RAG / 检索增强生成

InfoDeepSeek: Benchmarking Agentic Information Seeking for Retrieval-Augmented Generation

Yunjia Xi, Jianghao Lin, Menghui Zhu, Yongzhao Xiao, Zhuoying Ou, Jiaqi Liu, Tong Wan, Bo Chen, Weiwen Liu, Yasheng Wang, Ruiming Tang, Weinan Zhang, Yong Yu

机构 * Shanghai Jiao Tong University（上海交通大学） ； Huawei Noah’s Ark Lab（华为诺亚实验室） 纠错

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

Single LLM, Multiple Roles: A Unified Retrieval-Augmented Generation Framework Using Role-Specific Token Optimization

Yutao Zhu, Jiajie Jin, Hongjin Qian, Zheng Liu, Zhicheng Dou, Ji-Rong Wen

机构 * Gaoling School of Artificial Intelligence, Renmin University of China（中国人民大学耿丽人工智能学院） ； Beijing Academy of Artificial Intelligence, China（北京人工智能研究院） 纠错

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

Prompt Perturbation in Retrieval-Augmented Generation based Large Language Models

Zhibo Hu, Chen Wang, Yanfeng Shu, Helen, Paik, Liming Zhu

机构 * The University of New South Wales（新南威尔士大学） ； CSIRO Data61（澳大利亚联邦科学与工业研究组织数据61） 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 12 pages, 9 figures

Journal ref KDD '24: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining Barcelona Spain August 25 - 29, 2024

EcoSafeRAG: Efficient Security through Context Analysis in Retrieval-Augmented Generation

Ruobing Yao, Yifei Zhang, Shuang Song, Neng Gao, Chenyang Tu

机构 * Institute of Information Engineering, Chinese Academy of Sciences（信息工程研究所，中国科学院） ； School of Cybersecurity, University of Chinese Academy of Sciences（网络安全学院，中国科学院大学） ； State Key Laboratory of Cyberspace Security Defense（网络空间安全防御国家重点实验室） 纠错

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

ReaRAG: Knowledge-guided Reasoning Enhances Factuality of Large Reasoning Models with Iterative Retrieval Augmented Generation

Zhicheng Lee, Shulin Cao, Jinxin Liu, Jiajie Zhang, Weichuan Liu, Xiaoyin Che, Lei Hou, Juanzi Li

机构 * Tsinghua University（清华大学） ； Siemens AG（西门子公司） 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、cs.AI

Know3-RAG: A Knowledge-aware RAG Framework with Adaptive Retrieval, Generation, and Filtering

Xukai Liu, Ye Liu, Shiwen Wu, Yanghai Zhang, Yihao Yuan, Kai Zhang, Qi Liu

机构 * School of Computer Science and Technology, University of Science and Technology of China（计算机科学与技术学院，中国科学技术大学） ； State Key Laboratory of Cognitive Intelligence, Hefei, Anhui, China（认知智能国家重点实验室，安徽合肥，中国） ； The Hong Kong University of Science and Technology（香港科学与技术大学） 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

Enhancing Low-Resource Minority Language Translation with LLMs and Retrieval-Augmented Generation for Cultural Nuances

Chen-Chi Chang, Chong-Fu Li, Chu-Hsuan Lee, Hung-Shin Lee

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

Comments Accepted to IntelliSys 2025

SAKR: Enhancing Retrieval-Augmented Generation via Streaming Algorithm and K-Means Clustering

Haoyu Kang, Yuzhou Zhu, Yukun Zhong, Ke Wang

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

A Retrieval-Augmented Generation Framework for Academic Literature Navigation in Data Science

Ahmet Yasin Aytar, Kemal Kilic, Kamer Kaya

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

Optimizing Retrieval-Augmented Generation: Analysis of Hyperparameter Impact on Performance and Efficiency

Adel Ammar, Anis Koubaa, Omer Nacar, Wadii Boulila

机构 * Prince Sultan University（普森大学） ； Alfaisal University（阿尔法赛尔大学） 纠错

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

Investigating the performance of Retrieval-Augmented Generation and fine-tuning for the development of AI-driven knowledge-based systems

Robert Lakatos, Peter Pollner, Andras Hajdu, Tamas Joo

机构 * Department of Data Science and Visualization, Faculty of Informatics, University of Debrecen（数据科学与可视化系，信息学院，德布勒恩大学） ； Doctoral School of Informatics, University of Debrecen（信息学博士学校，德布勒恩大学） ； Neumann Technology Platform, Neumann Nonprofit Ltd.（内梅尔技术平台，内梅尔非营利有限公司） ； Data-Driven Health Division of National Laboratory for Health Security, Health Services Management Training Centre, Semmelweis University（国家安全国家实验室数据驱动健康部，卫生服务管理培训中心，塞梅尔维斯大学） 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

Journal ref Mach. Learn. Knowl. Extr. 2025, 7, 15

HiPerRAG: High-Performance Retrieval Augmented Generation for Scientific Insights

Ozan Gokdemir, Carlo Siebenschuh, Alexander Brace, Azton Wells, Brian Hsu, Kyle Hippe, Priyanka V. Setty, Aswathy Ajith, J. Gregory Pauloski, Varuni Sastry, Sam Foreman, Huihuo Zheng, Heng Ma, Bharat Kale, Nicholas Chia, Thomas Gibbs, Michael E. Papka, Thomas Brettin, Francis J. Alexander, Anima Anandkumar, Ian Foster, Rick Stevens, Venkatram Vishwanath, Arvind Ramanathan

机构 * Argonne National Laboratory（阿贡国家实验室） ； The University of Chicago（芝加哥大学） ； NVIDIA Inc.（NVIDIA公司） ； University of Illinois Chicago（伊利诺伊大学芝加哥分校） ； California Institute of Technology（加州理工学院） 纠错

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

Comments This paper has been accepted at the Platform for Advanced Scientific Computing Conference (PASC 25), June 16-18, 2025, Brugg-Windisch, Switzerland

Lightweight Clinical Decision Support System using QLoRA-Fine-Tuned LLMs and Retrieval-Augmented Generation

Mohammad Shoaib Ansari, Mohd Sohail Ali Khan, Shubham Revankar, Aditya Varma, Anil S. Mokhade

机构 * Department of Computer Science and Engineering, Visvesvaraya National Institute of Technology (VNIT), Nagpur（计算机科学与工程系，维什瓦西瓦里亚国家理工学院（VNIT），那格浦尔） 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

Comments 12 pages

Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement

Yuqiao Tan, Shizhu He, Huanxuan Liao, Jun Zhao, Kang Liu

机构 * The Key Laboratory of Cognition and Decision Intelligence for Complex Systems, Institute of Automation, Chinese Academy of Sciences（认知与决策智能复杂系统重点实验室，自动化研究所，中国科学院） ； School of Artificial Intelligence, University of Chinese Academy of Sciences（人工智能学院，中国科学院大学） 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

Comments preprint. Code is available at https://github.com/Trae1ounG/DyPRAG

CBM-RAG: Demonstrating Enhanced Interpretability in Radiology Report Generation with Multi-Agent RAG and Concept Bottleneck Models

Hasan Md Tusfiqur Alam, Devansh Srivastav, Abdulrahman Mohamed Selim, Md Abdul Kadir, Md Moktadirul Hoque Shuvo, Daniel Sonntag

机构 * German Research Center for Artificial Intelligence (DFKI)（德国人工智能研究中心） ； Saarland University（萨尔兰大学） ； University of Oldenburg（奥尔登堡大学） ； Dhaka Medical College Hospital（达卡医学院医院） 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 Accepted in the 17th ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS 2025)

LightRAG: Simple and Fast Retrieval-Augmented Generation

Zirui Guo, Lianghao Xia, Yanhua Yu, Tu Ao, Chao Huang

机构 * Beijing University of Posts and Telecommunications（北京邮电大学） ； University of Hong Kong（香港大学） 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

TutorLLM: Customizing Learning Recommendations with Knowledge Tracing and Retrieval-Augmented Generation

Zhaoxing Li, Vahid Yazdanpanah, Jindi Wang, Wen Gu, Lei Shi, Alexandra I. Cristea, Sarah Kiden, Sebastian Stein

机构 * University of Southampton（索姆塞特大学） ； Durham University（杜 ham 大学） ； Japan Advanced Institute of Science and Technology（日本先进科学和技术研究院） ； Newcastle University（新卡斯尔大学） 纠错

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

LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval

Muhammad Rafsan Kabir, Rafeed Mohammad Sultan, Fuad Rahman, Mohammad Ruhul Amin, Sifat Momen, Nabeel Mohammed, Shafin Rahman

机构 * Apurba-NSU R&D Lab, Department of Electrical and Computer Engineering, North South University, Dhaka, Bangladesh（北南大学电气与计算机工程系，北南大学阿普尔巴-NSU研发实验室，达卡，孟加拉国） ； Apurba Technologies, Sunnyvale, CA 94085, USA（阿普尔巴技术公司，硅谷，加利福尼亚州，美国） ； Fordham University, New York, USA（福丁大学，纽约，美国） 纠错

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

Comments Accepted at IJCNN 2025

OnRL-RAG: Real-Time Personalized Mental Health Dialogue System

Ahsan Bilal, Beiyu Lin

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

Comments It needs more revisions. I am currently working on it with my co-author

InstructRAG: Leveraging Retrieval-Augmented Generation on Instruction Graphs for LLM-Based Task Planning

Zheng Wang, Shu Xian Teo, Jun Jie Chew, Wei Shi

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

Comments This paper has been accepted by SIGIR 2025

Efficient Distributed Retrieval-Augmented Generation for Enhancing Language Model Performance

Shangyu Liu, Zhenzhe Zheng, Xiaoyao Huang, Fan Wu, Guihai Chen, Jie Wu

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

Towards Automated Safety Requirements Derivation Using Agent-based RAG

Balahari Vignesh Balu, Florian Geissler, Francesco Carella, Joao-Vitor Zacchi, Josef Jiru, Nuria Mata, Reinhard Stolle

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

Comments 9 pages, 3 figures

Journal ref Proceedings of the AAAI-make Spring Symposium, 2025

Relevance Isn't All You Need: Scaling RAG Systems With Inference-Time Compute Via Multi-Criteria Reranking

Will LeVine, Bijan Varjavand

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

Contradiction Detection in RAG Systems: Evaluating LLMs as Context Validators for Improved Information Consistency

Vignesh Gokul, Srikanth Tenneti, Alwarappan Nakkiran

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

LLM-Match: An Open-Sourced Patient Matching Model Based on Large Language Models and Retrieval-Augmented Generation

Xiaodi Li, Shaika Chowdhury, Chung Il Wi, Maria Vassilaki, Xiaoke Liu, Terence T Sio, Owen Garrick, Young J Juhn, James R Cerhan, Cui Tao, Nansu Zong

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

Comments 10 pages, 1 figure

Simple Is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation

Mufei Li, Siqi Miao, Pan Li

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 ICLR 2025; Code available at https://github.com/Graph-COM/SubgraphRAG

NANOGPT: A Query-Driven Large Language Model Retrieval-Augmented Generation System for Nanotechnology Research

Achuth Chandrasekhar, Omid Barati Farimani, Olabode T. Ajenifujah, Janghoon Ock, Amir Barati Farimani

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

Comments 61 pages, 3 figures

Say Less, Mean More: Leveraging Pragmatics in Retrieval-Augmented Generation

Haris Riaz, Ellen Riloff, Mihai Surdeanu

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

Comments 16 pages, 2 figures, 8 tables. Preprint

SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model

Xun Liang, Simin Niu, Zhiyu Li, Sensen Zhang, Hanyu Wang, Feiyu Xiong, Jason Zhaoxin Fan, Bo Tang, Shichao Song, Mengwei Wang, Jiawei Yang

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

FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research

Jiajie Jin, Yutao Zhu, Guanting Dong, Yuyao Zhang, Xinyu Yang, Chenghao Zhang, Tong Zhao, Zhao Yang, Zhicheng Dou, Ji-Rong Wen

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

Comments The paper is accepted by WWW2025 Resource Track