RAG / 检索增强生成

TableRAG: A Retrieval Augmented Generation Framework for Heterogeneous Document Reasoning

Xiaohan Yu, Pu Jian, Chong Chen

机构 * Huawei Cloud BU（华为云业务部） 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

Comments Accepted by EMNLP 2025. Codes are available at https://github.com/yxh-y/TableRAG/tree/main

Multi-Value-Product Retrieval-Augmented Generation for Industrial Product Attribute Value Identification

Huike Zou, Haiyang Yang, Yindu Su, Liyu Chen, Chengbao Lian, Qingheng Zhang, Shuguang Han, Jufeng Chen

机构 * Xianyu of Alibaba（阿里巴巴阿里圆（Xianyu）） ； Xiaohongshu Inc.（小红书公司） 纠错

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

Conflict-Aware Soft Prompting for Retrieval-Augmented Generation

Eunseong Choi, June Park, Hyeri Lee, Jongwuk Lee

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

Comments Accepted to EMNLP 2025; 15 pages; 5 figures, 11 tables; Code available at https://github.com/eunseongc/CARE

Retrieval-Augmented Generation with Hierarchical Knowledge

Haoyu Huang, Yongfeng Huang, Junjie Yang, Zhenyu Pan, Yongqiang Chen, Kaili Ma, Hongzhi Chen, James Cheng

机构 * CSE, The Chinese University of Hong Kong（计算机科学与工程系，香港中文大学） 纠错

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

Comments EMNLP 2025 Findings

From Search to Reasoning: A Five-Level RAG Capability Framework for Enterprise Data

Gurbinder Gill, Ritvik Gupta, Denis Lusson, Anand Chandrashekar, Donald Nguyen

机构 * Corvic AI Inc（Corvic AI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.AI

Query-Centric Graph Retrieval Augmented Generation

Yaxiong Wu, Jianyuan Bo, Yongyue Zhang, Sheng Liang, Yong Liu

机构 * Huawei Technologies Co., Ltd（华为技术有限公司） 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

Comments 25 pages, 6 figures, 1 table

Clue-RAG: Towards Accurate and Cost-Efficient Graph-based RAG via Multi-Partite Graph and Query-Driven Iterative Retrieval

Yaodong Su, Yixiang Fang, Yingli Zhou, Quanqing Xu, Chuanhui Yang

机构 * The Chinese University of Hong Kong, Shenzhen（香港中文大学（深圳）） 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

GeoGPT-RAG Technical Report

Fei Huang, Fan Wu, Zeqing Zhang, Qihao Wang, Long Zhang, Grant Michael Boquet, Hongyang Chen

机构 * GeoGPT Team（GeoGPT团队） ； Zhejiang Lab（浙江实验室） 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

Comments 19 pages, 10 figures, 10 tables

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation

YiHan Jiao, ZheHao Tan, Dan Yang, DuoLin Sun, Jie Feng, Yue Shen, Jian Wang, Peng Wei

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

Domain-Aware RAG: MoL-Enhanced RL for Efficient Training and Scalable Retrieval

Hao Lin, Peitong Xie, Jingxue Chen, Jie Lin, Qingkun Tang, Qianchun Lu

机构 * Southeast University（东南大学） ； Nanyang Technological University（南洋理工大学） ； Wired Product Operation Division, ZTE Corporation（ZTE公司无线产品运营部） 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

Enhancing Technical Documents Retrieval for RAG

Songjiang Lai, Tsun-Hin Cheung, Ka-Chun Fung, Kaiwen Xue, Kwan-Ho Lin, Yan-Ming Choi, Vincent Ng, Kin-Man Lam

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

SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment

Yuqing Huang, Rongyang Zhang, Qimeng Wang, Chengqiang Lu, Yan Gao, Yi Wu, Yao Hu, Xuyang Zhi, Guiquan Liu, Xin Li, Hao Wang, Enhong Chen

机构 * University of Science and Technology of China（中国科学技术大学） ； Xiaohongshu Inc.（小红书公司） 纠错

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

Evaluating the Robustness of Retrieval-Augmented Generation to Adversarial Evidence in the Health Domain

Shakiba Amirshahi, Amin Bigdeli, Charles L. A. Clarke, Amira Ghenai

机构 * University of Waterloo（滑铁卢大学） ； Toronto Metropolitan University（多伦多 Metropolitan 大学） 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

HF-RAG: Hierarchical Fusion-based RAG with Multiple Sources and Rankers

Payel Santra, Madhusudan Ghosh, Debasis Ganguly, Partha Basuchowdhuri, Sudip Kumar Naskar

机构 * University of Glasgow（格拉斯哥大学） ； Jadavpur University（贾瓦德普尔大学） 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

Federated Retrieval-Augmented Generation: A Systematic Mapping Study

Abhijit Chakraborty, Chahana Dahal, Vivek Gupta

机构 * Arizona State University（亚利桑那州立大学） ； University of Nevada, Las Vegas（内华达大学拉斯维加斯分校） 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

An Agile Method for Implementing Retrieval Augmented Generation Tools in Industrial SMEs

Mathieu Bourdin, Anas Neumann, Thomas Paviot, Robert Pellerin, Samir Lamouri

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

Comments 20 pages, 3 figures

mRAG: Elucidating the Design Space of Multi-modal Retrieval-Augmented Generation

Chan-Wei Hu, Yueqi Wang, Shuo Xing, Chia-Ju Chen, Suofei Feng, Ryan Rossi, Zhengzhong Tu

机构 * Texas A&M University（德克萨斯农工大学） ； University of California, Berkeley（加州大学伯克利分校） ； University of Texas at Austin（德克萨斯大学奥斯汀分校） ； Stanford University（斯坦福大学） ； Adobe Research（Adobe研究院） 纠错

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

Comments 16 pages

Exposing Privacy Risks in Graph Retrieval-Augmented Generation

Jiale Liu, Jiahao Zhang, Suhang Wang

机构 * The Pennsylvania State University（宾夕法尼亚州立大学） 纠错

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

Test-time Corpus Feedback: From Retrieval to RAG

Mandeep Rathee, V Venktesh, Sean MacAvaney, Avishek Anand

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

Comments 18 pages, 1 figure

A Question Answering Dataset for Temporal-Sensitive Retrieval-Augmented Generation

Ziyang Chen, Erxue Min, Xiang Zhao, Yunxin Li, Xin Jia, Jinzhi Liao, Jichao Li, Shuaiqiang Wang, Baotian Hu, Dawei Yin

机构 * Laboratory for Big Data and Decision, National University of Defense Technology, Changsha, China（大数据与决策实验室，国防科技大学，长沙，中国） ； Baidu Inc., Beijing, China（百度公司，北京，中国） ； Department of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China（计算机科学与技术系，哈尔滨工业大学（深圳），深圳，中国） 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

Comments 10 pages, 5 figures

From Ranking to Selection: A Simple but Efficient Dynamic Passage Selector for Retrieval Augmented Generation

Siyuan Meng, Junming Liu, Yirong Chen, Song Mao, Pinlong Cai, Guohang Yan, Botian Shi, Ding Wang

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

Comments 9 pages, 4 tables

Retrieval-Augmented Generation with Conflicting Evidence

Han Wang, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal

机构 * University of North Carolina at Chapel Hill（北卡罗来纳大学教堂山分校） 纠错

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

Comments COLM 2025, Data and Code: https://github.com/HanNight/RAMDocs

PrLM: Learning Explicit Reasoning for Personalized RAG via Contrastive Reward Optimization

Kepu Zhang, Teng Shi, Weijie Yu, Jun Xu

机构 * Gaoling School of Artificial Intelligence\ University of China Beijing China ； School of Information Technology ； Gaoling School of Artificial Intelligence\ University of China 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

Lessons from A Large Language Model-based Outdoor Trail Recommendation Chatbot with Retrieval Augmented Generation

Julia Ann Mathew, Suining He

机构 * University of Connecticut（康涅狄格大学） ； School of Computing（计算学院） 纠错

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

Comments 4 pages, UrbComp 2025

MAO-ARAG: Multi-Agent Orchestration for Adaptive Retrieval-Augmented Generation

Yiqun Chen, Erhan Zhang, Lingyong Yan, Shuaiqiang Wang, Jizhou Huang, Dawei Yin, Jiaxin Mao

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

RATE: An LLM-Powered Retrieval Augmented Generation Technology-Extraction Pipeline

Karan Mirhosseini, Arya Aftab, Alireza Sheikh

机构 * Dept. of Management, Science and Technology（管理、科学与技术系） ； Amirkabir University of Technology（阿姆尔卡比尔科技大学） ； Dept. of Electrical Engineering（电气工程系） ； Sharif University of Technology（沙里夫科技大学） 纠错

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

Comments 9 pages, 4 figures, 1 table

PrismRAG: Boosting RAG Factuality with Distractor Resilience and Strategized Reasoning

Mohammad Kachuee, Teja Gollapudi, Minseok Kim, Yin Huang, Kai Sun, Xiao Yang, Jiaqi Wang, Nirav Shah, Yue Liu, Aaron Colak, Anuj Kumar, Wen-tau Yih, Xin Luna Dong

机构 * Meta Reality Labs（Meta现实实验室） ； Meta FAIR 纠错

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

Advancing Risk and Quality Assurance: A RAG Chatbot for Improved Regulatory Compliance

Lars Hillebrand, Armin Berger, Daniel Uedelhoven, David Berghaus, Ulrich Warning, Tim Dilmaghani, Bernd Kliem, Thomas Schmid, Rüdiger Loitz, Rafet Sifa

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

Comments Accepted and published at BigData 2024, 3 pages, 3 tables, 2 figures

Journal ref 2024 IEEE International Conference on Big Data (BigData), Washington, DC, USA, 2024, pp. 8668-8670

DeRAG: Black-box Adversarial Attacks on Multiple Retrieval-Augmented Generation Applications via Prompt Injection

Jerry Wang, Fang Yu

机构 * Department of Management Information Systems, National ChengChi University（管理信息系，国立中正大学） 纠错

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

Comments Accepted by KDD Workshop on Prompt Optimization 2025

Dynamic Context Tuning for Retrieval-Augmented Generation: Enhancing Multi-Turn Planning and Tool Adaptation

Jubin Abhishek Soni, Amit Anand, Rajesh Kumar Pandey, Aniket Abhishek Soni

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

Comments We are withdrawing the submission in order to thoroughly revise the work