RAG / 检索增强生成

Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs

Yangning Li, Weizhi Zhang, Yuyao Yang, Wei-Chieh Huang, Yaozu Wu, Junyu Luo, Yuanchen Bei, Henry Peng Zou, Xiao Luo, Yusheng Zhao, Chunkit Chan, Yankai Chen, Zhongfen Deng, Yinghui Li, Hai-Tao Zheng, Dongyuan Li, Renhe Jiang, Ming Zhang, Yangqiu Song, Philip S. Yu

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

Comments submitted to ARR May

Enhancing Retrieval Augmented Generation with Hierarchical Text Segmentation Chunking

Hai Toan Nguyen, Tien Dat Nguyen, Viet Ha Nguyen

机构 * Institute for Artificial Intelligence, VNU University of Engineering and Technology（人工智能研究所，越南工程大学） 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

xpSHACL: Explainable SHACL Validation using Retrieval-Augmented Generation and Large Language Models

Gustavo Correa Publio, José Emilio Labra Gayo

机构 * University of Leipzig（莱比锡大学） ； University of Oviedo（奥维耶多大学） 纠错

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

Comments Accepted for publication in the 2nd LLM+Graph Workshop, colocated at VLDB'25

Shifting from Ranking to Set Selection for Retrieval Augmented Generation

Dahyun Lee, Yongrae Jo, Haeju Park, Moontae Lee

机构 * LG AI Research（LG人工智能研究） 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

Comments Accepted to ACL 2025 main (Oral Presentation)

Deep Retrieval at CheckThat! 2025: Identifying Scientific Papers from Implicit Social Media Mentions via Hybrid Retrieval and Re-Ranking

Pascal J. Sager, Ashwini Kamaraj, Benjamin F. Grewe, Thilo Stadelmann

机构 * University of Zurich（苏黎世大学） ； Centre for Artificial Intelligence（人工智能中心） ； Zurich University of Applied Sciences（应用科学大学） ； Institute of Neuroinformatics（神经信息学研究所） ； European Centre for Living Technology（欧洲生活技术中心） 纠错

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

Rethinking All Evidence: Enhancing Trustworthy Retrieval-Augmented Generation via Conflict-Driven Summarization

Juan Chen, Baolong Bi, Wei Zhang, Jingyan Sui, Xiaofei Zhu, Yuanzhuo Wang, Lingrui Mei, Shenghua Liu

机构 * University of Chinese Academy of Sciences（中国科学院大学） ； Chinese Academy of Sciences（中国科学院） ； National University of Defense Technology（国防科技大学） ； Chongqing University of Technology（重庆理工大学） 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

A Data Science Approach to Calcutta High Court Judgments: An Efficient LLM and RAG-powered Framework for Summarization and Similar Cases Retrieval

Puspendu Banerjee, Aritra Mazumdar, Wazib Ansar, Saptarsi Goswami, Amlan Chakrabarti

机构 * A.K.Choudhury School of IT（A.K.Choudhury信息科技学院） ； University of Calcutta（加尔各答大学） ； Department of Computer Science（计算机科学系） ； Bangabasi Morning College（Bangabasi晨学院） 纠错

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

Comments 12 pages, 6 figures

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)