RAG / 检索增强生成 - arXivDaily 专题

2508.08610 2025-08-13 cs.CL 88%

Optimizing Retrieval-Augmented Generation (RAG) for Colloquial Cantonese: A LoRA-Based Systematic Review

David Santandreu Calonge, Linda Smail

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

Comments 27 pages, 1 figure, 8 tables

2508.08149 2025-08-13 cs.CL 88%

REX-RAG: Reasoning Exploration with Policy Correction in Retrieval-Augmented Generation

Wentao Jiang, Xiang Feng, Zengmao Wang, Yong Luo, Pingbo Xu, Zhe Chen, Bo Du, Jing Zhang

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

Comments 17 pages, 4 figures; updated references

2507.21453 2025-08-05 cs.AI 88%

Validating Pharmacogenomics Generative Artificial Intelligence Query Prompts Using Retrieval-Augmented Generation (RAG)

Ashley Rector, Keaton Minor, Kamden Minor, Jeff McCormack, Beth Breeden, Ryan Nowers, Jay Dorris

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

2412.16708 2025-07-29 cs.IR 88%

Towards More Robust Retrieval-Augmented Generation: Evaluating RAG Under Adversarial Poisoning Attacks

Jinyan Su, Jin Peng Zhou, Zhengxin Zhang, Preslav Nakov, Claire Cardie

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

2504.13425 2025-07-18 cs.CL 88%

Secure Multifaceted-RAG for Enterprise: Hybrid Knowledge Retrieval with Security Filtering

Grace Byun, Shinsun Lee, Nayoung Choi, Jinho D. Choi

机构 * Emory University（埃默里大学）； Hyundai Motor Company（现代汽车公司）

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

2507.08862 2025-07-15 cs.CR cs.CL 88%

RAG Safety: Exploring Knowledge Poisoning Attacks to Retrieval-Augmented Generation

Tianzhe Zhao, Jiaoyan Chen, Yanchi Ru, Haiping Zhu, Nan Hu, Jun Liu, Qika Lin

机构 * School of Computer Science and Technology,Xi'an Jiaotong University（西安交通大学计算机科学与技术学院）； Department of Computer Science, The University of Manchester（曼彻斯特大学计算机科学系）； School of Computer Science and Engineering, Southeast University（东南大学计算机科学与工程学院）； National University of Singapore（新加坡国立大学）

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

Comments 13 pages, 6 figures

2504.07717 2025-06-23 cs.CR cs.AI 88%

PR-Attack: Coordinated Prompt-RAG Attacks on Retrieval-Augmented Generation in Large Language Models via Bilevel Optimization

Yang Jiao, Xiaodong Wang, Kai Yang

机构 * Tongji University（同济大学）； Columbia University（哥伦比亚大学）

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

Comments Accepted at SIGIR 2025

2506.11415 2025-06-16 cs.LG cs.CL cs.CR 88%

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs

Linlin Wang, Tianqing Zhu, Laiqiao Qin, Longxiang Gao, Wanlei Zhou

机构 * Faculty of Data Science, City University of Macau（数据科学学院，澳门城市大学）； Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences)（计算能力网络与信息安全重点实验室，教育部，山东计算机科学中心，齐鲁工业大学（山东科学院））； Shandong Provincial Key Laboratory of Computing Power Internet and Service Computing, Shandong Fundamental Research Center for Computer Science（山东省计算能力互联网与服务计算重点实验室，山东省计算机科学基础研究中心）

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

2505.16133 2025-06-04 cs.IR 88%

HASH-RAG: Bridging Deep Hashing with Retriever for Efficient, Fine Retrieval and Augmented Generation

Jinyu Guo, Xunlei Chen, Qiyang Xia, Zhaokun Wang, Jie Ou, Libo Qin, Shunyu Yao, Wenhong Tian

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

Comments Accepted at Findings of ACL 2025

2505.03275 2025-05-07 cs.AI cs.SE 88%

RAG-MCP: Mitigating Prompt Bloat in LLM Tool Selection via Retrieval-Augmented Generation

Tiantian Gan, Qiyao Sun

机构 * Beijing University of Post and Communications（北京邮电大学）； Queen Mary University of London（伦敦玛丽女王大学）

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

2504.10074 2025-04-22 cs.AI 88%

MMKB-RAG: A Multi-Modal Knowledge-Based Retrieval-Augmented Generation Framework

Zihan Ling, Zhiyao Guo, Yixuan Huang, Yi An, Shuai Xiao, Jinsong Lan, Xiaoyong Zhu, Bo Zheng

机构 * Peking University（北京大学）； Alibaba Group（阿里巴巴集团）

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

2504.13587 2025-04-21 cs.HC cs.AI 88%

RAG Without the Lag: Interactive Debugging for Retrieval-Augmented Generation Pipelines

Quentin Romero Lauro, Shreya Shankar, Sepanta Zeighami, Aditya Parameswaran

机构 * University of Pittsburgh（匹兹堡大学）； UC Berkeley（加州大学伯克利分校）

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

Comments 15 pages, 7 figures, 2 tables

2504.04062 2025-04-08 cs.IR 88%

QE-RAG: A Robust Retrieval-Augmented Generation Benchmark for Query Entry Errors

Kepu Zhang, Zhongxiang Sun, Weijie Yu, Xiaoxue Zang, Kai Zheng, Yang Song, Han Li, Jun Xu

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

2409.19804 2025-03-28 cs.CL 88%

Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation Systems

Xuyang Wu, Shuowei Li, Hsin-Tai Wu, Zhiqiang Tao, Yi Fang

机构 * Santa Clara University（圣克拉拉大学）； DOCOMO Innovations, Inc.（docomo创新公司）； Rochester Institute of Technology（罗切斯特理工学院）

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

Comments Published at COLING 2025

2503.15548 2025-03-21 cs.CR cs.AI 88%

Privacy-Aware RAG: Secure and Isolated Knowledge Retrieval

Pengcheng Zhou, Yinglun Feng, Zhongliang Yang

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

2406.05870 2025-03-11 cs.CR cs.CL cs.LG 88%

Machine Against the RAG: Jamming Retrieval-Augmented Generation with Blocker Documents

Avital Shafran, Roei Schuster, Vitaly Shmatikov

机构 * The Hebrew University（希伯来大学）； Wild Moose（野驼鹿（Wild Moose））； Cornell Tech（康奈尔科技学院）

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

Comments To appear in USENIX Security Symposium 2025

2410.13509 2025-03-05 cs.CL 88%

RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards

Xinze Li, Sen Mei, Zhenghao Liu, Yukun Yan, Shuo Wang, Shi Yu, Zheni Zeng, Hao Chen, Ge Yu, Zhiyuan Liu, Maosong Sun, Chenyan Xiong

机构 * Northeastern University（东北大学）； Tsinghua University（清华大学）； Carnegie Mellon University（卡内基梅隆大学）

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

2502.18397 2025-02-26 cs.CL 88%

KiRAG: Knowledge-Driven Iterative Retriever for Enhancing Retrieval-Augmented Generation

Jinyuan Fang, Zaiqiao Meng, Craig Macdonald

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

2502.15025 2025-02-24 cs.IR 88%

Is Relevance Propagated from Retriever to Generator in RAG?

Fangzheng Tian, Debasis Ganguly, Craig Macdonald

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

Comments 18 pages (including reference), 5 figures, 1 table, 48 references; this paper has been accepted by ECIR'25 as a full paper

2410.20753 2025-02-05 cs.CL cs.LG 88%

Plan*RAG: Efficient Test-Time Planning for Retrieval Augmented Generation

Prakhar Verma, Sukruta Prakash Midigeshi, Gaurav Sinha, Arno Solin, Nagarajan Natarajan, Amit Sharma

机构 * Aalto University（阿尔托大学）； Microsoft Research（微软研究院）

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

Comments 19 pages, preprint

2501.11759 2025-01-22 cs.IR 88%

Poison-RAG: Adversarial Data Poisoning Attacks on Retrieval-Augmented Generation in Recommender Systems

Fatemeh Nazary, Yashar Deldjoo, Tommaso di Noia

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

2501.10734 2025-01-22 eess.AS cs.AI cs.SD 88%

GEC-RAG: Improving Generative Error Correction via Retrieval-Augmented Generation for Automatic Speech Recognition Systems

Amin Robatian, Mohammad Hajipour, Mohammad Reza Peyghan, Fatemeh Rajabi, Sajjad Amini, Shahrokh Ghaemmaghami, Iman Gholampour

机构 * Sharif University of Technology（谢里夫理工大学）； Amirkabir University of Technology（阿米尔卡比尔理工大学）

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

Comments 6 pages

2501.05249 2025-01-10 cs.CR cs.AI 88%

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models

Peizhuo Lv, Mengjie Sun, Hao Wang, Xiaofeng Wang, Shengzhi Zhang, Yuxuan Chen, Kai Chen, Limin Sun

机构 * Institute of Information Engineering, Chinese Academy of Sciences（中国科学院信息工程研究所）； School of Cyber Science and Technology, Shandong University（山东大学网络空间安全学院）； Indiana University Bloomington（印第安纳大学伯明顿分校）； Department of Computer Science, Metropolitan College, Boston University（波士顿大学大都会学院计算机科学系）； Institute for Clarity in Documentation（文档清晰研究所）； Inria Paris-Rocquencourt（法国国家信息与自动化研究所巴黎-罗康分所）； Rajiv Gandhi University（拉吉夫·甘地大学）； Tsinghua University（清华大学）； Palmer Research Laboratories（帕尔默研究实验室）

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

2412.01572 2025-01-03 cs.AI 88%

MBA-RAG: a Bandit Approach for Adaptive Retrieval-Augmented Generation through Question Complexity

Xiaqiang Tang, Qiang Gao, Jian Li, Nan Du, Qi Li, Sihong Xie

机构 * The Hong Kong University of Science and Technology (Guangzhou)（香港科技大学（广州））； Tencent Hunyuan（腾讯混元）； Wuhan University（武汉大学）； Iowa State University（爱荷华州立大学）

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

Comments COLING 2025

2411.06237 2024-12-03 cs.IR cs.LG 88%

Leveraging Retrieval-Augmented Generation for Persian University Knowledge Retrieval

Arshia Hemmat, Kianoosh Vadaei, Mohammad Hassan Heydari, Afsaneh Fatemi

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

Comments 6 pages, 2 figures, 1 table, Submitted to 15th IKT conference

2410.00857 2024-10-02 cs.CL 88%

Quantifying reliance on external information over parametric knowledge during Retrieval Augmented Generation (RAG) using mechanistic analysis

Reshmi Ghosh, Rahul Seetharaman, Hitesh Wadhwa, Somyaa Aggarwal, Samyadeep Basu, Soundararajan Srinivasan, Wenlong Zhao, Shreyas Chaudhari, Ehsan Aghazadeh

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

Comments Accepted to Blackbox NLP @ EMNLP 2024

2409.08597 2024-09-16 cs.SD cs.CL eess.AS 88%

LA-RAG:Enhancing LLM-based ASR Accuracy with Retrieval-Augmented Generation

Shaojun Li, Hengchao Shang, Daimeng Wei, Jiaxin Guo, Zongyao Li, Xianghui He, Min Zhang, Hao Yang

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

Comments submitted to ICASSP 2025

2409.00494 2024-09-06 cs.AI cs.SE 88%

GenAI-powered Multi-Agent Paradigm for Smart Urban Mobility: Opportunities and Challenges for Integrating Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) with Intelligent Transportation Systems

Haowen Xu, Jinghui Yuan, Anye Zhou, Guanhao Xu, Wan Li, Xuegang Ban, Xinyue Ye

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

2408.08066 2024-08-23 cs.IR 88%

Mamba Retriever: Utilizing Mamba for Effective and Efficient Dense Retrieval

Hanqi Zhang, Chong Chen, Lang Mei, Qi Liu, Jiaxin Mao

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

2406.19215 2024-06-28 cs.CL 88%

SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation

Zijun Yao, Weijian Qi, Liangming Pan, Shulin Cao, Linmei Hu, Weichuan Liu, Lei Hou, Juanzi Li

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

1. 检索器与排序 4608 篇

Optimizing Retrieval-Augmented Generation (RAG) for Colloquial Cantonese: A LoRA-Based Systematic Review

REX-RAG: Reasoning Exploration with Policy Correction in Retrieval-Augmented Generation

Validating Pharmacogenomics Generative Artificial Intelligence Query Prompts Using Retrieval-Augmented Generation (RAG)

Towards More Robust Retrieval-Augmented Generation: Evaluating RAG Under Adversarial Poisoning Attacks

Secure Multifaceted-RAG for Enterprise: Hybrid Knowledge Retrieval with Security Filtering

RAG Safety: Exploring Knowledge Poisoning Attacks to Retrieval-Augmented Generation

PR-Attack: Coordinated Prompt-RAG Attacks on Retrieval-Augmented Generation in Large Language Models via Bilevel Optimization

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs

HASH-RAG: Bridging Deep Hashing with Retriever for Efficient, Fine Retrieval and Augmented Generation

RAG-MCP: Mitigating Prompt Bloat in LLM Tool Selection via Retrieval-Augmented Generation

MMKB-RAG: A Multi-Modal Knowledge-Based Retrieval-Augmented Generation Framework

RAG Without the Lag: Interactive Debugging for Retrieval-Augmented Generation Pipelines

QE-RAG: A Robust Retrieval-Augmented Generation Benchmark for Query Entry Errors

Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation Systems

Privacy-Aware RAG: Secure and Isolated Knowledge Retrieval

Machine Against the RAG: Jamming Retrieval-Augmented Generation with Blocker Documents

RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards

KiRAG: Knowledge-Driven Iterative Retriever for Enhancing Retrieval-Augmented Generation

Is Relevance Propagated from Retriever to Generator in RAG?

Plan*RAG: Efficient Test-Time Planning for Retrieval Augmented Generation

Poison-RAG: Adversarial Data Poisoning Attacks on Retrieval-Augmented Generation in Recommender Systems

GEC-RAG: Improving Generative Error Correction via Retrieval-Augmented Generation for Automatic Speech Recognition Systems

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models

MBA-RAG: a Bandit Approach for Adaptive Retrieval-Augmented Generation through Question Complexity

Leveraging Retrieval-Augmented Generation for Persian University Knowledge Retrieval

Quantifying reliance on external information over parametric knowledge during Retrieval Augmented Generation (RAG) using mechanistic analysis

LA-RAG:Enhancing LLM-based ASR Accuracy with Retrieval-Augmented Generation

GenAI-powered Multi-Agent Paradigm for Smart Urban Mobility: Opportunities and Challenges for Integrating Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) with Intelligent Transportation Systems

Mamba Retriever: Utilizing Mamba for Effective and Efficient Dense Retrieval

SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation