🏢 School of Artificial Intelligence, University of Chinese Academy of Sciences

First benchmark for RAG reward models reveals their limitations and the need for preference-aligned training.

DEMO benchmark revolutionizes dialogue modeling by focusing on fine-grained elements (Prelude, Interlocution, Epilogue), enabling comprehensive evaluation and superior agent performance.