Yuk-Kit Chan

Hello, I am a master's student in Computer Science and Engineering at the University of California, San Diego. My research focuses on large language models, agent safety and factuality evaluation.

I earned my Bachelor of Engineering in Computer Science and Engineering from The Chinese University of Hong Kong, where I completed the ELITE stream, and graduated with First Class Honours and a minor in Mathematics. I was very fortunate to have been advised by Professor Wenxuan Wang.

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We conducted a decade-scale survey of 672 code benchmarks, found a growing awareness gap in rigorous benchmark practice, and respond by proposing HOW2BENCH

We introduce HalluHunter, a fully automated knowledge-graph framework that generates single- and multi-hop factuality questions and adaptively targets LLM weaknesses

We study tool-use under imperfect user instructions by analyzing real queries and introducing Noisy ToolBench, showing LLMs often hallucinate missed arguments; we then propose Ask-when-Needed (AwN) and an automated ToolEvaluator that improve tool-use accuracy over existing methods.

Last updated Sep 2026.
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