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cs.LG2026
Geometric Manifold Rectification for Imbalanced Learning
Xubin Wang, Qing Li, Weijia Jia
Imbalanced classification presents a formidable challenge in machine learning, particularly when tabular datasets are plagued by noise and overlapping class boundaries. From a geom…
cs.LG2026
Meta-Sel: Efficient Demonstration Selection for In-Context Learning via Supervised Meta-Learning
Xubin Wang, Weijia Jia
Demonstration selection is a practical bottleneck in in-context learning (ICL): under a tight prompt budget, accuracy can change substantially depending on which few-shot examples…