Adaptive Data Profiling with ML-Based Quality Checks for ETL Pipeline Quality and Cost Optimization
Koorosh Komeili Zadeh, Joost Visser, J. V. Rijn
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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.
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