[COLM, 2025] Han, B., Wolfe, R., Caspi, A., & Howe, B. (2025). Can Large Language Models Integrate Spatial Data? Empirical Insights into Reasoning Strengths and Computational Weaknesses.
[ACL, 2025] Xu, C., Wen, B., Han, B., Wolfe, R., Wang, L. L., & Howe, B. (2025). Do Language Models Mirror Human Confidence? Exploring Psychological Insights to Address Overconfidence in LLMs.
[In Submission to ICLR, 2026] Yao, J., Hu, Y., Yi, Y., Han, B., Feng, S., Yang, G., … & Zhu, B. (2025). MMMG: a Comprehensive and Reliable Evaluation Suite for Multitask Multimodal Generation.
[ICML, 2025] Rosenblatt, L., Bin, H., Wolfe, R., & Howe, B. Fragments to Facts: Partial-Information Fragment Inference from LLMs. In Forty-second International Conference on Machine Learning.
[WWW, 2025] Bin Han, Sean T. Yang, and Christopher LuVogt. 2025. Cross-Lingual Text Classification with Large Language Models. In Companion Proceedings of the ACM on Web Conference 2025 (WWW ‘25). Association for Computing Machinery, New York, NY, USA, 1005–1008. https://doi.org/10.1145/3701716.3715567
[In Submission] Fu, Y., Bin, H., Zhou, T., Wang, M., Chen, Y., Lai, Z. G. D. C., … & Hiniker, A. (2024). Creativity in the Age of AI: Evaluating the Impact of Generative AI on Design Outputs and Designers’ Creative Thinking.
[NeurIPS Workshop, 2024] Wen, B., Xu, C., Wolfe, R., Wang, L. L., & Howe, B. (2024, October). Mitigating overconfidence in large language models: A behavioral lens on confidence estimation and calibration. In NeurIPS 2024 Workshop on Behavioral Machine Learning.
[SIGSpatial, 2024] Bin Han, Yiwei Yang, Anat Caspi, and Bill Howe. 2024. Towards Zero-Shot Annotation of the Built Environment with Vision-Language Models. In Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL ‘24). Association for Computing Machinery, New York, NY, USA, 601–604. https://doi.org/10.1145/3678717.3691296
[SIGSpatial, 2024] Han, B., & Howe, B. (2024, October). SARN: Structurally-Aware Recurrent Network for Spatio-Temporal Disaggregation. In Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems (pp. 338-349).
[FAccT, 2024] Wolfe, R., Slaughter, I., Han, B., Wen, B., Yang, Y., Rosenblatt, L., … & Howe, B. (2024). Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings. In The 2024 ACM Conference on Fairness, Accountability, and Transparency (pp. 1199-1210).
[HICSS, 2024] Han, B., & Howe, B. (2023). Adapting to Skew: Imputing Spatiotemporal Urban Data with 3D Partial Convolutions and Biased Masking, HICSS.
Xu, W., Jiang, X., Desai, J., Han, B., Yan, F., & Iannacci, F. (2023). KDSTM: Neural Semi-supervised Topic Modeling with Knowledge Distillation
Han, B., Zhu, H., Zhou S., Ahmed, S., Rahman, M. M., Xia, F., Lybarger, K. (2023) HuskyScribe at MEDIQA-Sum 2023: Summarizing Clinical Dialogues with Transformers. Conference and Labs of the Evaluation Forum.
Dobbins, N. J., Han, B., Zhou, W., Lan, K., Kim, H. N., Harrington, R., … & Yetisgen, M. (2023) LeafAI: query generator for clinical cohort discovery rivaling a human programmer. Journal of the American Medical Informatics Association.
Kaushik Ramachandran, G., Fu Y., Han, B, … Yetisgen, M. (2023) Prompt-based Extraction of Social Determinants of Health Using Few-shot Learning. In Proceedings of the 5th Clinical Natural Language Processing Workshop, pages 385–393, Toronto, Canada. Association for Computational Linguistics.
Howe, B., Brown, J.M., Han, B. et al. Integrative urban AI to expand coverage, access, and equity of urban data. Eur. Phys. J. Spec. Top. 231, 1741–1752 (2022).
Wang, C, Han, B., Patel, B. et al. (2022) In Pursuit of Interpretable, Fair and Accurate Machine Learning for Criminal Recidivism Prediction. J Quant Criminol.
Han, B., Shah, C., Saelid, D. (2021). Users’ Perception of Search-Engine Biases and Satisfaction. In: Boratto, L., Faralli, S., Marras, M., Stilo, G. (eds) Advances in Bias and Fairness in Information Retrieval. BIAS 2021. Communications in Computer and Information Science, vol 1418. Springer, Cham.
Ehrlich, E.M., Han, B., Lutz, M. et al. (2021) Socioeconomic Influence on Emergency Medical Services Utilization for Acute Stroke: Think Nationally, Act Locally. The Neurohospitalist.