News

Apr 27, 2026 Our paper titled “Statistical Impossibility and Possibility of Aligning LLMs with Human Preferences: From Condorcet Paradox to Nash Equilibrium” has been accepted to AoS. Thanks for all the collaborators!
Aug 18, 2025 Our paper titled “On the Algorithmic Bias of Aligning Large Language Models with RLHF: Preference Collapse and Matching Regularization” has been accepted to JASA. Thanks for all the collaborators!
Jun 15, 2025 I will attend the ICSA 2025 Applied Statistics Symposium at UConn, where I will deliver a short course titled “Statistical Inference in Large Language Models” and present our recent research.
May 01, 2025 Our paper titled “Restoring Calibration for Aligned Large Language Models: A Calibration-Aware Fine-Tuning Approach” has been accepted to ICML 2025. Thanks for all the collaborators!
Mar 17, 2025 Our paper titled “Statistical Impossibility and Possibility of Aligning LLMs with Human Preferences: From Condorcet Paradox to Nash Equilibrium” is available on arXiv now.
Jan 22, 2025 Three papers on fine-tuning and preference optimization have been accepted to ICLR 2025. Congratulations to all the collaborators!
Oct 07, 2024 Attending COLM 2024 at UPenn.
Sep 20, 2024 I will attend SIAM Conference on Mathematics of Data Science (MDS24) in Atlanta, Georgia.
Aug 03, 2024 I will attend JSM 2024 in Portland, Oregon. Welcome to my talk about algorithmic bias of LLMs in the session titled Harnessing Large Language Models: Opportunities and Challenges for Statistics.
Jun 30, 2024 I will attend COLT 2024 in Edmonton, Canada. I will chair a session titled “Adversarial/Robust Learning” and also present our recent work on adversarially robust generalization.
May 08, 2024 Two papers about adversarial training theory are accepted to COLT 2024 and ICML 2024, respectively!