TabFM-Auto: Self-Evolving Pipelines for Tabular Foundation Models
TabFM-Auto uses an agent to evolve data pipelines and leads TabArena and MLE-Bench tabular results.
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Stories tagged #feature-engineering
LLM Classification Is Feature Engineering
Argues LLM classifiers should feed a downstream logistic regression, yielding calibration, threshold control, and principled use of structured covariates.
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Quantum Feature Engineering for Credit Default Prediction: When and Why IQP Circuits Help Linear Classifiers
Quantum IQP circuit features lift logistic-regression credit-default F1 from 0.462 to 0.517, beating Kernel PCA at an equal feature budget.