Weiliang Zhao

I'm a first-year PhD student at Columbia University, advised by Professor Junfeng Yang and Professor Zhou Yu. My research interests mainly include safety and alignment of large language models and AI agents.

I completed my Master’s in Computer Science in the Department of Computer Science at Columbia University, advised by Prof. Junfeng Yang and Prof. Chengzhi Mao.

I hold a BSc in Mathematics from the University of Edinburgh, where I was advised by Prof. Buark Buke.

📮Email / 🔗LinkedIn / 🎓Google Scholar / 📃CV

Publications

Diversity Helps Jailbreak Large Language Models
Weiliang Zhao, Daniel Ben-Levi, Junfeng Yang, Chengzhi Mao,
NAACL, 2025, Oral
arXiv

A Generalised jailbreaking technique by encouraging higher levels of diversification and adjacent obfuscated prompting to evaluate the vulnerabilities of LLMs.

Learning to Rewrite: Generalized LLM-Generated Text Detection
Wei Hao, Ran Li , Weiliang Zhao, Junfeng Yang, Chengzhi Mao,
ACL, 2025
arXiv

We propose a method designed to enhance the detection of LLM-generated text by learning to rewrite more on LLM-generated inputs and less on human generated inputs.

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