Yi-Ge Zhang

Difficult Examples Hurt Unsupervised Contrastive Learning: A Theoretical Perspective

Sensitivity as a Shield: Inducing Sensitivity to Prevent Unauthorized Model Merging

LUCID: Universal Auditing of Distilled Large Language Models

A Unified Theoretical Framework for Understanding Difficult-to-learn Examples in Contrastive Learning