56 citations · 265 across the 31 of their papers we have counts for
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cs.CV2026
Gender Bias in Vision-Language In-Context Learning
Tong Xiang, Noa Garcia, Yuta Nakashima
In-context learning (ICL) enables large vision-language models (LVLMs) to perform tasks by following patterns from in-context examples, yet its potential to amplify societal biases…
cs.CV2026
Invisible Shortcuts: Why Vision Encoders Know Your Camera
Vladan Stojnić, Ryan Ramos, Giorgos Kordopatis-Zilos +2
Deep vision models exploit shortcuts, relying on cues that correlate with supervision signals. Prior work has focused on visible biases, such as object-background or texture correl…