Connor Baumler

According to our database, Connor Baumler authored at least 11 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

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, Hal Daumé III

CoRR, April, 2026

When Stereotypes GTG: The Impact of Predictive Text Suggestions on Gender Bias in Human-AI Co-Writing.

Connor Baumler, Hal Daumé III

Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025

Who's the Author? How Explanations Impact User Reliance in AI-Assisted Authorship Attribution.

Calvin Bao, Connor Baumler, Hal Daumé III, Marine Carpuat

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

On the Mutual Influence of Gender and Occupation in LLM Representations.

Haozhe An, Connor Baumler, Abhilasha Sancheti, Rachel Rudinger

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Anti-stereotypical Predictive Text Suggestions Do Not Reliably Yield Anti-stereotypical Writing.

Connor Baumler, Hal Daumé III

CoRR, 2024

The Impact of Explanations on Fairness in Human-AI Decision-Making: Protected vs Proxy Features.

Navita Goyal, Connor Baumler, Tin Nguyen, Hal Daumé III

Proceedings of the 29th International Conference on Intelligent User Interfaces, 2024

2023

What Else Do I Need to Know? The Effect of Background Information on Users' Reliance on AI Systems.

Navita Goyal, Eleftheria Briakou, Amanda Liu, Connor Baumler, Claire Bonial, Jeffrey Micher, Clare R. Voss, Marine Carpuat, Hal Daumé III

CoRR, 2023

What Else Do I Need to Know? The Effect of Background Information on Users' Reliance on QA Systems.

Navita Goyal, Eleftheria Briakou, Amanda Liu, Connor Baumler, Claire Bonial, Jeffrey Micher, Clare R. Voss, Marine Carpuat, Hal Daumé III

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Which Examples Should be Multiply Annotated? Active Learning When Annotators May Disagree.

Connor Baumler, Anna Sotnikova, Hal Daumé III

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Recognition of They/Them as Singular Personal Pronouns in Coreference Resolution.

Connor Baumler, Rachel Rudinger

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Hybrid Semantics for Goal-Directed Natural Language Generation.

Connor Baumler, Soumya Ray

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022