Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey
on How to Make your LLMs use External Data More Wisely

Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

23 September 2024

Yuqing Yang

Zilong Wang

Lili Qiu

Papers citing "Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely"

6 / 6 papers shown

Title
DocSpiral: A Platform for Integrated Assistive Document Annotation through Human-in-the-Spiral Qiang Sun Sirui Li Tingting Bi D. Huynh Mark Reynolds Yuanyi Luo Wei Liu 22 0 0 06 May 2025
SymbioticRAG: Enhancing Document Intelligence Through Human-LLM Symbiotic Collaboration Qiang Sun Tingting Bi Sirui Li E. Holden Paul Duuring Kai Niu Wei Liu 22 0 0 05 May 2025
Empowering Agentic Video Analytics Systems with Video Language Models Yuxuan Yan Shiqi Jiang Ting Cao Y. Yang Qianqian Yang Yuanchao Shu Y. Yang Lili Qiu VLM 67 0 0 01 May 2025
RAG LLMs are Not Safer: A Safety Analysis of Retrieval-Augmented Generation for Large Language Models Bang An Shiyue Zhang Mark Dredze 54 0 0 25 Apr 2025
A Pilot Empirical Study on When and How to Use Knowledge Graphs as Retrieval Augmented Generation Xujie Yuan Y. Liu Shimin Di Shiwen Wu Libin Zheng Rui Meng Lei Chen Xiaofang Zhou Jian Yin 28 0 0 28 Feb 2025
Large Language Model Can Be a Foundation for Hidden Rationale-Based Retrieval Luo Ji Feixiang Guo Teng Chen Qingqing Gu Xiaoyu Wang ... Peng Yu Yue Zhao Hongyang Lei Zhonglin Jiang Yong Chen RALM LRM 85 0 0 21 Dec 2024