Data science for urban equity: Making gentrification an accessible topic for data scientists, policymakers, and the community. - Bernease Herman; Gundula Proksch; Rachel Berney; Hillary Dawkins; Jacob Kovacs; Yahui Ma; Jacob Rich; Amanda Tan (CoRR, 2017)

Development of a Checklist Tool for Teaching Problem-Solving Skills. - 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 (ITiCSE, 2019)

Problem Solving Workshop. - Hillary Dawkins; George Chapman-Brown; Judi McCuaig (WCCCE, 2019)

Marked Attribute Bias in Natural Language Inference. - Hillary Dawkins (ACL/IJCNLP (Findings), 2021)

Second Order WinoBias (SoWinoBias) Test Set for Latent Gender Bias Detection in Coreference Resolution. - Hillary Dawkins (CoRR, 2021)

Region-dependent temperature scaling for certainty calibration and application to class-imbalanced token classification. - Hillary Dawkins; Isar Nejadgholi (ACL (2), 2022)

Projective Methods for Mitigating Gender Bias in Pre-trained Language Models. - Hillary Dawkins; Isar Nejadgholi; Daniel Gillis; Judi McCuaig (LREC/COLING, 2024)

Adaptable Moral Stances of Large Language Models on Sexist Content: Implications for Society and Gender Discourse. - Rongchen Guo; Isar Nejadgholi; Hillary Dawkins; Kathleen C. Fraser; Svetlana Kiritchenko (EMNLP, 2024)

WMT24 Test Suite: Gender Resolution in Speaker-Listener Dialogue Roles. - Hillary Dawkins; Isar Nejadgholi; Chi-kiu Lo (WMT, 2024)

When Detection Fails: The Power of Fine-Tuned Models to Generate Human-Like Social Media Text. - Hillary Dawkins; Kathleen C. Fraser; Svetlana Kiritchenko (ACL (Findings), 2025)

Detecting AI-Generated Text: Factors Influencing Detectability with Current Methods. - Kathleen C. Fraser; Hillary Dawkins; Svetlana Kiritchenko (J. Artif. Intell. Res., 2025)

Gender-Neutral Machine Translation Strategies in Practice. - Hillary Dawkins; Isar Nejadgholi; Chi-kiu Lo (CoRR, 2025)

Fine-Tuning Lowers Safety and Disrupts Evaluation Consistency. - Kathleen C. Fraser; Hillary Dawkins; Isar Nejadgholi; Svetlana Kiritchenko (CoRR, 2025)