RAG / 检索增强生成

PoultryTalk: A Multi-modal Retrieval-Augmented Generation (RAG) System for Intelligent Poultry Management and Decision Support

PoultryTalk: 一种用于智能家禽管理与决策支持的多模态检索增强生成（RAG）系统

Kapalik Khanal, Biswash Khatiwada, Stephen Afrifa, Ranjan Sapkota, Sanjay Shah, Frank Bai, Ramesh Bahadur Bist

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

AI总结 PoultryTalk是一种多模态RAG系统，通过文本和图像交互为家禽管理提供实时专家指导，实现了高准确率和用户满意度。

TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster

TS-RAG：基于时间序列基础模型的检索增强生成模型在零样本预测中更强大

Kanghui Ning, Zijie Pan, Yu Liu, Yushan Jiang, James Yiming Zhang, Kashif Rasul, Anderson Schneider, Lintao Ma, Yuriy Nevmyvaka, Dongjin Song

机构 * School of Computing, University of Connecticut（康奈尔大学计算机学院） ； Department of Machine Learning Research, Morgan Stanley（摩根士丹利机器学习研究部） ； Ant Group（蚂蚁集团） ； TWG Global（TWG全球） 纠错

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

AI总结 TS-RAG通过检索增强生成框架提升时间序列预测的零样本性能和可解释性。

Hybrid Retrieval-Augmented Generation Agent for Trustworthy Legal Question Answering in Judicial Forensics

Yueqing Xi, Yifan Bai, Huasen Luo, Weiliang Wen, Hui Liu, Haoliang Li

机构 * Department of Electronic Engineering, City University of Hong Kong(DongGuan)（香港城市大学（东莞）电子工程系） ； Department of Electronic Engineering, City University of Hong Kong（香港城市大学电子工程系） 纠错

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

BEE-RAG: Balanced Entropy Engineering for Retrieval-Augmented Generation

Yuhao Wang, Ruiyang Ren, Yucheng Wang, Jing Liu, Wayne Xin Zhao, Hua Wu, Haifeng Wang

机构 * Baidu（百度） 纠错

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

PICOs-RAG: PICO-supported Query Rewriting for Retrieval-Augmented Generation in Evidence-Based Medicine

Mengzhou Sun, Sendong Zhao, Jianyu Chen, Bin Qin

机构 * Faculty of Computing（计算学院） ； Harbin Institute of Technology（哈尔滨工业大学） 纠错

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

Unlocking Multi-View Insights in Knowledge-Dense Retrieval-Augmented Generation

Guanhua Chen, Wenhan Yu, Xiao Lu, Xiao Zhang, Erli Meng, Lei Sha

机构 * School of Artificial Intelligence, Beihang University（北航人工智能学院） ； Zhongguancun Laboratory（中关村实验室） 纠错

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

Demo: Guide-RAG: Evidence-Driven Corpus Curation for Retrieval-Augmented Generation in Long COVID

Philip DiGiacomo, Haoyang Wang, Jinrui Fang, Yan Leng, W Michael Brode, Ying Ding

机构 * Department of Computer Science University of Texas at Austin（计算机科学系得克萨斯大学奥斯汀分校） ； School of Information University of Texas at Austin（信息学院得克萨斯大学奥斯汀分校） ； McCombs School of Business University of Texas at Austin（麦库姆斯商学院得克萨斯大学奥斯汀分校） ； Dell Medical School University of Texas at Austin（德克萨斯大学奥斯汀分校戴尔医学学院） 纠错

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

Comments Accepted to 39th Conference on Neural Information Processing Systems (NeurIPS 2025) Workshop: The Second Workshop on GenAI for Health: Potential, Trust, and Policy Compliance

MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree Search

Yunhai Hu, Yilun Zhao, Chen Zhao, Arman Cohan

机构 * Yale University（耶鲁大学） ； New York University（纽约大学） 纠错

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

DecEx-RAG: Boosting Agentic Retrieval-Augmented Generation with Decision and Execution Optimization via Process Supervision

Yongqi Leng, Yikun Lei, Xikai Liu, Meizhi Zhong, Bojian Xiong, Yurong Zhang, Yan Gao, Yi Wu, Yao Hu, Deyi Xiong

机构 * TJUNLP Lab, College of Intelligence and Computing, Tianjin University（天津大学智能计算学院实验室） ； Xiaohongshu Inc.（小红书公司） 纠错

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

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