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RAG / 检索增强生成

检索增强生成、向量检索、知识库问答和面向大模型的搜索系统。

2025-11-20 至 2025-11-20 共收录 14 信号源:cs.IR, cs.CL, cs.AI, cs.DB

1. 检索器与排序 7 篇

2511.14769 2025-11-20 cs.IR cs.AI cs.CL cs.LG 85%

Cluster-based Adaptive Retrieval: Dynamic Context Selection for RAG Applications

Yifan Xu, Vipul Gupta, Rohit Aggarwal, Varsha Mahadevan, Bhaskar Krishnamachari

机构 * University of Southern California(美国南加州大学)

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

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2511.15443 2025-11-20 cs.IR cs.CL 81%

CroPS: Improving Dense Retrieval with Cross-Perspective Positive Samples in Short-Video Search

CroPS:通过跨视角正样本提升密集检索(短视频搜索)

Ao Xie, Jiahui Chen, Quanzhi Zhu, Xiaoze Jiang, Zhiheng Qin, Enyun Yu, Han Li

机构 * Kuaishou Technology(快手科技)

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

AI总结 CroPS通过引入多视角正样本提升短视频检索性能,减少查询重述率,已在快手搜索部署。

Comments AAAI-2026, Oral

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2509.19567 2025-11-20 cs.CL eess.AS 79%

Retrieval Augmented Generation based context discovery for ASR

Dimitrios Siskos, Stavros Papadopoulos, Pablo Peso Parada, Jisi Zhang, Karthikeyan Saravanan, Anastasios Drosou

机构 * Information Technologies Institute, Center for Research and Technology Hellas(信息技术研究所,希腊研究中心与技术中心) Samsung Electronics R&D Institute UK (SRUK)(三星电子英国研发研究所(SRUK))

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

Comments Accepted at EMNLP 2025

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2504.18070 2025-11-20 cs.CL cs.AI 73%

PropRAG: Guiding Retrieval with Beam Search over Proposition Paths

Jingjin Wang, Jiawei Han

机构 * Siebel School of Computing and Data Science, University of Illinois Urbana-Champaign(塞比尔计算与数据科学学院,伊利诺伊大学厄巴纳-香槟分校)

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

Comments Accepted to EMNLP 2025 (Main Conference). Camera-ready version. Code and data: https://github.com/ReLink-Inc/PropRAG

Journal ref Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, pages 6224-6239 November 4-9, 2025

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2410.04759 2025-11-20 cs.AI 70%

Driving with Regulation: Trustworthy and Interpretable Decision-Making for Autonomous Driving with Retrieval-Augmented Reasoning

Tianhui Cai, Yifan Liu, Zewei Zhou, Haoxuan Ma, Seth Z. Zhao, Zhiwen Wu, Xu Han, Zhiyu Huang, Jiaqi Ma

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

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2511.15074 2025-11-20 cs.AI cs.CL 62%

Knowledge-Informed Automatic Feature Extraction via Collaborative Large Language Model Agents

Henrik Bradland, Morten Goodwin, Vladimir I. Zadorozhny, Per-Arne Andersen

机构 * School of Computing and Information, University of Pittsburgh, Pittsburgh, USA(计算机与信息学院,匹兹堡大学,美国匹兹堡) Centre for Artificial Intelligence Research, University of Agder, Grimstad, Norway(人工智能研究中心,阿格德大学,挪威格里斯塔德)

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

Comments 19 pages, 4 figures, in review

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2507.05981 2025-11-20 cs.SE 50%

Multi-Agent Debate Strategies to Enhance Requirements Engineering with Large Language Models

Marc Oriol, Quim Motger, Jordi Marco, Xavier Franch

专题命中 检索器与排序 :retrieval augmented generation(abstract)

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2. 知识库问答 2 篇

2511.10900 2025-11-20 cs.CL cs.AI 84%

Expert-Guided Prompting and Retrieval-Augmented Generation for Emergency Medical Service Question Answering

Xueren Ge, Sahil Murtaza, Anthony Cortez, Homa Alemzadeh

专题命中 知识库问答 :retrieval-augmented generation(title,abstract);RAG(abstract);分类 cs.CL、cs.AI

Comments Accepted by AAAI 2026

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2508.16983 2025-11-20 cs.CL cs.AI 73%

ReFactX: Scalable Reasoning with Reliable Facts via Constrained Generation

Riccardo Pozzi, Matteo Palmonari, Andrea Coletta, Luigi Bellomarini, Jens Lehmann, Sahar Vahdati

机构 * University of Milano-Bicocca(米兰-比科卡大学) Banca d'Italia(意大利银行) Institute for Applied Informatics (InfAI)(应用信息研究所) TIB Leibniz Information Centre for Science and Technology(科学与技术信息中心) ScaDS.AI Dresden/Leipzig(ScaDS.AI 德累斯顿/莱比锡分校) Technische Universität Dresden(德累斯顿技术大学) Data Science Institute(数据科学研究所) Leibniz University Hannover(汉诺威莱布尼茨大学) Amazon(亚马逊)

专题命中 知识库问答 :retrieval-augmented generation(abstract);RAG(abstract);分类 cs.CL、cs.AI

Comments 19 pages, 6 figures, accepted at ISWC

Journal ref The Semantic Web - ISWC 2025. ISWC 2025. Lecture Notes in Computer Science, vol 16140. Springer, Cham

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3. 图谱与结构化RAG 3 篇

2511.14765 2025-11-20 cs.IR cs.AI cs.CL 85%

Optimizing Agricultural Research: A RAG-Based Approach to Mycorrhizal Fungi Information

Mohammad Usman Altam, Md Imtiaz Habib, Tuan Hoang

机构 * Data Science and Artificial Intelligence Université Côte d’Azur(数据科学与人工智能 巴黎-萨克雷大学)

专题命中 图谱与结构化RAG :RAG(title,abstract);retrieval-augmented generation(abstract);分类 cs.IR、cs.CL、cs.AI

Comments 10 pages, 4 figures, 1 table

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2511.14010 2025-11-20 cs.CL cs.AI 62%

Knowledge-Grounded Agentic Large Language Models for Multi-Hazard Understanding from Reconnaissance Reports

Chenchen Kuai, Zihao Li, Braden Rosen, Stephanie Paal, Navid Jafari, Jean-Louis Briaud, Yunlong Zhang, Youssef M. A. Hashash, Yang Zhou

机构 * organization= Department One , addressline= Address One , city= City One , postcode= 00000 , state= State One , country= Country One organization= Department Two , addressline= Address Two , city= City Two , postcode= 22222 , state= State Two , country= Country Two organization= Zachry Department of Civil \& Environmental Engineering, Texas A\&M University , addressline= 3136 TAMU , city= College Station , postcode= 77843 , state= TX , country= USA organization= Department of Engineering Technology Industrial Distribution, Texas A\&M University , city= College Station , postcode= 77843 , state= TX , country= USA organization= Department of Civil Environmental Engineering, University of Illinois Urbana-Champaign , city= Urbana , postcode= 61801 , state= IL , country= USA

专题命中 图谱与结构化RAG :RAG(abstract);分类 cs.CL、cs.AI

Comments 17 pages, 5 figures

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2511.15633 2025-11-20 cs.CV cs.LG 50%

Hierarchical Semantic Tree Anchoring for CLIP-Based Class-Incremental Learning

基于CLIP的层次语义树锚定的类增量学习

Tao Hu, Lan Li, Zhen-Hao Xie, Da-Wei Zhou

机构 * School of Artificial Intelligence, Nanjing University(人工智能学院,南京大学) State Key Laboratory for Novel Software Technology, Nanjing University(新型软件技术国家重点实验室,南京大学)

专题命中 图谱与结构化RAG :retriever(abstract)

AI总结 HASTEN通过层次语义树锚定方法,有效解决CLIP类增量学习中的灾难性遗忘问题,提升模型对层次化类别结构的保持能力。

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4. 多模态RAG 2 篇

2511.15435 2025-11-20 cs.CV cs.AI cs.IR 86%

HV-Attack: Hierarchical Visual Attack for Multimodal Retrieval Augmented Generation

HV-Attack:多模态检索增强生成的分层视觉攻击

Linyin Luo, Yujuan Ding, Yunshan Ma, Wenqi Fan, Hanjiang Lai

机构 * The Hong Kong Polytechnic University(香港理工大学) Sun Yat-Sen University(中山大学) Singapore Management University(新加坡管理学院)

专题命中 多模态RAG :retrieval augmented generation(title);retrieval-augmented generation(abstract);RAG(abstract);retriever(abstract)

AI总结 本文提出了一种分层视觉攻击方法,通过在图像输入中添加不可察觉扰动,破坏多模态检索增强生成系统的检索和生成性能。

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2511.15370 2025-11-20 cs.CL cs.AI 62%

The Empowerment of Science of Science by Large Language Models: New Tools and Methods

Guoqiang Liang, Jingqian Gong, Mengxuan Li, Gege Lin, Shuo Zhang

专题命中 多模态RAG :retrieval augmented generation(abstract);分类 cs.CL、cs.AI

Comments The manuscript is currently ongoing the underreview process of the journal of information science

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