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Static bias evaluations miss the mark; DeepBias reveals hidden vulnerabilities in LVLMs through an adaptive probing process that evolves with the model's responses.
VecFormer slashes the computational cost of graph transformers while boosting out-of-distribution generalization by operating attention on quantized "graph tokens" instead of individual nodes.
