RAG / 检索增强生成

Cross-Disciplinary Knowledge Retrieval and Synthesis: A Compound AI Architecture for Scientific Discovery

跨学科知识检索与综合：一种用于科学发现的复合AI架构

Svitlana Volkova, Peter Bautista, Avinash Hiriyanna, Gabriel Ganberg, Isabel Erickson, Zachary Klinefelter, Nick Abele, Hsien-Te Kao, Grant Engberson

机构 * Aptima, Inc.（Aptima公司） 纠错

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

AI总结 BioSage通过整合LLMs与RAG，利用专门代理实现跨学科知识检索与综合，提升科学发现效率。

Rethinking Retrieval: From Traditional Retrieval Augmented Generation to Agentic and Non-Vector Reasoning Systems in the Financial Domain for Large Language Models

重新思考检索：从传统检索增强生成到金融领域大语言模型中的代理和非向量推理系统

Elias Lumer, Matt Melich, Olivia Zino, Elena Kim, Sara Dieter, Pradeep Honaganahalli Basavaraju, Vamse Kumar Subbiah, James A. Burke, Roberto Hernandez

机构 * PricewaterhouseCoopers U.S.（普华永道美国公司） 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

AI总结 本文提出基于向量的代理RAG方法，在金融问答中优于非向量方法，通过交叉编码器重排序和小到大块检索显著提升检索精度和回答质量，但需权衡成本性能。

Comments 8 pages, 2 figures

MuISQA: Multi-Intent Retrieval-Augmented Generation for Scientific Question Answering

MuISQA: 多意图检索增强生成用于科学问答

Zhiyuan Li, Haisheng Yu, Guangchuan Guo, Nan Zhou, Jiajun Zhang

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

AI总结 MuISQA提出一种多意图检索增强生成框架，通过意图感知检索和RRF融合提升科学问答任务的证据覆盖和检索准确性。

Comments 15 pages

WebRec: Enhancing LLM-based Recommendations with Attention-guided RAG from Web

Zihuai Zhao, Yujuan Ding, Wenqi Fan, Qing Li

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

A GPU-Accelerated RAG-Based Telegram Assistant for Supporting Parallel Processing Students

Guy Tel-Zur

机构 * Ben-Gurion University of the Negev（贝内-约尔大学） 纠错

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

Comments 9 pages

RAGPulse: An Open-Source RAG Workload Trace to Optimize RAG Serving Systems

Zhengchao Wang, Yitao Hu, Jianing Ye, Zhuxuan Chang, Jiazheng Yu, Youpeng Deng, Keqiu Li

机构 * Tianjin University, China（天津大学） 纠错

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

Privacy Challenges and Solutions in Retrieval-Augmented Generation-Enhanced LLMs for Healthcare Chatbots: A Review of Applications, Risks, and Future Directions

Shaowei Guan, Hin Chi Kwok, Ngai Fong Law, Gregor Stiglic, Harry Qin, Vivian Hui

机构 * Centre for Smart Health, School of Nursing（智能健康中心、护理学院） ； The Hong Kong Polytechnic University（香港理工大学） ； Department of Electrical and Electronic Engineering（电子与电气工程系） ； Faculty of Health Sciences（健康科学学院） ； University of Maribor（马里博大学） 纠错

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

Comments 23 pages, 2 figures; Corrected typos and 2 references format, added a co-author

RAGFort: Dual-Path Defense Against Proprietary Knowledge Base Extraction in Retrieval-Augmented Generation

Qinfeng Li, Miao Pan, Ke Xiong, Ge Su, Zhiqiang Shen, Yan Liu, Bing Sun, Hao Peng, Xuhong Zhang

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

Comments Accepted by AAAI 2026 Conference

Language Drift in Multilingual Retrieval-Augmented Generation: Characterization and Decoding-Time Mitigation

Bo Li, Zhenghua Xu, Rui Xie

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

Comments AAAI'26, Oral Paper

Modeling Uncertainty Trends for Timely Retrieval in Dynamic RAG

Bo Li, Tian Tian, Zhenghua Xu, Hao Cheng, Shikun Zhang, Wei Ye

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

Comments AAAI'26, Oral Paper

Retrieval-Augmented Generation of Pediatric Speech-Language Pathology vignettes: A Proof-of-Concept Study

Yilan Liu

机构 * University of Redlands, Department of Communication Sciences and Disorders, Truesdail Clinic Center（红lands大学，沟通科学与障碍系，Truesdail诊所中心） 纠错

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

Comments 37 pages, 3 figures

Private-RAG: Answering Multiple Queries with LLMs while Keeping Your Data Private

Ruihan Wu, Erchi Wang, Zhiyuan Zhang, Yu-Xiang Wang

机构 * Computer Science and Engineering University of California, San Diego（计算机科学与工程大学加州大学圣地亚哥分校） ； Halıcıoğlu Data Science Institute University of California, San Diego（Halıcıoğlu数据科学研究所加州大学圣地亚哥分校） ； Department of Computer Science University of California, Los Angeles（计算机科学系加州大学洛杉矶分校） 纠错

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

Q-RAG: Long Context Multi-step Retrieval via Value-based Embedder Training

Artyom Sorokin, Nazar Buzun, Alexander Anokhin, Oleg Inozemcev, Egor Vedernikov, Petr Anokhin, Mikhail Burtsev, Trushkov Alexey, Yin Wenshuai, Evgeny Burnaev

机构 * AXXX ； Applied AI Institute（应用人工智能研究所） ； Research Center of the Artificial Intelligence Institute（人工智能研究所研究部） ； London Institute for Mathematical Sciences（伦敦数学科学研究所） ； Higher School of Economics（高等经济学院） 纠错

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

Comments 16 pages, 3 figures, 2 tables

Secure Retrieval-Augmented Generation against Poisoning Attacks

Zirui Cheng, Jikai Sun, Anjun Gao, Yueyang Quan, Zhuqing Liu, Xiaohua Hu, Minghong Fang

机构 * National University of Singapore（新加坡国立大学） ； University of Louisville（路易斯维尔大学） ； University of North Texas（北卡罗来纳州立大学） ； Drexel University（德雷塞尔大学） 纠错

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

Comments To appear in IEEE BigData 2025

TERAG: Token-Efficient Graph-Based Retrieval-Augmented Generation

Qiao Xiao, Hong Ting Tsang, Jiaxin Bai

机构 * Cornell University（康奈尔大学） ； Hong Kong University of Science and Technology（香港理工大学） 纠错

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

Comments 16 pages, 3 figures, 4 tables. Code available at https://github.com/wocqcm2/TERAG

LinearRAG: Linear Graph Retrieval Augmented Generation on Large-scale Corpora

Luyao Zhuang, Shengyuan Chen, Yilin Xiao, Huachi Zhou, Yujing Zhang, Hao Chen, Qinggang Zhang, Xiao Huang

机构 * The Department of Computing, Hong Kong Polytechnic University, Hong Kong SAR（香港理工大学计算机系） 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

DMA: Online RAG Alignment with Human Feedback

Yu Bai, Yukai Miao, Dawei Wang, Li Chen, Fei Long, Rundi Zhai, Dan Li, Yanyu Ren, Tianfeng Liu, Hongtao Xie, Ce Yang, Xuhui Cai

机构 * Zhongguancun Laboratory（中关村实验室） ； Tsinghua University（清华大学） ； China Mobile Communications Group Co., Ltd.（中国移动通信集团有限公司） ； Beijing University of Posts and Telecommunications（北京邮电大学） 纠错

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

ASVRI-Legal: Fine-Tuning LLMs with Retrieval Augmented Generation for Enhanced Legal Regulation

One Octadion, Bondan Sapta Prakoso, Nanang Yudi Setiawan, Novanto Yudistira

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

Comments 11 pages (including references), 2 figures, 4 tables, published in Atlantis Press (Open Access under CC BY-NC 4.0 license)

Beyond Single Pass, Looping Through Time: KG-IRAG with Iterative Knowledge Retrieval

Ruiyi Yang, Hao Xue, Imran Razzak, Hakim Hacid, Flora D. Salim

机构 * University of New South Wales（新南威尔士大学） ； Mohamed Bin Zayed University of Artificial Intelligence（穆罕默德·本·扎耶德人工智能大学） ； Technology Innovation Institute（技术创新研究所） 纠错

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

Comments 15 pages, 3 figures

Cache Mechanism for Agent RAG Systems

Shuhang Lin, Zhencan Peng, Lingyao Li, Xiao Lin, Xi Zhu, Yongfeng Zhang

机构 * Rutgers University（新泽西州立大学） ； University of South Florida（佛罗里达州立大学） ； University of Illinois 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 ：RAG(title,abstract)；retrieval-augmented generation(abstract)；分类 cs.CL

Evaluating Cultural Knowledge Processing in Large Language Models: A Cognitive Benchmarking Framework Integrating Retrieval-Augmented Generation

Hung-Shin Lee, Chen-Chi Chang, Ching-Yuan Chen, Yun-Hsiang Hsu

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

Comments This paper has been accepted by The Electronic Library, and the full article is now available on Emerald Insight

Retrieval Augmented Generation-Enhanced Distributed LLM Agents for Generalizable Traffic Signal Control with Emergency Vehicles

Xinhang Li, Qing Guo, Junyu Chen, Zheng Guo, Shengzhe Xu, Lei Li, Lin Zhang

机构 * School of Artificial Intelligence, Beijing University of Posts（人工智能学院，北京邮电大学） ； Beijing Big Data Center（北京大数据中心） 纠错

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

ClueAnchor: Clue-Anchored Knowledge Reasoning Exploration and Optimization for Retrieval-Augmented Generation

Hao Chen, Yukun Yan, Sen Mei, Wanxiang Che, Zhenghao Liu, Qi Shi, Xinze Li, Yuchun Fan, Pengcheng Huang, Qiushi Xiong, Zhiyuan Liu, Maosong Sun

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

M-Eval: A Heterogeneity-Based Framework for Multi-evidence Validation in Medical RAG Systems

Mengzhou Sun, Sendong Zhao, Jianyu Chen, Haochun Wang, 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 ：RAG(title,abstract)；retrieval-augmented generation(abstract)；分类 cs.CL

Leveraging Approximate Caching for Faster Retrieval-Augmented Generation

Shai Bergman, Anne-Marie Kermarrec, Diana Petrescu, Rafael Pires, Mathis Randl, Martijn de Vos, Ji Zhang

机构 * Huawei Research（华为研究） 纠错

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

Comments Accepted at Middleware '25

InterpDetect: Interpretable Signals for Detecting Hallucinations in Retrieval-Augmented Generation

Likun Tan, Kuan-Wei Huang, Joy Shi, Kevin Wu

机构 * Pegasi AI, NYC（Pegasi AI，纽约市） 纠错

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

Balancing Fine-tuning and RAG: A Hybrid Strategy for Dynamic LLM Recommendation Updates

Changping Meng, Hongyi Ling, Jianling Wang, Yifan Liu, Shuzhou Zhang, Dapeng Hong, Mingyan Gao, Onkar Dalal, Ed Chi, Lichan Hong, Haokai Lu, Ningren Han

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

Comments RecSys 2025 Industry Track

XGen-Q: An Explainable Domain-Adaptive LLM Framework with Retrieval-Augmented Generation for Software Security

Hamed Jelodar, Mohammad Meymani, Roozbeh Razavi-Far, Ali A. Ghorbani

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

HyperGraphRAG: Retrieval-Augmented Generation via Hypergraph-Structured Knowledge Representation

Haoran Luo, Haihong E, Guanting Chen, Yandan Zheng, Xiaobao Wu, Yikai Guo, Qika Lin, Yu Feng, Zemin Kuang, Meina Song, Yifan Zhu, Luu Anh Tuan

机构 * Beijing University of Posts and Telecommunications（北京邮电大学） ； Nanyang Technological University（南洋理工大学） ； Beijing Institute of Computer Technology and Application（北京计算机技术与应用研究所） ； National University of Singapore（新加坡国立大学） ； China Mobile Research Institute（中国移动研究院） ； Beijing Anzhen Hospital, Capital Medical University（首都医科大学北京安贞医院） 纠错

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

Comments Accepted by NeurIPS 2025 main conference

Journal ref NeurIPS 2025

Can Knowledge-Graph-based Retrieval Augmented Generation Really Retrieve What You Need?

Junchi Yu, Yujie Liu, Jindong Gu, Philip Torr, Dongzhan Zhou

机构 * Department of Engineering Science, University of Oxford, UK（牛津大学工程科学系） ； Shanghai Artificial Intelligence Laboratory, China（上海人工智能实验室） 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.AI

Comments NeurIPS 2025 (Spotlight)