Author

Yuta Nakashima

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Preprint Sep 2026

Gender Bias in Vision-Language In-Context Learning

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 remains underexplored. We systematically investigate how ICL influences gender bias in LVLMs through VL-BICLE, an evaluation framework comp...

Tong Xiang, Yuta Nakashima, Noa Garcia · 0 citations