Chloe Huangyuan Su

About

Chloe Su is a first-year Ph.D. student in computer science advised by Stephanie Gil and Sham Kakade. Previously, she obtained her MS in Machine Learning from Carnegie Mellon University and her B.S. in Mathematics from Nanyang Technological University.

Research Focus

Su’s current research focus lies in reasoning and planning with foundation models, with applications in multi-robot or human-AI teams. This entails addressing challenges such as understanding and reasoning limitations in LLMs, which often lead to information loss, hallucinations, or heavy compute burden. She is particularly interested in representation learning of multimodal LLMs and refining reasoning processes through enhanced search methodologies or multi-agent discussions. Her work addresses ensuring safety in planning processes, especially in complex or unfamiliar environments, which requires proactive prediction of safety-critical scenarios and uncertainty quantification, potentially leveraging smaller models or process-based rewards. In addition, her work focuses on integrating social-compliant behaviors into AI teammates, drawing insights from cognitive science. Su approaches these problems from both theoretical and engineering perspectives.