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Huiqi Zou

Ph.D. student in Computer Engineering
Northeastern University
zou(dot)huiq(at)northeastern(dot)edu


About Me

Hi, I am Huiqi Zou, a Ph.D. student working under the guidance of Prof. Weiyan Shi at Northeastern University. I hold a Master’s degree in Computer Science from Johns Hopkins University, where I completed a thesis under the supervision of Prof. Ziang Xiao. Previously, I earned a Bachelor’s degree in Computer Science (Artificial Intelligence Stream) from City University of Hong Kong, where I completed my final year project under the supervision of Prof. Linqi Song.

Research Interests

My research interest lies in natural language processing (NLP) and human-computer interaction (HCI), especially in the field of interactive evaluation. I am currently fascinated by the following research questions:

My ultimate goal is to build interactive systems for more engaging human-computer communication and transition from static evaluation methods to more flexible, task-driven assessments that capture the diverse scenarios in which models are deployed.

News

Selected Works

  1. Teaser figure: Coding with "Enemy": Can Human Developers Detect AI Agent Sabotage? NeurIPS
    Ye, J.*, Zou, H.*, Yu, S., and Shi, W.
    Advances in Neural Information Processing Systems, 2026. (Best Paper @ ICML DL4C)
  2. Teaser figure: Contextualized Evaluation of Vision Language Models through Dynamic, Multi-turn Interactions NeurIPS
    Li, Y.*, Zou, H.*, Wang, B., and Xiao, Z.
    Advances in Neural Information Processing Systems, 2026.
  3. Teaser figure: Generative Personality Simulation via Theory-Informed Structured Interview EACL
    Wang, P., Zou, H., Jiang, H., Chen, H., Sun, T., Yi, X., Xiao, Z., and Oswald, F. L.
    European Chapter of the Association for Computational Linguistics, 2026.
  4. Teaser figure: Can LLM "Self-report"?: Evaluating the Validity of Self-report Scales in Measuring Personality Design in LLM-based Chatbots COLM
    Zou, H., Wang, P., Yan, Z., Sun, T., and Xiao, Z.
    Conference on Language Modeling, 2025.
  5. Teaser figure: Not Yet: Large Language Models Cannot Replace Human Respondents for Psychometric Research OSF Preprints
    Wang, P., Zou, H., Yan, Z., Guo, F., Sun, T., Xiao, Z., and Zhang, B.
    OSF Preprints, 2024.

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