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cs.CV2025
Bias Beyond Demographics: Probing Decision Boundaries in Black-Box LVLMs via Counterfactual VQA
Zaiying Zhao, Toshihiko Yamasaki
Recent advances in large vision-language models (LVLMs) have amplified concerns about fairness, yet existing evaluations remain confined to demographic attributes and often conflat…
cs.CV2024
Language-guided Detection and Mitigation of Unknown Dataset Bias
Zaiying Zhao, Soichiro Kumano, Toshihiko Yamasaki
Dataset bias is a significant problem in training fair classifiers. When attributes unrelated to classification exhibit strong biases towards certain classes, classifiers trained o…