RAG / 检索增强生成

Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey

Bo Ni, Zheyuan Liu, Leyao Wang, Yongjia Lei, Yuying Zhao, Xueqi Cheng, Qingkai Zeng, Luna Dong, Yinglong Xia, Krishnaram Kenthapadi, Ryan Rossi, Franck Dernoncourt, Md Mehrab Tanjim, Nesreen Ahmed, Xiaorui Liu, Wenqi Fan, Erik Blasch, Yu Wang, Meng Jiang, Tyler Derr

机构 * Vanderbilt University（范德堡大学） ； University of Notre Dame（圣母大学） ； University of Oregon（俄勒冈大学） ； Meta ； Oracle Health AI（甲骨文健康人工智能公司） ； Adobe Research（奥多比研究院） ； Cisco AI Research（思科人工智能研究院） ； North Carolina State University（北卡罗来纳州立大学） ； The Hong Kong Polytechnic University（香港理工大学） ； Air Force Research Lab（空军研究实验室） 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.CL、cs.AI

Optimizing Knowledge Integration in Retrieval-Augmented Generation with Self-Selection

Yan Weng, Fengbin Zhu, Tong Ye, Haoyan Liu, Fuli Feng, Tat-Seng Chua

机构 * University of Science and Technology of China（中国科学技术大学） ； National University of Singapore（新加坡国立大学） ； Institute of Dataspace, Hefei Comprehensive National Science Center（合肥综合性国家科学中心数据空间研究院） 纠错

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

Comments 12 pages, 6 figures

LemmaHead: RAG Assisted Proof Generation Using Large Language Models

Tianbo Yang, Mingqi Yan, Hongyi Zhao, Tianshuo Yang

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

Mask-based Membership Inference Attacks for Retrieval-Augmented Generation

Mingrui Liu, Sixiao Zhang, Cheng Long

机构 * Nanyang Technological University（南洋理工大学） 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 This paper is accepted by conference WWW 2025

Enhancing Online Learning Efficiency Through Heterogeneous Resource Integration with a Multi-Agent RAG System

Devansh Srivastav, Hasan Md Tusfiqur Alam, Afsaneh Asaei, Mahmoud Fazeli, Tanisha Sharma, Daniel Sonntag

机构 * German Research Center for Artificial Intelligence (DFKI)（德国人工智能研究中心） ； Saarland University（萨尔大学） ； Digital Product School of UnternehmerTUM（UnternehmerTUM数字产品学院） ； Technical University of Munich（慕尼黑工业大学） ； CROWDCONSULTANTS ； Microsoft（微软） ； University of Oldenburg（奥尔登堡大学） 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

MedBioLM: Optimizing Medical and Biological QA with Fine-Tuned Large Language Models and Retrieval-Augmented Generation

Seonok Kim

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

Conversation AI Dialog for Medicare powered by Finetuning and Retrieval Augmented Generation

Atharva Mangeshkumar Agrawal, Rutika Pandurang Shinde, Vasanth Kumar Bhukya, Ashmita Chakraborty, Sagar Bharat Shah, Tanmay Shukla, Sree Pradeep Kumar Relangi, Nilesh Mutyam

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 12 pages

Journal ref ResMilitaris 2022

VideoRAG: Retrieval-Augmented Generation with Extreme Long-Context Videos

Xubin Ren, Lingrui Xu, Long Xia, Shuaiqiang Wang, Dawei Yin, Chao Huang

机构 * The University of Hong Kong（香港大学） ； Baidu Inc.（百度公司） 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

Provence: efficient and robust context pruning for retrieval-augmented generation

Nadezhda Chirkova, Thibault Formal, Vassilina Nikoulina, Stéphane Clinchant

机构 * NAVER LABS Europe（NAVER LABS欧洲） 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 Accepted to ICLR 2025

URAG: Implementing a Unified Hybrid RAG for Precise Answers in University Admission Chatbots -- A Case Study at HCMUT

Long Nguyen, Tho Quan

机构 * Ho Chi Minh City University of Technology (HCMUT)（胡志明市技术大学（HCMUT）） ； Vietnam National University Ho Chi Minh City（越南国家大学胡志明市分校） 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

Comments Under review at SoICT'24

Parametric Retrieval Augmented Generation

Weihang Su, Yichen Tang, Qingyao Ai, Junxi Yan, Changyue Wang, Hongning Wang, Ziyi Ye, Yujia Zhou, Yiqun Liu

机构 * Tsinghua University（清华大学） 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

Mix-of-Granularity: Optimize the Chunking Granularity for Retrieval-Augmented Generation

Zijie Zhong, Hanwen Liu, Xiaoya Cui, Xiaofan Zhang, Zengchang Qin

机构 * Shanghai AI Laboratory（上海人工智能实验室） ； Beihang University（北京航空航天大学） ； theSight Technology（视辰科技） 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 COLING 2025 conference paper. 19 pages, 6 figures and 11 tables

Parallel Key-Value Cache Fusion for Position Invariant RAG

Philhoon Oh, Jinwoo Shin, James Thorne

机构 * KAIST AI（韩国科学技术院人工智能部门） 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

Comments 5 pages

Enhancing textual textbook question answering with large language models and retrieval augmented generation

Hessa Abdulrahman Alawwad, Areej Alhothali, Usman Naseem, Ali Alkhathlan, Amani Jamal

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

Journal ref Pattern Recognition, Volume 162, 2025, Article 111332

Enhancing Retrieval-Augmented Generation: A Study of Best Practices

Siran Li, Linus Stenzel, Carsten Eickhoff, Seyed Ali Bahrainian

机构 * University of Tübingen（蒂宾根大学） 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

LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts

Yuri Facanha Bezerra, Li Weigang

机构 * University of Brasilia（巴西利亚大学） ； TransLab（特兰斯实验室） 纠错

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

RAG-Instruct: Boosting LLMs with Diverse Retrieval-Augmented Instructions

Wanlong Liu, Junying Chen, Ke Ji, Li Zhou, Wenyu Chen, Benyou Wang

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

RAGONITE: Iterative Retrieval on Induced Databases and Verbalized RDF for Conversational QA over KGs with RAG

Rishiraj Saha Roy, Chris Hinze, Joel Schlotthauer, Farzad Naderi, Viktor Hangya, Andreas Foltyn, Luzian Hahn, Fabian Kuech

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

Comments Accepted at BTW 2025, 10 pages

Dehallucinating Parallel Context Extension for Retrieval-Augmented Generation

Zexiong Ma, Shengnan An, Zeqi Lin, Yanzhen Zou, Jian-Guang Lou, Bing Xie

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

Enhancing Rhetorical Figure Annotation: An Ontology-Based Web Application with RAG Integration

Ramona Kühn, Jelena Mitrović, Michael Granitzer

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

Comments The 31st International Conference on Computational Linguistics (COLING 2025)

BioRAGent: A Retrieval-Augmented Generation System for Showcasing Generative Query Expansion and Domain-Specific Search for Scientific Q&A

Samy Ateia, Udo Kruschwitz

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

Comments Version as accepted at the Demo Track at ECIR 2025

Semantic Tokens in Retrieval Augmented Generation

Joel Suro

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

Application of NotebookLM, a Large Language Model with Retrieval-Augmented Generation, for Lung Cancer Staging

Ryota Tozuka, Hisashi Johno, Akitomo Amakawa, Junichi Sato, Mizuki Muto, Shoichiro Seki, Atsushi Komaba, Hiroshi Onishi

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

Comments 9 pages, 5 figures, 1 table, 3 ancillary files

Multi-Reranker: Maximizing performance of retrieval-augmented generation in the FinanceRAG challenge

Joohyun Lee, Minji Roh

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

Deploying Large Language Models With Retrieval Augmented Generation

Sonal Prabhune, Donald J. Berndt

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

"Knowing When You Don't Know": A Multilingual Relevance Assessment Dataset for Robust Retrieval-Augmented Generation

Nandan Thakur, Luiz Bonifacio, Xinyu Zhang, Odunayo Ogundepo, Ehsan Kamalloo, David Alfonso-Hermelo, Xiaoguang Li, Qun Liu, Boxing Chen, Mehdi Rezagholizadeh, Jimmy Lin

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

Comments EMNLP 2024 (Findings)

Leveraging Retrieval-Augmented Generation for Culturally Inclusive Hakka Chatbots: Design Insights and User Perceptions

Chen-Chi Chang, Han-Pi Chang, Hung-Shin 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 IEEE RASSE 2024

Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach

Zhuowan Li, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky

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 2024 industry track

EasyRAG: Efficient Retrieval-Augmented Generation Framework for Automated Network Operations

Zhangchi Feng, Dongdong Kuang, Zhongyuan Wang, Zhijie Nie, Yaowei Zheng, Richong Zhang

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

Comments 10 pages, 2 figures

oRetrieval Augmented Generation for 10 Large Language Models and its Generalizability in Assessing Medical Fitness

Yu He Ke, Liyuan Jin, Kabilan Elangovan, Hairil Rizal Abdullah, Nan Liu, Alex Tiong Heng Sia, Chai Rick Soh, Joshua Yi Min Tung, Jasmine Chiat Ling Ong, Chang-Fu Kuo, Shao-Chun Wu, Vesela P. Kovacheva, Daniel Shu Wei Ting

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

Comments arXiv admin note: substantial text overlap with arXiv:2402.01733