Papers by Matthew A. Turk

1 papers
Mitigate One, Skew Another? Tackling Intersectional Biases in Text-to-Image Models (2025.findings-emnlp)

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Challenge: a new tool for analyzing and quantifying bias interactions in text-to-image models is being developed . a bias in text models can be deeply interrelated, but measuring such effects quantitatively remains a challenge.
Approach: They propose a tool to quantify bias interactions in text-to-image models by analyzing and quantifying bias interactions along bias axes.
Outcome: a new tool analyzes and quantifies bias interactions in text-to-image models . estimates show strong correlations with observed post-mitigation outcomes .

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