Adri{\`a} de Gispert

RAGferee: Building Contextual Reward Models for Retrieval-Augmented Generation

Existing Reward Models (RMs), typically trained on general preference data, struggle in Retrieval Augmented Generation (RAG) settings, which require judging responses for faithfulness to retrieved context, relevance to the user query, appropriate refusals when context is insufficient, completeness a