Editorial:Special Section on Challenges and Opportunities in Retrieval-Augmented Generation for LLMs:Techniques,Trends,and Applications
摘要
Models(LLMs)by integrating external knowledge to substantially improve accuracy and mitigate hallucinations.As a pivotal technology in the contemporary generative Artificial Intelligence(AI)landscape,RAG addresses fundamental challenges in knowledge-intensive tasks.This special issue serves as a dedicated platform to showcase these cutting-edge advancements.It features six rigorously peer-reviewed papers that present state-of-the-art research and applications in the rapidly evolving field of RAG.
