Ximing Li

Expert Heads: Robust Evidence Identification for Large Language Models

Learning from Label Proportions via Proportional Value Classification

Balancing Positive and Negative Classification Error Rates in Positive-Unlabeled Learning

Confidence Difference Reflects Various Supervised Signals in Confidence-Difference Classification

Graph Few-Shot Learning via Adaptive Spectrum Experts and Cross-Set Distribution Calibration

A Closer Look to Positive-Unlabeled Learning from Fine-grained Perspectives: An Empirical Study

Confidence Difference Reflects Various Supervised Signals in Confidence-Difference Classification

Generalizing Dynamics Modeling Easier from Representation Perspective