Relevance-aware Multi-context Contrastive Decoding for Retrieval-augmented Visual Question Answering

A new decoding technique called RMCD improves how AI models answer questions about images by using retrieved information. It intelligently combines answers generated from multiple relevant sources while reducing the influence of irrelevant data. The method, which requires no extra training, achieved top results on three visual question-answering benchmarks and works robustly even with imperfect information retrieval. This makes AI assistants more accurate and knowledgeable about specific entities in pictures.