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Author

Chang Liu

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Jul 2026

RUBRIC: Realism-Utility Balanced Ranking for Imbalanced Classification

This work introduces RUBRIC, a generator-agnostic filtering framework that formulates synthetic sample selection as a quality-over-quantity optimization problem and shows that RUBRIC improves F1-macro and recall while maintaining comparable ROC-AUC across several generators.

Yan-Xuan Yu, Dong Liu, Shu Wang et al. · 1 citation

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