RAG / 检索增强生成

Enhancing Speech-to-Speech Dialogue Modeling with End-to-End Retrieval-Augmented Generation

Pengchao Feng, Ziyang Ma, Wenxi Chen, Yao Li, Sheng Wang, Kai Yu, Xie Chen

机构 * MoE Key Lab of Artificial Intelligence（人工智能增强实验室） ； Jiangsu Key Lab of Language Computing（江苏语言计算重点实验室） ； X-LANCE Lab（X-LANCE实验室） ； School of Computer Science, Shanghai Jiao Tong University（上海交通大学计算机科学学院） ； Shanghai Innovation Institute（上海创新研究院） ； Shanghai Aviation Electric Co., Ltd（上海航空电器有限公司） 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、cs.AI

Comments Accepted to EMNLP 2025 Findings

Journal ref Findings of the Association for Computational Linguistics: EMNLP 2025, pages 4499-4507

RAGSmith: A Framework for Finding the Optimal Composition of Retrieval-Augmented Generation Methods Across Datasets

Muhammed Yusuf Kartal, Suha Kagan Kose, Korhan Sevinç, Burak Aktas

机构 * TOBB University of Economics and Technology（托布卡大学经济与技术学院） ； Roketsan Inc.（罗克特兰公司） 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、cs.AI

Comments 45 pages

AstuteRAG-FQA: Task-Aware Retrieval-Augmented Generation Framework for Proprietary Data Challenges in Financial Question Answering

Mohammad Zahangir Alam, Khandoker Ashik Uz Zaman, Mahdi H. Miraz

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

Journal ref Print ISSN: 2516-0281, Online ISSN: 2516-029X, pp. 13-31, Vol. 9, No. 5, 25 October 2025

DIRC-RAG: Accelerating Edge RAG with Robust High-Density and High-Loading-Bandwidth Digital In-ReRAM Computation

Kunming Shao, Zhipeng Liao, Jiangnan Yu, Liang Zhao, Qiwei Li, Xijie Huang, Jingyu He, Fengshi Tian, Yi Zou, Xiaomeng Wang, Tim Kwang-Ting Cheng, Chi-Ying Tsui

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

Comments Accepted by 2025 IEEE/ACM ISLPED

Knowing You Don't Know: Learning When to Continue Search in Multi-round RAG through Self-Practicing

Diji Yang, Linda Zeng, Jinmeng Rao, Yi Zhang

机构 * University of California Santa Cruz（加州大学圣克ruz分校） ； The Harker School（哈克尔学校） 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、cs.AI

Comments Proceedings of the 48th International ACM SIGIR 2025

Familiarity-Aware Evidence Compression for Retrieval-Augmented Generation

Dongwon Jung, Qin Liu, Tenghao Huang, Ben Zhou, Muhao Chen

机构 * University of California, Davis（加州大学戴维斯分校） ； University of Southern California（南加州大学） ； Arizona State University（亚利桑那州立大学） 纠错

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

Comments EMNLP 2025 Findings

Distilling a Small Utility-Based Passage Selector to Enhance Retrieval-Augmented Generation

Hengran Zhang, Keping Bi, Jiafeng Guo, Jiaming Zhang, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng

机构 * State Key Laboratory of AI Safety, Institute of Computing Technology, Chinese Academy of Sciences（人工智能安全国家重点实验室，计算技术研究所，中国科学院） ； University of Chinese Academy of Sciences（中国科学院大学） ； Baidu Inc（百度公司） 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、cs.AI

Comments Accepted by SIGIR-AP25

VersionRAG: Version-Aware Retrieval-Augmented Generation for Evolving Documents

Daniel Huwiler, Kurt Stockinger, Jonathan Fürst

机构 * Zurich University of Applied Sciences（苏黎世应用科学大学） 纠错

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

Utility-Focused LLM Annotation for Retrieval and Retrieval-Augmented Generation

Hengran Zhang, Minghao Tang, Keping Bi, Jiafeng Guo, Shihao Liu, Daiting Shi, Dawei Yin, Xueqi Cheng

机构 * State Key Laboratory of AI Safety, Institute of Computing Technology, Chinese Academy of Sciences（中国科学院人工智能安全国家重点实验室，计算技术研究所） ； University of Chinese Academy of Sciences（中国科学院大学） ； Baidu Inc.（百度公司） 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、cs.AI

Comments Accepted by the EMNLP25 main conference

cAST: Enhancing Code Retrieval-Augmented Generation with Structural Chunking via Abstract Syntax Tree

Yilin Zhang, Xinran Zhao, Zora Zhiruo Wang, Chenyang Yang, Jiayi Wei, Tongshuang Wu

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

Enhancing LLM-based Fault Localization with a Functionality-Aware Retrieval-Augmented Generation Framework

Xinyu Shi, Zhenhao Li, An Ran Chen

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

Federated Learning with Ad-hoc Adapter Insertions: The Case of Soft-Embeddings for Training Classifier-as-Retriever

Marijan Fofonjka, Shahryar Zehtabi, Alireza Behtash, Tyler Mauer, David Stout

机构 * webAI 纠错

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

Comments 22 pages, 7 figures, 3 tables

Real-Time RAG for the Identification of Supply Chain Vulnerabilities

Jesse Ponnock, Grace Kenneally, Michael Robert Briggs, Elinor Yeo, Tyrone Patterson, Nicholas Kinberg, Matthew Kalinowski, David Hechtman

机构 * MITRE Corporation（MITRE公司） 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、cs.AI

Comments 14 pages, 5 figures, 1 table. Approved for Public Release; Distribution Unlimited. PRS Release Number: 25-0864

Unleashing the Power of LLMs in Dense Retrieval with Query Likelihood Modeling

Hengran Zhang, Keping Bi, Jiafeng Guo, Xiaojie Sun, Shihao Liu, Daiting Shi, Dawei Yin, Xueqi Cheng

机构 * CAS Key Lab of Network Data Science and Technology, ICT, CAS（中国科学院网络数据科学与技术重点实验室） ； University of Chinese Academy of Sciences（中国科学院大学） ； Baidu Inc（百度公司） 纠错

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

Comments 12 pages, 3 figures

ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation

Reza Yousefi Maragheh, Pratheek Vadla, Priyank Gupta, Kai Zhao, Aysenur Inan, Kehui Yao, Jianpeng Xu, Praveen Kanumala, Jason Cho, Sushant Kumar

机构 * Walmart Global Tech（沃尔玛全球科技） 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.IR、cs.CL、cs.AI

RAGTrace: Understanding and Refining Retrieval-Generation Dynamics in Retrieval-Augmented Generation

Sizhe Cheng, Jiaping Li, Huanchen Wang, Yuxin Ma

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

Comments 19 pages, 9 figures, Accepted by UIST 2025

MetaGen Blended RAG: Unlocking Zero-Shot Precision for Specialized Domain Question-Answering

Kunal Sawarkar, Shivam R. Solanki, Abhilasha Mangal

机构 * IBM 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、cs.AI

Hypercube-Based Retrieval-Augmented Generation for Scientific Question-Answering

Jimeng Shi, Sizhe Zhou, Bowen Jin, Wei Hu, Runchu Tian, Shaowen Wang, Giri Narasimhan, Jiawei Han

机构 * Florida International University（佛罗里达国际大学） ； 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 ：retrieval-augmented generation(title,abstract)；RAG(abstract)；dense retrieval(abstract)

Comments 14 pages, 11 figures

The Geometry of Queries: Query-Based Innovations in Retrieval-Augmented Generation for Healthcare QA

Eric Yang, Jonathan Amar, Jong Ha Lee, Bhawesh Kumar, Yugang Jia

机构 * Verily Life Sciences（Verily 生物科技） 纠错

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

Comments 27 pages

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models

Qikai Wei, Huansheng Ning, Chunlong Han, Jianguo Ding

机构 * School of Computer and Communication Engineering, University of Science and Technology Beijing（计算机与通信工程学院，北京科技大学） ； Blekinge Institute of Technology（布莱金厄学院） 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.IR、cs.CL、cs.AI

RAG-based Architectures for Drug Side Effect Retrieval in LLMs

Shad Nygren, Pinar Avci, Andre Daniels, Reza Rassol, Afshin Beheshti, Diego Galeano

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

SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression

Yiqiao Jin, Kartik Sharma, Vineeth Rakesh, Yingtong Dou, Menghai Pan, Mahashweta Das, Srijan Kumar

机构 * Georgia Institute of Technology（佐治亚理工学院） ； Visa Research（Visa研究） 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、cs.AI

Comments 20 pages

Emotional RAG LLMs: Reading Comprehension for the Open Internet

Benjamin Reichman, Adar Avsian, Kartik Talamadupula, Toshish Jawale, Larry Heck

机构 * AI Virtual Assistant (AVA) Lab, Georgia Institute of Technology（人工智能虚拟助理实验室，佐治亚理工学院） ； Wand AI ； Invoca 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、cs.AI

DoTA-RAG: Dynamic of Thought Aggregation RAG

Saksorn Ruangtanusak, Natthapath Rungseesiripak, Peerawat Rojratchadakorn, Monthol Charattrakool, Natapong Nitarach

机构 * SCBX ； SCB 10X 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、cs.AI

Comments SIGIR LiveRAG 2025 (oral presentation)

ScIRGen: Synthesize Realistic and Large-Scale RAG Dataset for Scientific Research

Junyong Lin, Lu Dai, Ruiqian Han, Yijie Sui, Ruilin Wang, Xingliang Sun, Qinglin Wu, Min Feng, Hao Liu, Hui Xiong

机构 * The Hong Kong University of Science and Technology (Guangzhou)（香港科学与技术大学（广州）） ； Institute of Tibetan Plateau Research, Chinese Academy of Sciences（中国科学院青藏高原研究所） ； Lanzhou University（兰州大学） ； College of Resources and Environment, University of Chinese Academy of Sciences（中国科学院大学资源与环境学院） 纠错

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

Comments KDD 2025 Accepted

Retrieval-Augmented Generation as Noisy In-Context Learning: A Unified Theory and Risk Bounds

Yang Guo, Yutian Tao, Yifei Ming, Robert D. Nowak, Yingyu Liang

机构 * University of Wisconsin-Madison（威斯康星大学麦迪逊分校） ； Salesforce AI Research（Salesforce人工智能研究） ； The 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.CL、cs.AI

Comments Under Review

SAGE: A Framework of Precise Retrieval for RAG

Jintao Zhang, Guoliang Li, Jinyang Su

机构 * Department of Computer Science Tsinghua University（计算机科学系清华大学） 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、cs.DB

ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning Agents

Qiuchen Wang, Ruixue Ding, Zehui Chen, Weiqi Wu, Shihang Wang, Pengjun Xie, Feng Zhao

机构 * MoE Key Laboratory of Brain-inspired Intelligent Perception and Cognition, USTC（脑启发智能感知与认知联合实验室，中国科学技术大学） ； Tongyi Lab, Alibaba Group（通义实验室，阿里巴巴集团） ； Shanghai Jiao Tong University（上海交通大学） 纠错

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

EXIT: Context-Aware Extractive Compression for Enhancing Retrieval-Augmented Generation

Taeho Hwang, Sukmin Cho, Soyeong Jeong, Hoyun Song, SeungYoon Han, Jong C. Park

机构 * School of Computing（计算机学院） ； Graduate School of AI（人工智能研究生院） ； Korea Advanced Institute of Science and Technology（韩国科学技术院） 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、cs.AI

Comments Findings of ACL 2025

DoctorRAG: Medical RAG Fusing Knowledge with Patient Analogy through Textual Gradients

Yuxing Lu, Gecheng Fu, Wei Wu, Xukai Zhao, Sin Yee Goi, Jinzhuo Wang

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

Comments 32 pages, 5 figures, 5 tables