Longju Bai's Homepage

Research Assistant at the University of Michigan, Ann Arbor

prof_pic.jpg

Dept. of Computer Science and Engineering,

University of Michigan, Ann Arbor

longju@umich.edu

Hi! I’m a research assistant at the University of Michigan, Ann Arbor, where I’m advised by Prof. Rada Mihalcea. I’m also very fortunate to be working with Prof. Oana Ignat (Santa Clara University) and Prof. Huan Sun (Ohio State University). I couldn’t appreciate their invaluable insights and guidance more!​

Previously, I received my master’s degree in Electrical and Computer Engineering from the University of Michigan, Ann Arbor, with a specialization in Signal and Image Processing and the Machine Learning track.

My research interests lies broadly in Natural Language Processing and Multimodal AI, with an aim of creating Trustworthy and Responsible intelligence systems. Currently, my research projects are centered around the following aspects:

  1. AI Transparency: Improving AI interpretability and controllability through mechanistic analysis and representation engineering; improving AI alignment, robustness, and reasoning ability.

  2. AI for Social Good: Improving AI fairness, inclusiveness, and cross-cultural capabilities; enhancing AI for social good applications; reducing bias and harmful outputs.

  3. AI Agent: Designing AI agents for task-solving and human-simulation; enhancing interactive capabilities among models, humans, and external environments.

Other than the directions mentioned, I’m always passionate about and open to exploring other topics that contribute to building more reliable AI systems. Please feel free to reach out if you have any questions or would like to discuss research and collaboration.

news

Jan 15, 2016 A simple inline announcement with Markdown emoji! :sparkles: :smile:
Nov 07, 2015 A long announcement with details
Oct 22, 2015 A simple inline announcement.

latest posts

selected publications

  1. AAAI 2025
    Why AI Is WEIRD and Shouldn’t Be This Way: Towards AI For Everyone, With Everyone, By Everyone
    Rada Mihalcea, Oana Ignat, Longju Bai, and 7 more authors
    In AAAI Conference on Artificial Intelligence (AAAI-25), 2024
  2. LREC-COLING 2024
    Annotations on a Budget: Leveraging Geo-Data Similarity to Balance Model Performance and Annotation Cost
    Oana Ignat, Longju Bai, Joan C Nwatu, and 1 more author
    In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), 2024
  3. NAACL 2025
    The Power of Many: Multi-Agent Multimodal Models for Cultural Image Captioning
    Longju Bai, Angana Borah, Oana Ignat, and 1 more author
    In NAACL 2025 (Under Review), 2024