RAG / 检索增强生成

FlexRAG: A Flexible and Comprehensive Framework for Retrieval-Augmented Generation

Zhuocheng Zhang, Yang Feng, Min Zhang

机构 * Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences (ICT/CAS)（中国科学院智能信息处理重点实验室） ； University of Chinese Academy of Sciences, China（中国科学院大学） ； Key Laboratory of AI Safety, Chinese Academy of Sciences（中国科学院人工智能安全重点实验室） ； Institute of Computing and Intelligence, Harbin Institute of Technology (Shenzhen), China（哈尔滨工业大学（深圳）计算机与智能信息研究院） 纠错

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

Comments Accepted by ACL 2025 Demo

RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language Processing

Yucheng Hu, Yuxing Lu

机构 * East China University of Science and Technology（东华大学） ； Peking University（北京大学） 纠错

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

Comments 30 pages, 7 figures. Draft version 1

PentaRAG: Large-Scale Intelligent Knowledge Retrieval for Enterprise LLM Applications

Abu Hanif Muhammad Syarubany, Chang Dong Yoo

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

Comments Annual Conference of The Institute of Electronics and Information Engineers

OpenTCM: A GraphRAG-Empowered LLM-based System for Traditional Chinese Medicine Knowledge Retrieval and Diagnosis

Jinglin He, Yunqi Guo, Lai Kwan Lam, Waikei Leung, Lixing He, Yuanan Jiang, Chi Chiu Wang, Guoliang Xing, Hongkai Chen

机构 * Department of Obstetrics and Gynaecology（妇产科系） ； School of Chinese Medicine（中医学系） 纠错

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

Comments 8 pages, 5 figures, 7 tables

LRP4RAG: Detecting Hallucinations in Retrieval-Augmented Generation via Layer-wise Relevance Propagation

Haichuan Hu, Congqing He, Xiaochen Xie, Quanjun Zhang

机构 * Alibaba Cloud（阿里云） ； School of Computer Sciences, Universiti Sains Malaysia（计算机科学学院，马来西亚国立大学） ； Department of Service Science and Operations Management, School of Management, Zhejiang University（服务科学与运营管理系，浙江大学） ； State Key Laboratory for Novel Software Technology, Nanjing University（新型软件技术国家重点实验室，南京大学） 纠错

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

Accurate and Energy Efficient: Local Retrieval-Augmented Generation Models Outperform Commercial Large Language Models in Medical Tasks

Konstantinos Vrettos, Michail E. Klontzas

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

Comments 18 pages, 3 Figures

Chunk Twice, Embed Once: A Systematic Study of Segmentation and Representation Trade-offs in Chemistry-Aware Retrieval-Augmented Generation

Mahmoud Amiri, Thomas Bocklitz

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

GraphRAG-Bench: Challenging Domain-Specific Reasoning for Evaluating Graph Retrieval-Augmented Generation

Yilin Xiao, Junnan Dong, Chuang Zhou, Su Dong, Qian-wen Zhang, Di Yin, Xing Sun, Xiao Huang

机构 * The Hong Kong Polytechnic University（香港理工大学） ； Tencent Youtu Lab（腾讯优图实验室） 纠错

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

RadioRAG: Online Retrieval-augmented Generation for Radiology Question Answering

Soroosh Tayebi Arasteh, Mahshad Lotfinia, Keno Bressem, Robert Siepmann, Lisa Adams, Dyke Ferber, Christiane Kuhl, Jakob Nikolas Kather, Sven Nebelung, Daniel Truhn

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

Comments Published in Radiology: Artificial Intelligence

Journal ref Radiology: Artificial Intelligence, (2025), 7(4):e240476

XGraphRAG: Interactive Visual Analysis for Graph-based Retrieval-Augmented Generation

Ke Wang, Bo Pan, Yingchaojie Feng, Yuwei Wu, Jieyi Chen, Minfeng Zhu, Wei Chen

机构 * State Key Lab of CAD&CG, Zhejiang University（浙江大学计算机辅助设计与图形学国家重点实验室） 纠错

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

Comments Accepted to IEEE Pacific Visualization Conference 2025

Ad Auctions for LLMs via Retrieval Augmented Generation

MohammadTaghi Hajiaghayi, Sébastien Lahaie, Keivan Rezaei, Suho Shin

机构 * University of Maryland（马里兰大学） ； Google Research（谷歌研究院） 纠错

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

Comments NeurIPS 2024

CIIR@LiveRAG 2025: Optimizing Multi-Agent Retrieval Augmented Generation through Self-Training

Alireza Salemi, Mukta Maddipatla, Hamed Zamani

机构 * University of Massachusetts Amherst（马萨诸塞大学阿默斯特分校） 纠错

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

Learning Efficient and Generalizable Graph Retriever for Knowledge-Graph Question Answering

Tianjun Yao, Haoxuan Li, Zhiqiang Shen, Pan Li, Tongliang Liu, Kun Zhang

机构 * Mohamed bin Zayed University of Artificial Intelligence（莫扎德·本·扎耶德人工智能大学） ； Peking university（北京大学） ； Georgia Institute of Technology（佐治亚理工学院） ； The University of Sydney（悉尼大学） ； Carnegie Mellon University（卡内基梅隆大学） 纠错

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

Comments 32 pages, 28 figures

Dynamic and Parametric Retrieval-Augmented Generation

Weihang Su, Qingyao Ai, Jingtao Zhan, Qian Dong, Yiqun Liu

机构 * Tsinghua University（清华大学） 纠错

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

A Graph-Retrieval-Augmented Generation Framework Enhances Decision-Making in the Circular Economy

Yang Zhao, Chengxiao Dai, Dusit Niyato, Chuan Fu Tan, Keyi Xiang, Yueyang Wang, Zhiquan Yeo, Daren Tan Zong Loong, Jonathan Low Zhaozhi, Eugene H. Z. HO

机构 * Singapore Institute of Manufacturing Technology (SIMTech)（新加坡制造技术研究所） ； Agency for Science, Technology and Research (A*STAR)（科学、技术及研究局） ； The University of Sydney（悉尼大学） ； Nanyang Technological University（南洋理工大学） ； National University of Singapore（国立新加坡大学） 纠错

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

GPR: Empowering Generation with Graph-Pretrained Retriever

Xiaochen Wang, Zongyu Wu, Yuan Zhong, Xiang Zhang, Suhang Wang, Fenglong Ma

机构 * The Pennsylvania State University（宾夕法尼亚州立大学） 纠错

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

VRAG-RL: Empower Vision-Perception-Based RAG for Visually Rich Information Understanding via Iterative Reasoning with Reinforcement Learning

Qiuchen Wang, Ruixue Ding, Yu Zeng, Zehui Chen, Lin Chen, Shihang Wang, Pengjun Xie, Fei Huang, Feng Zhao

机构 * Tongyi Lab, Alibaba Group（通义实验室，阿里巴巴集团） 纠错

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

Retrieval-Augmented Generation Systems for Intellectual Property via Synthetic Multi-Angle Fine-tuning

Runtao Ren, Jian Ma, Jianxi Luo

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

Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models

Fei Wang, Xingchen Wan, Ruoxi Sun, Jiefeng Chen, Sercan Ö. Arık

机构 * Google Cloud AI Research（谷歌云人工智能研究） ； University of Southern California（南加州大学） 纠错

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

Comments ACL 2025 main conference

A Reality Check on Context Utilisation for Retrieval-Augmented Generation

Lovisa Hagström, Sara Vera Marjanović, Haeun Yu, Arnav Arora, Christina Lioma, Maria Maistro, Pepa Atanasova, Isabelle Augenstein

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

Comments Accepted at ACL 2025

Graph of Records: Boosting Retrieval Augmented Generation for Long-context Summarization with Graphs

Haozhen Zhang, Tao Feng, Jiaxuan You

机构 * University of Illinois at Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校） 纠错

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

Comments Accepted by ACL 2025 Main. The code is available at https://github.com/ulab-uiuc/GoR

RaDeR: Reasoning-aware Dense Retrieval Models

Debrup Das, Sam O' Nuallain, Razieh Rahimi

专题命中 检索器与排序 ：dense retrieval(title,abstract)；retriever(abstract)；分类 cs.IR、cs.CL

Comments 26 pages

Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps

Khandakar Ashrafi Akbar, Md Nahiyan Uddin, Latifur Khan, Trayce Hockstad, Mizanur Rahman, Mashrur Chowdhury, Bhavani Thuraisingham

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

Comments Presented at the Transportation Research Board (TRB) Annual Meeting 2025, and subsequently submitted for publication consideration in the Transportation Research Record (TRR)

InfoDeepSeek: Benchmarking Agentic Information Seeking for Retrieval-Augmented Generation

Yunjia Xi, Jianghao Lin, Menghui Zhu, Yongzhao Xiao, Zhuoying Ou, Jiaqi Liu, Tong Wan, Bo Chen, Weiwen Liu, Yasheng Wang, Ruiming Tang, Weinan Zhang, Yong Yu

机构 * Shanghai Jiao Tong University（上海交通大学） ； Huawei Noah’s Ark Lab（华为诺亚实验室） 纠错

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

Single LLM, Multiple Roles: A Unified Retrieval-Augmented Generation Framework Using Role-Specific Token Optimization

Yutao Zhu, Jiajie Jin, Hongjin Qian, Zheng Liu, Zhicheng Dou, Ji-Rong Wen

机构 * Gaoling School of Artificial Intelligence, Renmin University of China（中国人民大学耿丽人工智能学院） ； Beijing Academy of Artificial Intelligence, China（北京人工智能研究院） 纠错

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

Prompt Perturbation in Retrieval-Augmented Generation based Large Language Models

Zhibo Hu, Chen Wang, Yanfeng Shu, Helen, Paik, Liming Zhu

机构 * The University of New South Wales（新南威尔士大学） ； CSIRO Data61（澳大利亚联邦科学与工业研究组织数据61） 纠错

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

Comments 12 pages, 9 figures

Journal ref KDD '24: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining Barcelona Spain August 25 - 29, 2024

EcoSafeRAG: Efficient Security through Context Analysis in Retrieval-Augmented Generation

Ruobing Yao, Yifei Zhang, Shuang Song, Neng Gao, Chenyang Tu

机构 * Institute of Information Engineering, Chinese Academy of Sciences（信息工程研究所，中国科学院） ； School of Cybersecurity, University of Chinese Academy of Sciences（网络安全学院，中国科学院大学） ； State Key Laboratory of Cyberspace Security Defense（网络空间安全防御国家重点实验室） 纠错

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

ReaRAG: Knowledge-guided Reasoning Enhances Factuality of Large Reasoning Models with Iterative Retrieval Augmented Generation

Zhicheng Lee, Shulin Cao, Jinxin Liu, Jiajie Zhang, Weichuan Liu, Xiaoyin Che, Lei Hou, Juanzi Li

机构 * Tsinghua University（清华大学） ； Siemens AG（西门子公司） 纠错

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

Know3-RAG: A Knowledge-aware RAG Framework with Adaptive Retrieval, Generation, and Filtering

Xukai Liu, Ye Liu, Shiwen Wu, Yanghai Zhang, Yihao Yuan, Kai Zhang, Qi Liu

机构 * School of Computer Science and Technology, University of Science and Technology of China（计算机科学与技术学院，中国科学技术大学） ； State Key Laboratory of Cognitive Intelligence, Hefei, Anhui, China（认知智能国家重点实验室，安徽合肥，中国） ； The Hong Kong University of Science and Technology（香港科学与技术大学） 纠错

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

Enhancing Low-Resource Minority Language Translation with LLMs and Retrieval-Augmented Generation for Cultural Nuances

Chen-Chi Chang, Chong-Fu Li, Chu-Hsuan Lee, Hung-Shin Lee

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

Comments Accepted to IntelliSys 2025