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Dang Nguyen

I’m a Computer Science PhD student in the Chicago Human+AI Lab at the University of Chicago advised by Chenhao Tan.

I’m interested in AI evaluation, including evaluation of the evaluators (LLMs-as-judges). What biases and tendencies do models have, and how might their widespread adoption affect human systems, such as in communication and science? When unintended biases get amplified into harmful behaviors via large-scale model-to-model and model-to-human interactions, how can we intervene effectively?

A salient version of this problem I have been thinking about is how the AI-mediated surge in research output will negatively affect the quality of conference reviewing. I helped develop OpenAIReview as a potential solution to this issue.

Outside of research, I’m quite active and you can find me training Brazilian Jiu Jitsu, boxing, or lifting weights. If you’d like to chat, feel free to reach out!

     

news

Oct 04, 2026 Benchmarking Agentic Review Systems accepted for an Oral presentation at the NeurIPS 2026 AI-Native Academia workshop.
Apr 26, 2026 Presented Moral Mazes in the Era of LLMs at the ICLR workshop Post-AGI Science and Society.
Oct 02, 2025 Presented HR Simulator™ at the Communication & Intelligence seminar.
Sep 26, 2025 We made an AI-driven communication game! HR Simulator™.

selected publications

  1. Benchmarking Agentic Review Systems
    Dang Nguyen, Wanqing Hao, Yanai Elazar, and Chenhao Tan
    In AI-Native Academia Workshop at NeurIPS, 2026
    🏆 Oral presentation
  2. Moral Mazes in the Era of LLMs
    Dang Nguyen, Harvey Yiyun Fu, Peter West, Ari Holtzman , and 1 more author
    In Post-AGI Workshop at ICLR, 2026
  3. On the Effectiveness and Generalization of Race Representations for Debiasing High-Stakes Decisions
    Dang Nguyen, and Chenhao Tan
    In Conference on Language Modeling (COLM), 2025
  4. Pragmatic Radiology Report Generation
    Dang Nguyen, Chacha Chen, He He, and Chenhao Tan
    In Machine Learning for Health (ML4H), 2023