman, J. V. Rijn et al. · 0 citations

Preprint Jul 2026

LLM-Driven Evolutionary Generation of Multi-Objective Bayesian Optimization Algorithms

LLM-driven evolutionary search can discover algorithm designs that achieve Pareto-efficient trade-offs difficult to reach through manual design, with SMAC hyperparameter optimization integrated into the evolutionary loop.

G. Laskaris, R. Brasher, Niki van Stein et al. · 0 citations