Zhun Deng

Statistical Inference under Performativity

Performative Risk Control: Calibrating Models for Reliable Deployment under Performativity

QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions

Conformal Tail Risk Control for Large Language Model Alignment

Synergistic Weak-Strong Collaboration by Aligning Preferences

Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language Models

Analyzing and Mitigating Object Hallucination in Large Vision-Language Models

Making Predictors More Reliable with Selective Recalibration

Learning and Forgetting Unsafe Examples in Large Language Models