About
I am a Ph.D. candidate at the University of Maryland, College Park in the Department of Computer Science advised by Prof. Hal Daumé III. My current research focuses on fairness in NLP, human-AI interaction, and their intersection. More broadly, I am interested in fairness and trust/reliance in AI systems. Some questions that I ask in my research are:
- When people interact with a model exhibiting certain biases (or even a "debiased" model), what are the tangible effects/harms on the person?
- When people work together with a model to make decisions, how can we encourage outcomes that are more fair to the people affected by these decisions?
Previously, I did a combined BS/MS in Computer Science (with a secondary major in Japanese Studies and a concentration in AI) at Case Western Reserve University, advised by Prof. Soumya Ray.
Selected Publications and Preprints
When Stereotypes GTG: The Impact of Predictive Text Suggestions on Gender Bias in Human-AI Co-Writing
Connor Baumler and Hal Daumé III
CHI 2026
[Paper]
[Repo]
[ACM]
[arXiv]
Can You Make It Sound Like You? Post-Editing LLM-Generated Text for Personal Style
Connor Baumler, Calvin Bao, Huy Nghiem, Xinchen Yang, Marine Carpuat, and Hal Daumé III
ACL 2026
[Paper]
[Repo]
[ACL Anthology]
[arXiv]
The Impact of Explanations on Fairness in Human-AI Decision Making: Protected vs Proxy Features
Connor Baumler*, Navita Goyal*, Tin Nguyen, and Hal Daumé III
IUI 2024
A preliminary version of this paper appeared at the CHI 2023 Workshop on Trust and Reliance in AI-Assisted Tasks (TRAIT).
[Paper]
[Repo]
[ACM]
[arXiv]
Which Examples Should be Multiply Annotated? Active Learning When Annotators May Disagree
Connor Baumler*, Anna Sotnikova*, and Hal Daumé III
Finding of ACL 2023
[Paper]
[Repo]
[ACL Anthology]
Recognition of They/Them as Singular Personal Pronouns in Coreference Resolution
Connor Baumler and Rachel Rudinger
NAACL 2022
[Paper]
[Repo]
[ACL Anthology]