RAG / 检索增强生成

RAG in the Wild: On the (In)effectiveness of LLMs with Mixture-of-Knowledge Retrieval Augmentation

Ran Xu, Yuchen Zhuang, Yue Yu, Haoyu Wang, Wenqi Shi, Carl Yang

机构 * Emory University（埃默里大学） ； Georgia Institute of Technology（佐治亚理工学院） ； SUNY Albany（纽约州立大学阿尔巴尼分校） ； UT Southwestern Medical Center（德克萨斯大学西南医学中心） 纠错

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

Comments Work in Progress. Code will be published at: https://github.com/ritaranx/RAG_in_the_Wild

Towards More Robust Retrieval-Augmented Generation: Evaluating RAG Under Adversarial Poisoning Attacks

Jinyan Su, Jin Peng Zhou, Zhengxin Zhang, Preslav Nakov, Claire Cardie

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

Fast or Better? Balancing Accuracy and Cost in Retrieval-Augmented Generation with Flexible User Control

Jinyan Su, Jennifer Healey, Preslav Nakov, Claire Cardie

机构 * Cornell University（康奈尔大学） ； Adobe Research（Adobe研究） ； Mohamed bin Zayed University of Artificial Intelligence（Mohamed bin Zayed人工智能大学） 纠错

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

Advanced System Integration: Analyzing OpenAPI Chunking for Retrieval-Augmented Generation

Robin D. Pesl, Jerin G. Mathew, Massimo Mecella, Marco Aiello

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

Comments This preprint has not undergone peer review (when applicable) or any post-submission improvements or corrections. The Version of Record of this contribution is published in Advanced Information Systems Engineering. CAiSE 2025. Lecture Notes in Computer Science, vol 15702. Springer, Cham., and is available online at https://doi.org/10.1007/978-3-031-94571-7_8

Journal ref Advanced Information Systems Engineering. CAiSE 2025. Lecture Notes in Computer Science, vol 15702. Springer, Cham

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation

Xin Zhang, Lissette Iturburu, Juan Nicolas Villamizar, Xiaoyu Liu, Manuel Salmeron, Shirley J. Dyke, Julio Ramirez

机构 * Lyles School of Civil and Construction Engineering（莱尔斯土木与建设工程学院） ； Purdue University（普渡大学） ； School of Mechanical Engineering（机械工程学院） 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.AI

CONCAP: Seeing Beyond English with Concepts Retrieval-Augmented Captioning

George Ibrahim, Rita Ramos, Yova Kementchedjhieva

机构 * Department of Natural Language Processing, MBZUAI（自然语言处理部门，MBZUAI） ； INESC-ID, Instituto Superior Técnico, University of Lisbon（INESC-ID，理工学院，里斯本大学） 纠错

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

Comments Published as a conference paper at COLM 2025

SAGE: Strategy-Adaptive Generation Engine for Query Rewriting

Teng Wang, Hailei Gong, Changwang Zhang, Jun Wang

机构 * OPPO Research Institution（OPPO研究院） ； Tsinghua University（清华大学） 纠错

专题命中 检索器与排序 ：dense retrieval(abstract)；分类 cs.AI

A Large Language Model-Supported Threat Modeling Framework for Transportation Cyber-Physical Systems

M Sabbir Salek, Mashrur Chowdhury, Muhaimin Bin Munir, Yuchen Cai, Mohammad Imtiaz Hasan, Jean-Michel Tine, Latifur Khan, Mizanur Rahman

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

Beyond Nearest Neighbors: Semantic Compression and Graph-Augmented Retrieval for Enhanced Vector Search

Rahul Raja, Arpita Vats

机构 * Boston University, Boston, USA（波士顿大学） ； Carnegie Mellon University, Pittsburgh, USA（卡内基梅隆大学） ； Stanford University, Palo Alto, USA（斯坦福大学） 纠错

专题命中 向量检索 ：vector search(title,abstract)；retrieval-augmented generation(abstract)；RAG(abstract)

Advancing Shared and Multi-Agent Autonomy in Underwater Missions: Integrating Knowledge Graphs and Retrieval-Augmented Generation

Michele Grimaldi, Carlo Cernicchiaro, Sebastian Realpe Rua, Alaaeddine El-Masri-El-Chaarani, Markus Buchholz, Loizos Michael, Pere Ridao Rodriguez, Ignacio Carlucho, Yvan R. Petillot

专题命中 图谱与结构化RAG ：retrieval-augmented generation(title,abstract)；RAG(abstract)

SciToolAgent: A Knowledge Graph-Driven Scientific Agent for Multi-Tool Integration

Keyan Ding, Jing Yu, Junjie Huang, Yuchen Yang, Qiang Zhang, Huajun Chen

机构 * College of Computer Science and Technology（计算机科学与技术学院） ； Zhejiang University（浙江大学） ； Zhejiang Key Laboratory of Intelligent Manufacturing for Functional Chemicals（功能化学品智能制造重点实验室） ； ZJU-Hangzhou Global Scientific and Technological Innovation Center（浙大杭州国际科学技术创新中心） ； ZJU-UIUC Institute（浙大UIUC研究院） ； The Polytechnic Institute（技术学院） ； State Key Laboratory of Ocean Sensing（海洋感知国家重点实验室） 纠错

专题命中 图谱与结构化RAG ：retrieval-augmented generation(abstract)；分类 cs.CL、cs.AI

Comments 21 pages, 6 figures

Enhancing Project-Specific Code Completion by Inferring Internal API Information

Le Deng, Xiaoxue Ren, Chao Ni, Ming Liang, David Lo, Zhongxin Liu

机构 * State Key Laboratory of Blockchain and Data Security, Zhejiang University（区块链与数据安全国家重点实验室，浙江大学） ； Ant Group（蚂蚁集团） ； School of Computing and Information Systems, Singapore Management University（新加坡管理大学计算机与信息系） 纠错

专题命中 RAG评测 ：retrieval-augmented generation(abstract)；RAG(abstract)；分类 cs.CL

Vuyko Mistral: Adapting LLMs for Low-Resource Dialectal Translation

Roman Kyslyi, Yuliia Maksymiuk, Ihor Pysmennyi

机构 * National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"（乌克兰国家技术大学 "伊戈尔·西科斯基基土夫技术学院"） ； Ukrainian Catholic University（乌克兰天主教大学） 纠错

专题命中 RAG评测 ：retrieval-augmented generation(abstract)；RAG(abstract)；分类 cs.CL

Comments Preprint. Will be published at Proceedings of the Fourth Ukrainian Natural Language Processing Workshop (UNLP)

Journal ref Proceedings of the Workshop on Ukrainian Natural Language Processing (UNLP), ACL 2025

Adopting Large Language Models to Automated System Integration

Robin D. Pesl

机构 * University of Stuttgart, Stuttgart, Germany（斯图加特大学） 纠错

专题命中 RAG评测 ：retrieval augmented generation(abstract)；RAG(abstract)；分类 cs.AI

Comments This preprint has not undergone peer review (when applicable) or any post-submission improvements or corrections. The Version of Record of this contribution is published in Intelligent Information Systems. CAiSE 2025. Lecture Notes in Business Information Processing, vol 557. Springer, Cham., and is available online at https://doi.org/10.1007/978-3-031-94590-8_37

Journal ref Intelligent Information Systems. CAiSE 2025. Lecture Notes in Business Information Processing, vol 557. Springer, Cham

Real-time Factuality Assessment from Adversarial Feedback

Sanxing Chen, Yukun Huang, Bhuwan Dhingra

专题命中 RAG评测 ：RAG(abstract)；分类 cs.CL、cs.AI