Longju Bai's Homepage
Research Assistant at the University of Michigan, Ann Arbor

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:
-
AI Transparency: Improving AI interpretability and controllability through mechanistic analysis and representation engineering; improving AI alignment, robustness, and reasoning ability.
-
AI for Social Good: Improving AI fairness, inclusiveness, and cross-cultural capabilities; enhancing AI for social good applications; reducing bias and harmful outputs.
-
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! ![]() ![]() |
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Nov 07, 2015 | A long announcement with details |
Oct 22, 2015 | A simple inline announcement. |
latest posts
selected publications
- AAAI 2025Why AI Is WEIRD and Shouldn’t Be This Way: Towards AI For Everyone, With Everyone, By EveryoneIn AAAI Conference on Artificial Intelligence (AAAI-25), 2024
- LREC-COLING 2024Annotations on a Budget: Leveraging Geo-Data Similarity to Balance Model Performance and Annotation CostIn Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), 2024
- NAACL 2025The Power of Many: Multi-Agent Multimodal Models for Cultural Image CaptioningIn NAACL 2025 (Under Review), 2024