Bridging the Semantic-Utility Gap in Multimodal RAG via Generator-in-the-Loop Alignment

Zhan-Lun Chang, Dong-Jun Han, Seyyedali Hosseinalipour +2

Vision-language models (VLMs) augmented with retrieval-augmented generation (RAG) benefit from access to external evidence. However, standard retrievers and rerankers optimize for…