| Which examples should be multiply annotated? active learning when annotators may disagree C Baumler, A Sotnikova, H Daumé III Findings of the Association for Computational Linguistics: ACL 2023, 10352-10371, 2023 | 34 | 2023 |
| Recognition of they/them as singular personal pronouns in coreference resolution C Baumler, R Rudinger Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 19 | 2022 |
| The Impact of Explanations on Fairness in Human-AI Decision-Making: Protected vs Proxy Features N Goyal, C Baumler, T Nguyen, H Daumé III Proceedings of the 29th International Conference on Intelligent User …, 2024 | 16 | 2024 |
| What Else Do I Need to Know? The Effect of Background Information on Users' Reliance on AI Systems N Goyal, E Briakou, A Liu, C Baumler, C Bonial, J Micher, CR Voss, ... arXiv preprint arXiv:2305.14331, 2023 | 13 | 2023 |
| Hybrid semantics for goal-directed natural language generation C Baumler, S Ray Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 8 | 2022 |
| On the Mutual Influence of Gender and Occupation in LLM Representations H An, C Baumler, A Sancheti, R Rudinger arXiv preprint arXiv:2503.06792, 2025 | 5 | 2025 |
| Anti-stereotypical predictive text suggestions do not reliably yield anti-stereotypical writing C Baumler, H Daumé III arXiv preprint arXiv:2409.20390, 2024 | 3 | 2024 |
| Who’s the Author? How Explanations Impact User Reliance in AI-Assisted Authorship Attribution C Bao, C Baumler, H Daumé III, M Carpuat Findings of the Association for Computational Linguistics: EMNLP 2025, 25312 …, 2025 | | 2025 |
Hal Daumé IIIAssociate Professor of Computer Science, University of MarylandVerified email at umiacs.umd.edu
