Liaoyaqi Wang

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I am a PhD student in Computer Science at the University of Texas at Austin, advised by Prof. Elias Stengel-Eskin. Before that, I completed my M.S. at Johns Hopkins University, where I was fortunate to work with Prof. Anqi Liu and Prof. Benjamin Van Durme on calibrated and trustworthy reasoning in large language models.

My research centers on uncertainty quantification and reasoning in LLMs, and I’m currently interested in multi-agent systems — particularly how to calibrate agents’ confidence and enable them to communicate and collaborate more effectively.

Feel free to reach out if you’d like to chat about calibration, LLM reasoning, or multi-agent systems.

news

Aug 2026 Started my PhD in Computer Science at the University of Texas at Austin!
Jul 2026 Happy to announce that I received the NSF-supported KDD 2026 Student Travel Award!
Feb 2026 Started as a full-time Graduate Research Assistant at the Johns Hopkins University Data Science and AI Institute.
Dec 2025 Graduated from Johns Hopkins University with an M.S. in Computer Science.

selected publications