AIBullisharXiv – CS AI · 14h ago7/10
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Variational Visual Question Answering for Uncertainty-Aware Selective Prediction
Researchers demonstrate that variational Bayesian methods significantly improve Vision Language Models' reliability for Visual Question Answering tasks by enabling selective prediction with reduced hallucinations and overconfidence. The proposed Variational VQA approach shows particular strength at low error tolerances and offers a practical path to making large multimodal models safer without proportional computational costs.