VLBiasBench is a new large-scale benchmark with 128,342 samples covering nine social bias categories plus two intersectional ones to evaluate biases in LVLMs.
Reinforcing generated images via meta-learning for one-shot fine-grained visual recognition,
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VLBiasBench: A Comprehensive Benchmark for Evaluating Bias in Large Vision-Language Model
VLBiasBench is a new large-scale benchmark with 128,342 samples covering nine social bias categories plus two intersectional ones to evaluate biases in LVLMs.