2025
RAG+: Enhancing Retrieval-Augmented Generation with Application-Aware Reasoning
EMNLP 2025
The integration of external knowledge through Retrieval-Augmented Generation (RAG) has become foundational in enhancing large language models (LLMs) for knowledge-intensive tasks. However, existing RAG paradigms often overlook the cognitive step of applying knowledge, leaving a gap between retrieved