A Survey of Retrieval-Augmented Language Models for Knowledge-Intensive Text Applications
Retrieval-Augmented Language Models (RALMs) have emerged as an effective approach for addressing the limitations of conventional language models in knowledge-intensive text applications. These models combine external knowledge retrieval and language generation, enabling them to deliver more relevant, accurate, and cont...