Hongxin Wei

8

Papers

18

Total Citations

Papers (8)

How Contaminated Is Your Benchmark? Measuring Dataset Leakage in Large Language Models with Kernel Divergence

Fine-tuning can Help Detect Pretraining Data from Large Language Models

Exploring Learning Complexity for Efficient Downstream Dataset Pruning

Refined Coreset Selection: Towards Minimal Coreset Size under Model Performance Constraints

Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss

Conformal Prediction for Deep Classifier via Label Ranking

CroSel: Cross Selection of Confident Pseudo Labels for Partial-Label Learning

Open-Vocabulary Calibration for Fine-tuned CLIP