3 papers
cs.CL2025
Prompting Away Stereotypes? Evaluating Bias in Text-to-Image Models for Occupations
Shaina Raza, Maximus Powers, Partha Pratim Saha +2
Text-to-Image (TTI) models are powerful creative tools but risk amplifying harmful social biases. We frame representational societal bias assessment as an image curation and evalua…
cs.CV2025
DanceText: A Training-Free Layered Framework for Controllable Multilingual Text Transformation in Images
Zhenyu Yu, Mohd Yamani Idna Idris, Hua Wang +6
We present DanceText, a training-free framework for multilingual text editing in images, designed to support complex geometric transformations and achieve seamless foreground-backg…
cs.CL2024
Responsible AI in NLP: GUS-Net Span-Level Bias Detection Dataset and Benchmark for Generalizations, Unfairness, and Stereotypes
Maximus Powers, Shaina Raza, Alex Chang +5
Representational harms in language technologies often occur in short spans within otherwise neutral text, where phrases may simultaneously convey generalizations, unfairness, or st…