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ORCIDHillary Dawkins
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2020 – today
- 2024
[c6]Hillary Dawkins, Isar Nejadgholi, Daniel Gillis, Judi McCuaig:
Projective Methods for Mitigating Gender Bias in Pre-trained Language Models. LREC/COLING 2024: 13079-13091- [c5]Rongchen Guo, Isar Nejadgholi, Hillary Dawkins, Kathleen C. Fraser, Svetlana Kiritchenko:
Adaptable Moral Stances of Large Language Models on Sexist Content: Implications for Society and Gender Discourse. EMNLP 2024: 19548-19564 - [i6]Hillary Dawkins, Isar Nejadgholi, Daniel Gillis, Judi McCuaig:
Projective Methods for Mitigating Gender Bias in Pre-trained Language Models. CoRR abs/2403.18803 (2024) - [i5]Kathleen C. Fraser, Hillary Dawkins, Svetlana Kiritchenko:
Detecting AI-Generated Text: Factors Influencing Detectability with Current Methods. CoRR abs/2406.15583 (2024) - [i4]Rongchen Guo, Isar Nejadgholi, Hillary Dawkins, Kathleen C. Fraser, Svetlana Kiritchenko:
Adaptable Moral Stances of Large Language Models on Sexist Content: Implications for Society and Gender Discourse. CoRR abs/2410.00175 (2024) - 2022
- [c4]Hillary Dawkins, Isar Nejadgholi:
Region-dependent temperature scaling for certainty calibration and application to class-imbalanced token classification. ACL (2) 2022: 538-544 - 2021
- [c3]Hillary Dawkins:
Marked Attribute Bias in Natural Language Inference. ACL/IJCNLP (Findings) 2021: 4214-4226 - [i3]Hillary Dawkins:
Marked Attribute Bias in Natural Language Inference. CoRR abs/2109.14039 (2021) - [i2]Hillary Dawkins:
Second Order WinoBias (SoWinoBias) Test Set for Latent Gender Bias Detection in Coreference Resolution. CoRR abs/2109.14047 (2021)
2010 – 2019
- 2019
- [c2]Hillary Dawkins, Grant Douglas, Kevin Glover-Netherton, David Hudec, Sean Lunt, Dalton Polhill, Mostafa Rashed, Matthew Sampson, Alliyya Mohammed, James Mosley, Rhys Young, Judi McCuaig:
Development of a Checklist Tool for Teaching Problem-Solving Skills. ITiCSE 2019: 301 - [c1]Hillary Dawkins, George Chapman-Brown, Judi McCuaig:
Problem Solving Workshop. WCCCE 2019: 20:1 - 2017
- [i1]Bernease Herman
, Gundula Proksch, Rachel Berney, Hillary Dawkins, Jacob Kovacs, Yahui Ma, Jacob Rich, Amanda Tan:
Data science for urban equity: Making gentrification an accessible topic for data scientists, policymakers, and the community. CoRR abs/1710.02447 (2017)
Coauthor Index
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