RAG / 检索增强生成

Lessons from A Large Language Model-based Outdoor Trail Recommendation Chatbot with Retrieval Augmented Generation

Julia Ann Mathew, Suining He

机构 * University of Connecticut（康涅狄格大学） ； School of Computing（计算学院） 纠错

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

Comments 4 pages, UrbComp 2025

MAO-ARAG: Multi-Agent Orchestration for Adaptive Retrieval-Augmented Generation

Yiqun Chen, Erhan Zhang, Lingyong Yan, Shuaiqiang Wang, Jizhou Huang, Dawei Yin, Jiaxin Mao

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

RATE: An LLM-Powered Retrieval Augmented Generation Technology-Extraction Pipeline

Karan Mirhosseini, Arya Aftab, Alireza Sheikh

机构 * Dept. of Management, Science and Technology（管理、科学与技术系） ； Amirkabir University of Technology（阿姆尔卡比尔科技大学） ； Dept. of Electrical Engineering（电气工程系） ； Sharif University of Technology（沙里夫科技大学） 纠错

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

Comments 9 pages, 4 figures, 1 table

PrismRAG: Boosting RAG Factuality with Distractor Resilience and Strategized Reasoning

Mohammad Kachuee, Teja Gollapudi, Minseok Kim, Yin Huang, Kai Sun, Xiao Yang, Jiaqi Wang, Nirav Shah, Yue Liu, Aaron Colak, Anuj Kumar, Wen-tau Yih, Xin Luna Dong

机构 * Meta Reality Labs（Meta现实实验室） ； Meta FAIR 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

Advancing Risk and Quality Assurance: A RAG Chatbot for Improved Regulatory Compliance

Lars Hillebrand, Armin Berger, Daniel Uedelhoven, David Berghaus, Ulrich Warning, Tim Dilmaghani, Bernd Kliem, Thomas Schmid, Rüdiger Loitz, Rafet Sifa

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

Comments Accepted and published at BigData 2024, 3 pages, 3 tables, 2 figures

Journal ref 2024 IEEE International Conference on Big Data (BigData), Washington, DC, USA, 2024, pp. 8668-8670

DeRAG: Black-box Adversarial Attacks on Multiple Retrieval-Augmented Generation Applications via Prompt Injection

Jerry Wang, Fang Yu

机构 * Department of Management Information Systems, National ChengChi University（管理信息系，国立中正大学） 纠错

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

Comments Accepted by KDD Workshop on Prompt Optimization 2025

Dynamic Context Tuning for Retrieval-Augmented Generation: Enhancing Multi-Turn Planning and Tool Adaptation

Jubin Abhishek Soni, Amit Anand, Rajesh Kumar Pandey, Aniket Abhishek Soni

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

Comments We are withdrawing the submission in order to thoroughly revise the work

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