Mingqian Zheng 郑鸣谦

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Hi there!

I am a Ph.D. student in LTI at Carnegie Mellon University, co-advised by Carolyn Rosé and Maarten Sap. I am broadly interested in Natural Language Processing and Computational Social Science.

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.

news

Sep 19, 2024 My first paper got accepted to the Findings of EMNLP 2024! See you in Miami!🌴
Aug 26, 2024 Starting my new life chapter at CMU LTI as a PhD student!

selected publications

  1. EMNLP Findings
    When "A Helpful Assistant" Is Not Really Helpful: Personas in System Prompts Do Not Improve Performances of Large Language Models
    Mingqian Zheng, Jiaxin Pei, Lajanugen Logeswaran, and 2 more authors
    arXiv preprint arXiv:2311.10054, 2024