Author

Caren Han

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Preprint Sep 2026

IMPLICIT-Bench: Measuring Implicit Bias in Text-to-Image Models under Neutral Prompts

Text-to-image (T2I) models are typically evaluated for bias using slot-based templates such as ``a photo of a [profession]''. Such templates probe only \emph{explicit} demographic attributes (e.g., gender, skin tone) in isolation. They overlook a broader \emph{implicit} bias that arises in natural prompts: when stereot...

Yue Dai, Zi-Yang Liu, Marc Cheong et al. · 0 citations

#artificial intelligence Feb 2026

FiLoRA: Focus-and-Ignore LoRA for Controllable Feature Reliance

FiLoRA is introduced, an instruction-conditioned, parameter-efficient adaptation framework that enables controllable modulation of feature reliance while keeping the task and predictive objective fixed and suggests that instruction-conditioned parameter adaptation can serve as a practical mechanism for intervening on i...

Hyunsuk Chung, Caren Han, Yerin Choi et al. · arXiv.org · 1 citation