I am a second year Ph.D. student at the University of Maryland, College Park in the Department of Computer Science advised by Prof. Hal Daumé III. I am broadly interested in fairness, explainability/interpretability, and trust/trustworthiness, especially as they relate to NLP. In my work, I consider questions like “How do we design and evaluate systems that align with human needs while minimizing the harms they can cause?” and “How can we design systems and interventions that help users understand the systems’ capabilities and limitations to create desirable outcomes?”

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.

Conference Papers

Which Examples Should be Multiply Annotated? Active Learning When Annotators May Disagree
Connor Baumler*, Anna Sotnikova*, Hal Daumé III
Finding of ACL 2023
[Paper] [Repo]

Recognition of They/Them as Singular Personal Pronouns in Coreference Resolution
Connor Baumler, Rachel Rudinger
NAACL 2022
[Paper] [Repo] [ACL Anthology]

Hybrid Semantics for Goal-Directed Natural Language Generation
Connor Baumler, Soumya Ray
ACL 2022
[Paper] [ACL Anthology]

Workshop Papers

The Impact of Explanations on Fairness in Human-AI Decision Making: Protected vs Proxy Features
Navita Goyal*, Connor Baumler*, Tin Nguyen, Hal Daumé III
CHI 2023 Workshop on Trust and Reliance in AI-Assisted Tasks (TRAIT)