Zheyuan Xiao

Hi! I’m Zheyuan Xiao, an M.S. candidate in Computer Science at The University of Texas at Austin. My research focuses on large language models, especially evaluation, post-training, data-centric learning, and agentic systems.

I am broadly interested in how to make LLMs more reliable and effective through better evaluation targets, better training data, and better system design. My recent work has explored language model evaluation, knowledge transfer in fine-tuned models, and agent-based systems for structured information discovery and decision workflows.

Alongside research, I work as a Software Engineer at Resideo in Auckland, New Zealand, where I develop automated verification and validation systems for firmware-based products. Working on reliability, testing, and end-to-end behavior in production environments has shaped my broader interest in building systems that are not only capable, but also measurable, dependable, and useful in practice.

Before UT Austin, I received a First Class Honours B.E. in Software Engineering from The University of Auckland. More details can be found on my CV page. You can also find me on Google Scholar, LinkedIn, and GitHub.