2 papers
cs.CL2024
Multimodal Reranking for Knowledge-Intensive Visual Question Answering
Haoyang Wen, Honglei Zhuang, Hamed Zamani +2
Knowledge-intensive visual question answering requires models to effectively use external knowledge to help answer visual questions. A typical pipeline includes a knowledge retriev…
cs.CL2024
Stochastic RAG: End-to-End Retrieval-Augmented Generation through Expected Utility Maximization
Hamed Zamani, Michael Bendersky
This paper introduces Stochastic RAG--a novel approach for end-to-end optimization of retrieval-augmented generation (RAG) models that relaxes the simplifying assumptions of margin…