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Kathleen Fraser

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CY2
  • cs.CL1
ORCID 0000-0002-0752-6705

identity via Semantic Scholar / OpenAlex

most citedA Friendly Face: Do Text-to-Image Systems Rely on Stereotypes when the Input is Under-Specified?

13 citations · 16 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CL2024★ 1 cited

Challenging Negative Gender Stereotypes: A Study on the Effectiveness of Automated Counter-Stereotypes

Isar Nejadgholi, Kathleen C. Fraser, Anna Kerkhof +1

Gender stereotypes are pervasive beliefs about individuals based on their gender that play a significant role in shaping societal attitudes, behaviours, and even opportunities. Rec…

cs.CY2024★ 2 cited

Examining Gender and Racial Bias in Large Vision-Language Models Using a Novel Dataset of Parallel Images

Kathleen C. Fraser, Svetlana Kiritchenko

Following on recent advances in large language models (LLMs) and subsequent chat models, a new wave of large vision-language models (LVLMs) has emerged. Such models can incorporate…

cs.CY2023★ 13 cited

A Friendly Face: Do Text-to-Image Systems Rely on Stereotypes when the Input is Under-Specified?

Kathleen C. Fraser, Svetlana Kiritchenko, Isar Nejadgholi

As text-to-image systems continue to grow in popularity with the general public, questions have arisen about bias and diversity in the generated images. Here, we investigate proper…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.