Research
* denotes equal contribution.
Whose Knowledge Counts? Co-Designing Community-Centered AI Auditing Tools with Educators in Hawai`i
Zhao, D., Cha, H., Ryan, M.J., Baker-Ramos, R., Helekahi-Kaiwi, E-B., Diego, R., Hester, J., Yang, D. (2026)​
To Appear in ACM CHI 2026.
Broadening Applications: Grounding LLM Development in Potential User Needs
Zhou K., Gligoric K., Cheng, M., Lam M., Raman V., Boluwatife A., Woo C., Brockman M., Cha H., Jurafsky D. (2025)​
arXiV Preprint.
Implementability of Information Elicitation Mechanisms with Pre-Trained Language Models
Robertson, Z., Cha, H., Sheha, A., Koyejo, S. (2024)​
In proceedings of and presented at the 41st International Conference on Machine Learning (ICML,TF2M Workshop)
MARPLE: A Benchmark for Long-Horizon Inference
Jin, E., Huang, Z., Fränken, J. P., Liu, W., Cha, H., Brockbank, E., Wu, S., Zhang, R., Wu J., Gerstenberg, T. (2024)​
In Proceedings of the 38th Annual Conference on Neural Information Processing Systems (NeurIPS).
ShapeCraft: Body-Aware and Semantics-Aware 3D Object Design
Guo, M., Tang, M., Cha, H., Zhang, R., Liu, K., Wu J. (2024)​
In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
Whodunnit? Inferring what happened from multimodal evidence
Wu, S., Brockbank, E., Cha, H., Fränken, J. P., Jin, E., Huang, Z., Liu, W., Zhang, R., Wu, J., & Gerstenberg, T. (2024)​
In proceedings and presented at the 46th Annual Conference of the Cognitive Science Society (CogSci).
Training the next generation of community-engaged physicians: a mixed-methods evaluation of a novel course for medical service learning in the COVID-19 era
Scala, J., Cha, H., Shamardani, K., Rashes, E., Acosta-Alvarez, L., Mediratta, R. (2024)​
In BMC Medical Education.