RAG / 检索增强生成

A Systematic Literature Review of Retrieval-Augmented Generation: Techniques, Metrics, and Challenges

Andrew Brown, Muhammad Roman, Barry Devereux

专题命中 检索器与排序 ：retrieval-augmented generation(title,abstract)；RAG(abstract)；retriever(abstract)；分类 cs.IR、cs.CL、cs.AI

Comments 58 page

Aligning LLMs for the Classroom with Knowledge-Based Retrieval -- A Comparative RAG Study

Amay Jain, Liu Cui, Si Chen

机构 * Student（学生） ； Downingtown STEM Academy ； Department of Computer Science（计算机科学系） ； West Chester University of Pennsylvania（宾夕法尼亚州韦斯特切斯特大学） 纠错

专题命中 检索器与排序 ：RAG(title,abstract)；retrieval augmented generation(abstract)；vector search(abstract)；分类 cs.AI

Comments This work has been submitted to the IEEE for possible publication

Towards End-to-End Model-Agnostic Explanations for RAG Systems

Viju Sudhi, Sinchana Ramakanth Bhat, Max Rudat, Roman Teucher, Nicolas Flores-Herr

专题命中 检索器与排序 ：RAG(title,abstract)；retrieval augmented generation(abstract)；分类 cs.IR

Comments Accepted to Workshop on Explainability in Information Retrieval (WExIR), SIGIR 2025 - July 17, 2025

MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval

Xixi Wu, Yanchao Tan, Nan Hou, Ruiyang Zhang, Hong Cheng

机构 * The Chinese University of Hong Kong（香港中文大学） ； Fuzhou University（福州大学） ； University of Macau（澳门大学） 纠错

专题命中 检索器与排序 ：retrieval-augmented generation(abstract)；RAG(abstract)；分类 cs.IR、cs.CL

Comments EMNLP Main 2025

ImportSnare: Directed "Code Manual" Hijacking in Retrieval-Augmented Code Generation

Kai Ye, Liangcai Su, Chenxiong Qian

机构 * The University of Hong Kong（香港大学） 纠错

专题命中 检索器与排序 ：retrieval-augmented generation(abstract)；RAG(abstract)；分类 cs.AI

Comments This paper has been accepted by the ACM Conference on Computer and Communications Security (CCS) 2025

Rethinking LLM Parametric Knowledge as Post-retrieval Confidence for Dynamic Retrieval and Reranking

Haoxiang Jin, Ronghan Li, Zixiang Lu, Qiguang Miao

专题命中 检索器与排序 ：retrieval-augmented generation(abstract)；RAG(abstract)；分类 cs.IR