RAG / 检索增强生成 - arXivDaily 专题

2504.12477 2025-11-11 cs.AI cs.CL cs.HC 73%

Towards Conversational AI for Human-Machine Collaborative MLOps

George Fatouros, Georgios Makridis, George Kousiouris, John Soldatos, Anargyros Tsadimas, Dimosthenis Kyriazis

机构 * Innov-Acts Ltd（Innov-Acts公司）； Dept. of Digital Systems（数字系统系）； University of Piraeus（比雷埃克斯大学）； Dept. of Informatics and Telematics（信息与电信学系）； Harokopio University（哈罗科比奥大学）

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

Comments 8 pages, 5 figures

Journal ref 2025 21st International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT)

2511.05498 2025-11-11 cs.IR cs.AI 73%

Biomedical Hypothesis Explainability with Graph-Based Context Retrieval

Ilya Tyagin, Saeideh Valipour, Aliaksandra Sikirzhytskaya, Michael Shtutman, Ilya Safro

机构 * Center for Bioinformatics and Computational Biology University of Delaware（生物信息学与计算生物学中心大田纳西大学）； Computer and Information Sciences University of Delaware（计算机与信息科学大田纳西大学）； Drug Discovery and Biomedical Sciences (DDBS) College of Pharmacy University of South Carolina（药物发现与生物医学科学（DDBS）药学院美国南卡罗来纳大学）

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

Comments 30 pages, 10 figures,

2511.04956 2025-11-10 cs.AI cs.CL 73%

ORCHID: Orchestrated Retrieval-Augmented Classification with Human-in-the-Loop Intelligent Decision-Making for High-Risk Property

Maria Mahbub, Vanessa Lama, Sanjay Das, Brian Starks, Christopher Polchek, Saffell Silvers, Lauren Deck, Prasanna Balaprakash, Tirthankar Ghosal

机构 * Oak Ridge National Laboratory（橡树岭国家实验室）； Pacific Northwest National Laboratory（太平洋西北国家实验室）

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

2511.04020 2025-11-07 cs.CL cs.AI 73%

Abductive Inference in Retrieval-Augmented Language Models: Generating and Validating Missing Premises

Shiyin Lin

机构 * Independent Researcher, Mountain View, CA94039, USA（独立研究者）

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

2511.03214 2025-11-06 cs.CL cs.AI 73%

LGM: Enhancing Large Language Models with Conceptual Meta-Relations and Iterative Retrieval

Wenchang Lei, Ping Zou, Yue Wang, Feng Sun, Lei Zhao

机构 * Philisense（哲思科技）

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

Comments 30 pages, 5 figures

2505.14146 2025-11-06 cs.AI cs.CL 73%

s3: You Don't Need That Much Data to Train a Search Agent via RL

Pengcheng Jiang, Xueqiang Xu, Jiacheng Lin, Jinfeng Xiao, Zifeng Wang, Jimeng Sun, Jiawei Han

机构 * University of Illinois Urbana Champaign（伊利诺伊大学厄巴纳-香槟分校）； Amazon（亚马逊公司）

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

Comments EMNLP 2025 camera-ready

2511.01305 2025-11-04 cs.CL cs.AI cs.NI 73%

DeepSpecs: Expert-Level Questions Answering in 5G

Aman Ganapathy Manvattira, Yifei Xu, Ziyue Dang, Songwu Lu

机构 * University of California, Los Angeles（加州大学洛杉矶分校）

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

2510.26345 2025-10-31 cs.CL cs.AI cs.LG 73%

MisSynth: Improving MISSCI Logical Fallacies Classification with Synthetic Data

Mykhailo Poliakov, Nadiya Shvai

机构 * National University of Kyiv-Mohyla Academy（基辅-莫希拉学院国家大学）

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

2509.23659 2025-10-28 cs.CL cs.AI 73%

Aligning LLMs for Multilingual Consistency in Enterprise Applications

Amit Agarwal, Hansa Meghwani, Hitesh Laxmichand Patel, Tao Sheng, Sujith Ravi, Dan Roth

机构 * Oracle AI

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

Comments Accepted at EMNLP 2025

2506.00363 2025-10-22 cs.IR cs.CL 73%

Adapting General-Purpose Embedding Models to Private Datasets Using Keyword-based Retrieval

Yubai Wei, Jiale Han, Yi Yang

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

Comments Link: https://github.com/BaileyWei/BMEmbed

Journal ref Findings of the Association for Computational Linguistics ACL 2025

2510.17301 2025-10-21 cs.DB cs.AI 73%

Comprehending Spatio-temporal Data via Cinematic Storytelling using Large Language Models

Panos Kalnis. Shuo Shang, Christian S. Jensen

机构 * King Abdullah University of Science and Technology (KAUST)（卡塔尔国王 Abdullah 科学与技术大学）； University of Electronic Science and Technology of China (UESTC)（中国电子科学与技术大学）； Aalborg University（奥尔堡大学）

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

Comments 5 pages

Journal ref SSTD '25: Proceedings of the 19th International Symposium on Spatial and Temporal Data, Pages 12,26, 2025

2508.12081 2025-10-21 cs.CV cs.AI cs.CL 73%

VimoRAG: Video-based Retrieval-augmented 3D Motion Generation for Motion Language Models

Haidong Xu, Guangwei Xu, Zhedong Zheng, Xiatian Zhu, Wei Ji, Xiangtai Li, Ruijie Guo, Meishan Zhang, Min zhang, Hao Fei

机构 * Harbin Institute of Technology (Shenzhen)（哈尔滨工业大学（深圳））； University of Macau（澳门大学）； University of Surrey（Surrey大学）； Nanjing University（南京大学）； Nanyang Technological University（南洋理工大学）； National University of Singapore（新加坡国立大学）

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

Comments Accepted by NeurIPS 2025; Project Page: https://walkermitty.github.io/VimoRAG

2505.17281 2025-10-10 cs.CL cs.AI 73%

Search Wisely: Mitigating Sub-optimal Agentic Searches By Reducing Uncertainty

Peilin Wu, Mian Zhang, Xinlu Zhang, Xinya Du, Zhiyu Zoey Chen

机构 * Department of Computer Science, The University of Texas at Dallas（德克萨斯大学达拉斯分校计算机科学系）； Department of Computer Science, University of California, Santa Barbara（加州大学圣巴巴拉分校计算机科学系）

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

2510.04392 2025-10-07 cs.CL cs.AI cs.CY cs.LG 73%

Improving Consistency in Retrieval-Augmented Systems with Group Similarity Rewards

Faisal Hamman, Chenyang Zhu, Anoop Kumar, Xujun Peng, Sanghamitra Dutta, Daben Liu, Alfy Samuel

机构 * University of Maryland, College Park（马里兰大学学院公园分校）； Capital One

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

Comments Accepted at NeurIPS 2025 Workshop on Reliable ML from Unreliable Data

2510.02668 2025-10-06 cs.IR cs.AI 73%

AgenticRAG: Tool-Augmented Foundation Models for Zero-Shot Explainable Recommender Systems

Bo Ma, Hang Li, ZeHua Hu, XiaoFan Gui, LuYao Liu, Simon Liu

机构 * Department of Software \& Microelectronics Peking University Beijing, China ； Department of Software \& Microelectronics Peking University Beijing, China hangli\ ； Department of Software \& Microelectronics Peking University Beijing, China zehua\ ； Department of Software \& Microelectronics Peking University Beijing, China xiaofan\ ； Economic Law School China University of Political Science ； School of Computer Science Peking University Beijing, China

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

2507.21117 2025-10-06 cs.IR cs.AI 73%

A Comprehensive Review on Harnessing Large Language Models to Overcome Recommender System Challenges

Rahul Raja, Anshaj Vats, Arpita Vats, Anirban Majumder

机构 * Linkedin, Carnegie Mellon University, Stanford University（LinkedIn、卡内基梅隆大学、斯坦福大学）； Meta ； Linkedin, Meta AI, Amazon, Boston University（LinkedIn、Meta AI、亚马逊、波士顿大学）； Amazon（亚马逊）

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

2510.01165 2025-10-02 cs.CL cs.AI cs.LG 73%

GRAD: Generative Retrieval-Aligned Demonstration Sampler for Efficient Few-Shot Reasoning

Oussama Gabouj, Kamel Charaf, Ivan Zakazov, Nicolas Baldwin, Robert West

机构 * EPFL（苏黎世联邦理工学院）

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

Comments EMNLP 2025 (findings)

2510.00662 2025-10-02 cs.CL cs.AI 73%

Facilitating Cognitive Accessibility with LLMs: A Multi-Task Approach to Easy-to-Read Text Generation

François Ledoyen, Gaël Dias, Jeremie Pantin, Alexis Lechervy, Fabrice Maurel, Youssef Chahir

机构 * Université Caen Normandie, ENSICAEN, CNRS, Normandie Univ, GREYC UMR 6072（法国卡恩大学、ENSICAEN、CNRS、诺曼底大学、GREYC UMR 6072）； Koena SAS

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

Comments EMNLP 2025

2505.07672 2025-09-30 cs.CL cs.AI cs.LG 73%

OnPrem.LLM: A Privacy-Conscious Document Intelligence Toolkit

Arun S. Maiya

机构 * Institute for Defense Analyses（国防分析研究所）

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

Comments 6 pages

2509.17066 2025-09-23 cs.AI cs.IR 73%

RALLM-POI: Retrieval-Augmented LLM for Zero-shot Next POI Recommendation with Geographical Reranking

Kunrong Li, Kwan Hui Lim

机构 * Singapore University of Technology and Design（新加坡科技设计大学）

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

Comments PRICAI 2025

2411.07820 2025-09-22 cs.CL cs.IR 73%

Query Optimization for Parametric Knowledge Refinement in Retrieval-Augmented Large Language Models

Youan Cong, Pritom Saha Akash, Cheng Wang, Kevin Chen-Chuan Chang

机构 * University of Illinois Urbana-Champaign（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.IR、cs.CL

2505.07546 2025-09-19 cs.IR cs.AI 73%

GRADA: Graph-based Reranking against Adversarial Documents Attack

Jingjie Zheng, Aryo Pradipta Gema, Giwon Hong, Xuanli He, Pasquale Minervini, Youcheng Sun, Qiongkai Xu

机构 * University of Melbourne（墨尔本大学）； University of Edinburgh（爱丁堡大学）； University College London（伦敦大学学院）； Mohamed bin Zayed University of Artificial Intelligence（穆罕默德·本·扎耶德人工智能大学）； Macquarie University（麦觉里大学）

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

2509.12743 2025-09-17 cs.AI cs.CL 73%

Zero-shot Graph Reasoning via Retrieval Augmented Framework with LLMs

Hanqing Li, Kiran Sheena Jyothi, Henry Liang, Sharika Mahadevan, Diego Klabjan

机构 * Northwestern University（西北大学）； EXL Service（EXL服务）； Vail Systems（Vail系统）； Netflix

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

2509.10886 2025-09-16 cs.CL cs.AI 73%

CultureSynth: A Hierarchical Taxonomy-Guided and Retrieval-Augmented Framework for Cultural Question-Answer Synthesis

Xinyu Zhang, Pei Zhang, Shuang Luo, Jialong Tang, Yu Wan, Baosong Yang, Fei Huang

机构 * Tongyi Lab, Alibaba Group Inc（通义实验室，阿里集团）

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

Comments Accepted as a Findings paper at EMNLP 2025

2509.10744 2025-09-16 cs.CL cs.AI 73%

Automated MCQA Benchmarking at Scale: Evaluating Reasoning Traces as Retrieval Sources for Domain Adaptation of Small Language Models

Ozan Gokdemir, Neil Getty, Robert Underwood, Sandeep Madireddy, Franck Cappello, Arvind Ramanathan, Ian T. Foster, Rick L. Stevens

机构 * Argonne National Laboratory（阿贡国家实验室）； The University of Chicago（芝加哥大学）

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

Comments This manuscript has been accepted for publication at the Supercomputing 25 (SC '25) Conference (Frontiers in Generative AI for HPC Science and Engineering: Foundations, Challenges, and Opportunities Workshop) in St. Louis, MO, USA on November 16th, 2025. It will appear in the SC25 Workshop Proceedings after that date

2509.07666 2025-09-10 cs.CL cs.IR 73%

MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval

Xixi Wu, Yanchao Tan, Nan Hou, Ruiyang Zhang, Hong Cheng

机构 * The Chinese University of Hong Kong（香港中文大学）； Fuzhou University（福州大学）； University of Macau（澳门大学）

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

Comments EMNLP Main 2025

2509.04482 2025-09-09 cs.CL cs.AI 73%

Energy Landscapes Enable Reliable Abstention in Retrieval-Augmented Large Language Models for Healthcare

Ravi Shankar, Sheng Wong, Lin Li, Magdalena Bachmann, Alex Silverthorne, Beth Albert, Gabriel Davis Jones

机构 * Oxford Digital Health Labs（牛津数字健康实验室）； Nuffield Department of Women’s and Reproductive Health（妇女与生殖健康尼富尔德部门）； University of Oxford（牛津大学）； OATML ； Department of Computer Science（计算机科学系）

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

2509.01514 2025-09-03 cs.CL cs.AI 73%

MeVe: A Modular System for Memory Verification and Effective Context Control in Language Models

Andreas Ottem

机构 * Independent Researcher（独立研究者）

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

Comments 16 pages, 7 figures, held online presentation at NLPA 2025

2412.04342 2025-09-01 cs.CL cs.AI 73%

Retrieval-Augmented Machine Translation with Unstructured Knowledge

Jiaan Wang, Fandong Meng, Yingxue Zhang, Jie Zhou

机构 * Pattern Recognition Center, WeChat AI, Tencent Inc（模式识别中心、微信AI、腾讯公司）

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

Comments EMNLP 2025 Findings

2409.15163 2025-08-21 cs.CL cs.IR 73%

Lessons Learned on Information Retrieval in Electronic Health Records: A Comparison of Embedding Models and Pooling Strategies

Skatje Myers, Timothy A. Miller, Yanjun Gao, Matthew M. Churpek, Anoop Mayampurath, Dmitriy Dligach, Majid Afshar

机构 * University of Wisconsin-Madison（威斯康星大学麦迪逊分校）； Boston Children’s Hospital Harvard Medical School（波士顿儿童医院哈佛医学院）； University of Colorado Anschutz（科罗拉多大学安舒茨分校）； Loyola University Chicago（芝加哥洛约拉大学）

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

1. 检索器与排序 4602 篇

Towards Conversational AI for Human-Machine Collaborative MLOps

Biomedical Hypothesis Explainability with Graph-Based Context Retrieval

ORCHID: Orchestrated Retrieval-Augmented Classification with Human-in-the-Loop Intelligent Decision-Making for High-Risk Property

Abductive Inference in Retrieval-Augmented Language Models: Generating and Validating Missing Premises

LGM: Enhancing Large Language Models with Conceptual Meta-Relations and Iterative Retrieval

s3: You Don't Need That Much Data to Train a Search Agent via RL

DeepSpecs: Expert-Level Questions Answering in 5G

MisSynth: Improving MISSCI Logical Fallacies Classification with Synthetic Data

Aligning LLMs for Multilingual Consistency in Enterprise Applications

Adapting General-Purpose Embedding Models to Private Datasets Using Keyword-based Retrieval

Comprehending Spatio-temporal Data via Cinematic Storytelling using Large Language Models

VimoRAG: Video-based Retrieval-augmented 3D Motion Generation for Motion Language Models

Search Wisely: Mitigating Sub-optimal Agentic Searches By Reducing Uncertainty

Improving Consistency in Retrieval-Augmented Systems with Group Similarity Rewards

AgenticRAG: Tool-Augmented Foundation Models for Zero-Shot Explainable Recommender Systems

A Comprehensive Review on Harnessing Large Language Models to Overcome Recommender System Challenges

GRAD: Generative Retrieval-Aligned Demonstration Sampler for Efficient Few-Shot Reasoning

Facilitating Cognitive Accessibility with LLMs: A Multi-Task Approach to Easy-to-Read Text Generation

OnPrem.LLM: A Privacy-Conscious Document Intelligence Toolkit

RALLM-POI: Retrieval-Augmented LLM for Zero-shot Next POI Recommendation with Geographical Reranking

Query Optimization for Parametric Knowledge Refinement in Retrieval-Augmented Large Language Models

GRADA: Graph-based Reranking against Adversarial Documents Attack

Zero-shot Graph Reasoning via Retrieval Augmented Framework with LLMs

CultureSynth: A Hierarchical Taxonomy-Guided and Retrieval-Augmented Framework for Cultural Question-Answer Synthesis

Automated MCQA Benchmarking at Scale: Evaluating Reasoning Traces as Retrieval Sources for Domain Adaptation of Small Language Models

MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval

Energy Landscapes Enable Reliable Abstention in Retrieval-Augmented Large Language Models for Healthcare

MeVe: A Modular System for Memory Verification and Effective Context Control in Language Models

Retrieval-Augmented Machine Translation with Unstructured Knowledge

Lessons Learned on Information Retrieval in Electronic Health Records: A Comparison of Embedding Models and Pooling Strategies