Contributions to Research

Empathia's ML team drives product development through cutting-edge research

A Turing Test: Are AI Chatbots Behaviorally Similar to Humans?

Mei, Q., Xie, Y., Yuan, W., & Jackson, M. O. (2023).

Can LLMs Effectively Leverage Graph Structural Information: When and Why

Huang, J., Zhang, X., Mei, Q., & Ma, J. (2023).

A Prompt Log Analysis of Text-to-Image Generation Systems

Xie, Y., Pan, Z., Ma, J., Jie, L., & Mei, Q. (2023, April).

Improving rare disease classification using imperfect knowledge graph

Li, X., Wang, Y., Wang, D., Yuan, W., Peng, D., & Mei, Q. (2019).

Supporting information retrieval from electronic health records: A report of University of Michigan’s nine-year experience in developing and using the Electronic Medical Record Search Engine (EMERSE)

Hanauer, D. A., Mei, Q., Law, J., Khanna, R., & Zheng, K. (2015).

A study of active learning methods for named entity recognition in clinical text

Chen, Y., Lasko, T. A., Mei, Q., Denny, J. C., & Xu, H. (2015).