How Sampling Shapes LLM Alignment: From One-Shot Optima to Iterative Dynamics

Speaker: Yurong Chen is currently a postdoc at SIERRA-team, INRIA Paris, working with Michael I. Jordan, and was recently awarded a Marie Skłodowska-Curie Actions (MSCA) Postdoctoral Fellowship to be jointly hosted by Francis Bach and Michael I. Jordan. She earned her PhD in Computer Science at Peking University, where she was advised by Xiaotie Deng. Her research focuses on the intersection of learning, economics, and game theory, especially on how strategic agents exploit information advantage during interactions with learning agents. She is a recipient of the Best Student Paper Award at WINE 2022. Title: How Sampling Shapes LLM Alignment: From One-Shot Optima to Iterative Dynamics