Mingqian Zheng 郑鸣谦

Hi there!

I am a Ph.D. student in LTI at Carnegie Mellon University, co-advised by Carolyn Rosé and Maarten Sap. My research explores the dynamics of communication between humans and Large Language Models (LLMs), as well as interactions among multiple LLMs. I study how human-LLM exchanges differ from human-human interactions, with the goal of optimizing these conversations for better human-AI collaboration. My work examines LLM safety through refusal strategies, multi-turn interaction risks, and the alignment between user expectations and model behavior. I also investigate multi-agent social simulations to uncover LLMs’ behavioral patterns and social reasoning in complex social contexts.

Previously, I completed my Master’s in Survey and Data Science at the University of Michigan, where I was advised by Yajuan Si. I conducted research on NLP with David Jurgens in the Blablablab and also worked with David Flood as a member of the HPACC team. Prior to that, I got my Bachelor’s at NYU Shanghai with double majors in Mathematics and Data Science (Computer Science Concentration), where I worked with Hongyi Wen on Recommendation Systems.