New papers improve knowledge-based visual question answering

Four arXiv papers propose methods to improve knowledge-based visual question answering (KB-VQA), including structured context reasoning, structure-aware evidence generation, entity-aligned retrieval, and Bayesian data reweighting. Each targets limitations in retrieval and reasoning with external knowledge.