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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.CV2023★ 1 cited
Concatenated Masked Autoencoders as Spatial-Temporal Learner
Zhouqiang Jiang, Bowen Wang, Tong Xiang +4
Learning representations from videos requires understanding continuous motion and visual correspondences between frames. In this paper, we introduce the Concatenated Masked Autoenc…