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arXiv 2507.09477cs.CLcs.AI
迈向具备深度推理的智能体 RAG：LLMs 中的 RAG-推理系统综述
Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs
Tsinghua University（清华大学）；University of Illinois Chicago（伊利诺伊大学芝加哥分校）；The University of Tokyo（东京大学）；Peking University（北京大学）；University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校）；University of California, Los Angeles（加利福尼亚大学洛杉矶分校）；HKUST（香港科技大学）
检索增强生成（RAG）通过注入外部知识提升了大型语言模型（LLMs）的事实性，但在需要多步推理的问题上存在不足；相反，纯推理方法常产生幻觉或事实错位。本综述在统一的推理-检索视角下整合了这两条主线。我们首先描绘了高级推理如何优化 RAG 的各个阶段（推理增强的 RAG）。然后，展示了不同类型的检索知识如何为复杂推理提供缺失前提并扩展上下文（RAG 增强的推理）。最后，我们重点关注新兴的协同 RAG-推理框架，其中（智能体）LLMs 迭代地交替搜索与推理，在知识密集型基准上实现了 SOTA 性能。我们对方法、数据集和开放挑战进行了分类，并概述了构建更有效、多模态自适应、可信且以人为中心的深度 RAG-推理系统的研究路径。
英文摘要：
Retrieval-Augmented Generation (RAG) lifts the factuality of Large Language Models (LLMs) by injecting external knowledge, yet it falls short on problems that demand multi-step inference; conversely, purely reasoning-oriented approaches often hallucinate or mis-ground facts. This survey synthesizes both strands under a unified reasoning-retrieval perspective. We first map how advanced reasoning optimizes each stage of RAG (Reasoning-Enhanced RAG). Then, we show how retrieved knowledge of different type supply missing premises and expand context for complex inference (RAG-Enhanced Reasoning). Finally, we spotlight emerging Synergized RAG-Reasoning frameworks, where (agentic) LLMs iteratively interleave search and reasoning to achieve state-of-the-art performance across knowledge-intensive benchmarks. We categorize methods, datasets, and open challenges, and outline research avenues toward deeper RAG-Reasoning systems that are more effective, multimodally-adaptive, trustworthy, and human-centric. The collection is available at https://github.com/DavidZWZ/Awesome-RAG-Reasoning.
From RAG to Agentic RAG for Faithful Islamic Question Answering
Qatar Computing Research Institute, HBKU, Qatar（卡塔尔计算研究中心，HBKU，卡塔尔）；College of Humanities and Social Sciences, HBKU, Qatar（人文与社会科学学院，HBKU，卡塔尔）；Arab Center for Research and Policy Studies, Qatar（阿拉伯研究中心与政策研究所，卡塔尔）；College of Islamic Studies, HBKU, Qatar（伊斯兰研究学院，HBKU，卡塔尔）；College of Public Policy, HBKU, Qatar（公共政策学院，HBKU，卡塔尔）
Mitigating Hallucination in Large Language Models: A Capability-Oriented Survey on RAG, Reasoning, and Agentic Systems
Electronic Information School, Wuhan University（武汉大学电子信息学院）；School of Computing, Dublin City University（都柏林城市大学计算机学院）；School of Public Health, Wuhan University（武汉大学公共卫生学院）；Insight Centre for Data Analytics, University of Galway（Galway大学数据分析研究中心）；Insight Centre for Data Analytics, Dublin City University（都柏林城市大学数据分析研究中心）
RAG-Star: Enhancing Deliberative Reasoning with Retrieval Augmented Verification and Refinement
Gaoling School of Artificial Intelligence, Renmin University of China（中国人民大学高瓴人工智能学院）；Wuhan University of Science and Technology（武汉科技大学）；National University of Singapore（新加坡国立大学）；Northeastern University at Qinhuangdao（东北大学秦皇岛分校）；BOSS Zhipin（BOSS直聘）
CARE-RAG - Clinical Assessment and Reasoning in RAG
Department of Computer Science（计算机科学系）；University of Texas at Austin（德克萨斯大学奥斯汀分校）；Behavioral Science and Psychiatry（行为科学与精神病学）；Department of Statistics（统计学系）；University of Michigan（密歇根大学）；School of Information（信息学院）
Knowledge-Grounded Agentic Large Language Models for Multi-Hazard Understanding from Reconnaissance Reports
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
Confident RAG: Enhancing the Performance of LLMs for Mathematics Question Answering through Multi-Embedding and Confidence Scoring
Faculty of Education, The University of Hong Kong（香港大学教育学院）；Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology（香港科学与技术大学土木与环境工程系）
End-to-End Agentic RAG System Training for Traceable Diagnostic Reasoning
Shanghai Jiao Tong University（上海交通大学）；Shanghai AI Laboratory（上海人工智能实验室）；Xinhua Hospital affiliated to Shanghai Jiao Tong University School of Medicine（上海交通大学医学院附属新华医院）；Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine（上海交通大学医学院附属第九人民医院）；Shanghai Jiao Tong University School of Medicine（上海交通大学医学院）
CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models
School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China（华中科技大学计算机科学与技术学院）；Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China（华中科技大学光电实验室）；Department of Computer Science, Bowling Green State University, Ohio, USA（Bowling Green State University 计算机科学系）；Department of Computer Science, Aalborg University, Aalborg, Denmark（Aalborg University 计算机科学系）；Huawei Technologies Co., Ltd, Shenzhen, China（华为技术有限公司）
Eliciting Critical Reasoning in Retrieval-Augmented Language Models via Contrastive Explanations
Idiap Research Institute（Idiap研究机构）；Department of Computer Science, University of Manchester（曼彻斯特大学计算机科学系）；National Biomarker Centre (NBC), CRUK Manchester Institute（国家生物标志物中心（NBC），CRUK曼彻斯特研究所）
AgenticMath: Enhancing LLM Reasoning via Agentic-based Math Data Generation
King’s College London（伦敦国王学院）；Hong Kong Baptist University（香港 Baptist 大学）；The Hong Kong University of Science and Technology (Guangzhou)（香港科学与技术大学（广州））；ByteDance Seed（字节跳动种子）；City University of Hong Kong（香港城市大学）；Xi’an Jiaotong University（西安交通大学）
Rethinking Retrieval: From Traditional Retrieval Augmented Generation to Agentic and Non-Vector Reasoning Systems in the Financial Domain for Large Language Models
RAGAR, Your Falsehood Radar: RAG-Augmented Reasoning for Political Fact-Checking using Multimodal Large Language Models
Institute for Natural Language Processing, University of Stuttgart（斯图加特大学自然语言处理研究所）；appliedAI Institute for Europe gGmbH（欧洲appliedAI研究所（非营利有限责任公司））；appliedAI Initiative GmbH（appliedAI倡议有限责任公司）
Open-RAG: Enhanced Retrieval-Augmented Reasoning with Open-Source Large Language Models
Bangladesh University of Engineering and Technology（孟加拉工程技术大学）；Cohere For AI（Cohere AI研究团队）；University of North Texas（北得克萨斯大学）；York University（约克大学）；Salesforce Research（Salesforce研究院）；Qatar Computing Research Institute (QCRI)（卡塔尔计算研究所）
Mathematical Reasoning for Unmanned Aerial Vehicles: A RAG-Based Approach for Complex Arithmetic Reasoning
Department of Computer Science（计算机科学系）；Institute For Artificial Intelligence（人工智能研究所）；Hamm-Lippstadt University of Applied Sciences（哈姆-利普施塔特应用科学大学）；University of Stuttgart（斯图加特大学）
Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG
Cleveland State University（克利夫兰州立大学）；Kent State University（肯特州立大学）；Northeastern University（东北大学）；Roux Institute at Northeastern University（东北大学鲁克斯研究所）；University of Agder (UiA)（阿格德尔大学）
Agentic AI with Orchestrator-Agent Trust: A Modular Visual Classification Framework with Trust-Aware Orchestration and RAG-Based Reasoning
University of the Peloponnese, Department of Informatics and Telecommunications（希腊皮埃蒙特大学信息与电信系）；Cornell University, Department of Biological and Environmental Engineering（康奈尔大学生物与环境工程系）
