63 citations · 215 across the 16 of their papers we have counts for
4 papers · 1 filter
WMT24 Test Suite: Gender Resolution in Speaker-Listener Dialogue Roles
Hillary Dawkins, Isar Nejadgholi, Chi-kiu Lo
We assess the difficulty of gender resolution in literary-style dialogue settings and the influence of gender stereotypes. Instances of the test suite contain spoken dialogue inter…
Adaptable Moral Stances of Large Language Models on Sexist Content: Implications for Society and Gender Discourse
Rongchen Guo, Isar Nejadgholi, Hillary Dawkins +2
This work provides an explanatory view of how LLMs can apply moral reasoning to both criticize and defend sexist language. We assessed eight large language models, all of which dem…
Detecting AI-Generated Text: Factors Influencing Detectability with Current Methods
Kathleen C. Fraser, Hillary Dawkins, Svetlana Kiritchenko
Large language models (LLMs) have advanced to a point that even humans have difficulty discerning whether a text was generated by another human, or by a computer. However, knowing…
Projective Methods for Mitigating Gender Bias in Pre-trained Language Models
Hillary Dawkins, Isar Nejadgholi, Daniel Gillis +1
Mitigation of gender bias in NLP has a long history tied to debiasing static word embeddings. More recently, attention has shifted to debiasing pre-trained language models. We stud…