RAG / 检索增强生成 - arXivDaily 专题

2510.10787 2025-10-14 cs.CL 79%

Review of Inference-Time Scaling Strategies: Reasoning, Search and RAG

Zhichao Wang, Cheng Wan, Dong Nie

机构 * Inflection AI ； Georgia Institute of Technology（佐治亚理工学院）； ChatAlpha AI

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

2508.13735 2025-10-14 cs.CL 79%

EEG-MedRAG: Enhancing EEG-based Clinical Decision-Making via Hierarchical Hypergraph Retrieval-Augmented Generation

Yi Wang, Haoran Luo, Lu Meng, Ziyu Jia, Xinliang Zhou, Qingsong Wen

机构 * College of Information Science and Engineering, Northeastern University（信息科学与工程学院，东北大学）； Foshan Graduate School of Innovation, Northeastern University（创新佛山研究生院，东北大学）； College of Computing and Data Science, Nanyang Technological University（计算与数据科学学院，南洋理工大学）； Institute of Automation, Chinese Academy of Sciences（自动化研究所，中国科学院）； Squirrel Ai Learning

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

2502.12974 2025-10-07 cs.IR 79%

Learning Refined Document Representations for Dense Retrieval via Deliberate Thinking

Yifan Ji, Zhipeng Xu, Zhenghao Liu, Yukun Yan, Shi Yu, Yishan Li, Zhiyuan Liu, Yu Gu, Ge Yu, Maosong Sun

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

2509.17486 2025-09-23 cs.CL 79%

AttnComp: Attention-Guided Adaptive Context Compression for Retrieval-Augmented Generation

Lvzhou Luo, Yixuan Cao, Ping Luo

机构 * Key Lab of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences (CAS)（智能信息处理重点实验室，计算技术研究所，中国科学院）； State Key Lab of AI Safety（人工智能安全国家重点实验室）； University of Chinese Academy of Sciences, CAS（中国科学院大学）

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

Comments Accepted at EMNLP 2025 (Findings)

2509.06444 2025-09-09 cs.AI 79%

HyFedRAG: A Federated Retrieval-Augmented Generation Framework for Heterogeneous and Privacy-Sensitive Data

Cheng Qian, Hainan Zhang, Yongxin Tong, Hong-Wei Zheng, Zhiming Zheng

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

Comments 9 pages, 7 figures

2509.01030 2025-09-04 cs.IR 79%

Identifying Origins of Place Names via Retrieval Augmented Generation

Alexis Horde-Vo, Matt Duckham, Estrid He, Rafe Benli

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

2509.01341 2025-09-03 cs.CV cs.AI 79%

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation

Yunus Serhat Bicakci, Joseph Shingleton, Anahid Basiri

机构 * Vocational School of Social Sciences, Marmara University（马尔马拉大学社会科学职业学校）； Geospatial Data Science Group, School of Geographical & Earth Sciences, University of Glasgow（格拉斯哥大学地理与地球科学学院空间数据科学小组）

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

2508.20867 2025-08-29 cs.CL 79%

MSRS: Evaluating Multi-Source Retrieval-Augmented Generation

Rohan Phanse, Yijie Zhou, Kejian Shi, Wencai Zhang, Yixin Liu, Yilun Zhao, Arman Cohan

机构 * Yale University（耶鲁大学）

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

Comments COLM 2025; this article supersedes the preprint: arXiv:2309.08960

2508.14323 2025-08-26 cs.CL 79%

Beyond Semantic Similarity: Reducing Unnecessary API Calls via Behavior-Aligned Retriever

Yixin Chen, Ying Xiong, Shangyu Wu, Yufei Cui, Xue Liu, Nan Guan, Chun Jason Xue

机构 * City University of Hong Kong（香港城市大学）； Mohamed Bin Zayed University of Artificial Intelligence（马尔代夫穆罕默德·本·扎耶德人工智能大学）； McGill University（麦吉尔大学）

专题命中检索器与排序：retriever(title,abstract)；分类 cs.CL

2402.13532 2025-08-26 cs.CL 79%

Backdoor Attacks on Dense Retrieval via Public and Unintentional Triggers

Quanyu Long, Yue Deng, LeiLei Gan, Wenya Wang, Sinno Jialin Pan

机构 * Nanyang Technological University, Singapore（南洋理工大学）； Zhejiang University（浙江大学）； The Chinese University of Hong Kong（香港中文大学）

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

Comments Accepted by COLM 2025

2508.08816 2025-08-13 cs.AI 79%

Efficient Agent: Optimizing Planning Capability for Multimodal Retrieval Augmented Generation

Yuechen Wang, Yuming Qiao, Dan Meng, Jun Yang, Haonan Lu, Zhenyu Yang, Xudong Zhang

机构 * OPPO Research Institute（OPPO研究院）； OPPO AI Center（OPPO人工智能中心）

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

2508.00965 2025-08-05 cs.LG cs.AI 79%

VAULT: Vigilant Adversarial Updates via LLM-Driven Retrieval-Augmented Generation for NLI

Roie Kazoom, Ofir Cohen, Rami Puzis, Asaf Shabtai, Ofer Hadar

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

2507.12840 2025-07-18 cs.IR cs.LG cs.SI 79%

Bridging the Gap: Leveraging Retrieval-Augmented Generation to Better Understand Public Concerns about Vaccines

Muhammad Javed, Sedigh Khademi Habibabadi, Christopher Palmer, Hazel Clothier, Jim Buttery, Gerardo Luis Dimaguila

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

2504.01450 2025-07-15 cs.LG cs.CL 79%

CASCADE Your Datasets for Cross-Mode Knowledge Retrieval of Language Models

Runlong Zhou, Yi Zhang

机构 * University of Washington（华盛顿大学）； Microsoft Research（微软研究院）

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

Comments COLM 2025

2506.08938 2025-07-09 cs.CL 79%

FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented Generation

Qinggang Zhang, Zhishang Xiang, Yilin Xiao, Le Wang, Junhui Li, Xinrun Wang, Jinsong Su

机构 * School of Informatics, Xiamen University（厦门大学信息学院）； Institute of Artificial Intelligence, Xiamen University（厦门大学人工智能研究院）； The Hong Kong Polytechnic University（香港理工大学）； Migu Meland Co., Ltd（Migu Meland公司）； Soochow University（苏州大学）； Singapore Management University（新加坡管理大学）； Shanghai Artificial Intelligence Laboratory（上海人工智能实验室）

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

Comments Accepted to ACL 2025

2506.21934 2025-06-30 cs.IR cs.CV 79%

CAL-RAG: Retrieval-Augmented Multi-Agent Generation for Content-Aware Layout Design

Najmeh Forouzandehmehr, Reza Yousefi Maragheh, Sriram Kollipara, Kai Zhao, Topojoy Biswas, Evren Korpeoglu, Kannan Achan

机构 * Walmart Global Tech（沃尔玛全球技术）

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

2506.18670 2025-06-24 cs.IR 79%

Harnessing the Power of Reinforcement Learning for Language-Model-Based Information Retriever via Query-Document Co-Augmentation

Jingming Liu, Yumeng Li, Wei Shi, Yao-Xiang Ding, Hui Su, Kun Zhou

专题命中检索器与排序：retriever(title,abstract)；分类 cs.IR

2503.14887 2025-06-09 cs.IR cs.LG 79%

Pseudo Relevance Feedback is Enough to Close the Gap Between Small and Large Dense Retrieval Models

Hang Li, Xiao Wang, Bevan Koopman, Guido Zuccon

机构 * The University of Queensland（昆士兰大学）； University of International Business and Economics（国际商务经济大学）； CSIRO（澳大利亚联邦科学与工业研究组织）

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

2505.24279 2025-06-02 cs.IR 79%

On the Scaling of Robustness and Effectiveness in Dense Retrieval

Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng

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

2502.15572 2025-05-30 cs.CL 79%

DReSD: Dense Retrieval for Speculative Decoding

Milan Gritta, Huiyin Xue, Gerasimos Lampouras

机构 * Huawei Noah’s Ark Lab（华为诺亚实验室）； University of Sheffield（谢菲尔德大学）

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

Comments ACL (Findings) 2025

2505.16409 2025-05-23 cs.AI 79%

FREESON: Retriever-Free Retrieval-Augmented Reasoning via Corpus-Traversing MCTS

Chaeeun Kim, Seungone Kim

机构 * Carnegie Mellon University（卡内基梅隆大学）

专题命中检索器与排序：retriever(title,abstract)；分类 cs.AI

Comments Work In Progress

2505.10413 2025-05-16 cs.CL 79%

Hierarchical Document Refinement for Long-context Retrieval-augmented Generation

Jiajie Jin, Xiaoxi Li, Guanting Dong, Yuyao Zhang, Yutao Zhu, Yongkang Wu, Zhonghua Li, Qi Ye, Zhicheng Dou

机构 * Gaoling School of Artificial Intelligence, Renmin University of China（中国人民大学首都人工智能学院）； Huawei Poisson Lab（华为Poisson实验室）

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

2505.08690 2025-05-14 cs.CL 79%

Adaptive Schema-aware Event Extraction with Retrieval-Augmented Generation

Sheng Liang, Hang Lv, Zhihao Wen, Yaxiong Wu, Yongyue Zhang, Hao Wang, Yong Liu

机构 * Huawei Noah’s Ark Lab（华为诺亚实验室）； University of Science and Technology of China（中国科学技术大学）

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

Comments 15 pages, 3 figures

2408.10613 2025-05-14 cs.IR 79%

Task-level Distributionally Robust Optimization for Large Language Model-based Dense Retrieval

Guangyuan Ma, Yongliang Ma, Xing Wu, Zhenpeng Su, Ming Zhou, Songlin Hu

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

Comments Accepted by AAAI25. Source code is available at https://github.com/ma787639046/tdro

2505.04175 2025-05-08 cs.CV cs.AI 79%

DOTA: Deformable Optimized Transformer Architecture for End-to-End Text Recognition with Retrieval-Augmented Generation

Naphat Nithisopa, Teerapong Panboonyuen

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

2408.14523 2025-04-29 cs.LG cs.AI 79%

Retrieval Augmented Generation for Dynamic Graph Modeling

Yuxia Wu, Lizi Liao, Yuan Fang

机构 * Singapore Management University（新加坡管理大学）

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

Comments Accepted by SIGIR 2025

2411.17073 2025-04-23 cs.CV cs.AI 79%

Path-RAG: Knowledge-Guided Key Region Retrieval for Open-ended Pathology Visual Question Answering

Awais Naeem, Tianhao Li, Huang-Ru Liao, Jiawei Xu, Aby M. Mathew, Zehao Zhu, Zhen Tan, Ajay Kumar Jaiswal, Raffi A. Salibian, Ziniu Hu, Tianlong Chen, Ying Ding

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

Journal ref Proceedings of Machine Learning Research, Volume 259, 2025, pp. 735--746

2411.07563 2025-03-21 cs.AI 79%

Improving Grapheme-to-Phoneme Conversion through In-Context Knowledge Retrieval with Large Language Models

Dongrui Han, Mingyu Cui, Jiawen Kang, Xixin Wu, Xunying Liu, Helen Meng

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

Comments accepted by ISCSLP 2024

2502.20188 2025-02-28 cs.IR 79%

Bisecting K-Means in RAG for Enhancing Question-Answering Tasks Performance in Telecommunications

Pedro Sousa, Cláudio Klautau Mello, Frank B. Morte, Luis F. Solis Navarro

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

Comments 6 pages, 8 figures, accepted at GLOBECOM WORKSHOPS 2024

2502.15526 2025-02-24 cs.IR 79%

Scaling Sparse and Dense Retrieval in Decoder-Only LLMs

Hansi Zeng, Julian Killingback, Hamed Zamani

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

1. 检索器与排序 4563 篇

Review of Inference-Time Scaling Strategies: Reasoning, Search and RAG

EEG-MedRAG: Enhancing EEG-based Clinical Decision-Making via Hierarchical Hypergraph Retrieval-Augmented Generation

Learning Refined Document Representations for Dense Retrieval via Deliberate Thinking

AttnComp: Attention-Guided Adaptive Context Compression for Retrieval-Augmented Generation

HyFedRAG: A Federated Retrieval-Augmented Generation Framework for Heterogeneous and Privacy-Sensitive Data

Identifying Origins of Place Names via Retrieval Augmented Generation

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation

MSRS: Evaluating Multi-Source Retrieval-Augmented Generation

Beyond Semantic Similarity: Reducing Unnecessary API Calls via Behavior-Aligned Retriever

Backdoor Attacks on Dense Retrieval via Public and Unintentional Triggers

Efficient Agent: Optimizing Planning Capability for Multimodal Retrieval Augmented Generation

VAULT: Vigilant Adversarial Updates via LLM-Driven Retrieval-Augmented Generation for NLI

Bridging the Gap: Leveraging Retrieval-Augmented Generation to Better Understand Public Concerns about Vaccines

CASCADE Your Datasets for Cross-Mode Knowledge Retrieval of Language Models

FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented Generation

CAL-RAG: Retrieval-Augmented Multi-Agent Generation for Content-Aware Layout Design

Harnessing the Power of Reinforcement Learning for Language-Model-Based Information Retriever via Query-Document Co-Augmentation

Pseudo Relevance Feedback is Enough to Close the Gap Between Small and Large Dense Retrieval Models

On the Scaling of Robustness and Effectiveness in Dense Retrieval

DReSD: Dense Retrieval for Speculative Decoding

FREESON: Retriever-Free Retrieval-Augmented Reasoning via Corpus-Traversing MCTS

Hierarchical Document Refinement for Long-context Retrieval-augmented Generation

Adaptive Schema-aware Event Extraction with Retrieval-Augmented Generation

Task-level Distributionally Robust Optimization for Large Language Model-based Dense Retrieval

DOTA: Deformable Optimized Transformer Architecture for End-to-End Text Recognition with Retrieval-Augmented Generation

Retrieval Augmented Generation for Dynamic Graph Modeling

Path-RAG: Knowledge-Guided Key Region Retrieval for Open-ended Pathology Visual Question Answering

Improving Grapheme-to-Phoneme Conversion through In-Context Knowledge Retrieval with Large Language Models

Bisecting K-Means in RAG for Enhancing Question-Answering Tasks Performance in Telecommunications

Scaling Sparse and Dense Retrieval in Decoder-Only LLMs