RAG / 检索增强生成

LaB-RAG: Label Boosted Retrieval Augmented Generation for Radiology Report Generation

Steven Song, Anirudh Subramanyam, Irene Madejski, Robert L. Grossman

机构 * Department of Computer Science（计算机科学系） ； Center for Translational Data Science（转化数据科学中心） ； Medical Scientist Training Program（医学科学家培训计划） ； Section of Biomedical Data Science, Department of Medicine（医学部生物医学数据科学部门） 纠错

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

AutoBnB-RAG: Enhancing Multi-Agent Incident Response with Retrieval-Augmented Generation

Zefang Liu, Arman Anwar

机构 * Georgia Institute of Technology（佐治亚理工学院） 纠错

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

ID-RAG: Identity Retrieval-Augmented Generation for Long-Horizon Persona Coherence in Generative Agents

Daniel Platnick, Mohamed E. Bengueddache, Marjan Alirezaie, Dava J. Newman, Alex ''Sandy'' Pentland, Hossein Rahnama

机构 * Flybits Labs, Creative Ai Hub（Flybits实验室，创意人工智能中心） ； Toronto Metropolitan University（多伦多 Metropolitan 大学） ； Massachusetts Institute of Technology（麻省理工学院） ； Stanford University（斯坦福大学） 纠错

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

Comments Accepted to LLAIS 2025: Workshop on LLM-Based Agents for Intelligent Systems, at ECAI 2025, 12 pages, 3 figures

Your RAG is Unfair: Exposing Fairness Vulnerabilities in Retrieval-Augmented Generation via Backdoor Attacks

Gaurav Bagwe, Saket S. Chaturvedi, Xiaolong Ma, Xiaoyong Yuan, Kuang-Ching Wang, Lan Zhang

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

Comments Accepted by EMNLP 2025

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation

Runpeng Geng, Yanting Wang, Ying Chen, Jinyuan Jia

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

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

Comments 21 pages, 4 figures

RAG-Boost: Retrieval-Augmented Generation Enhanced LLM-based Speech Recognition

Pengcheng Wang, Sheng Li, Takahiro Shinozaki

机构 * School of Engineering（工程学院） 纠错

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

Comments accepted at Interspeech2025 MLC-SLM Challenge workshop (task I system description)

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

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

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

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

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） 纠错

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

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） 纠错

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

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） 纠错

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

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） 纠错

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

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

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） 纠错

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

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） 纠错

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

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） 纠错

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

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

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

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

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

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

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

Avital Shafran, Roei Schuster, Vitaly Shmatikov

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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