Novel Approach to Question Answering: Cooperative Retrieval-Augmented Generation

This ArXiv paper explores a cooperative approach to Retrieval-Augmented Generation (RAG) for question answering, leveraging mutual information exchange and layer-wise contrastive ranking. The research offers a promising methodology for improving the accuracy and efficiency of question-answering systems.

• •Investigates a cooperative RAG approach.
• •Employs mutual information exchange.
• •Uses layer-wise contrastive ranking.