RAG / 检索增强生成

Validating Pharmacogenomics Generative Artificial Intelligence Query Prompts Using Retrieval-Augmented Generation (RAG)

Ashley Rector, Keaton Minor, Kamden Minor, Jeff McCormack, Beth Breeden, Ryan Nowers, Jay Dorris

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

T-GRAG: A Dynamic GraphRAG Framework for Resolving Temporal Conflicts and Redundancy in Knowledge Retrieval

Dong Li, Yichen Niu, Ying Ai, Xiang Zou, Biqing Qi, Jianxing Liu

专题命中 检索器与排序 ：knowledge retrieval(title)；retrieval-augmented generation(abstract)；RAG(abstract)；retriever(abstract)

Provably Secure Retrieval-Augmented Generation

Pengcheng Zhou, Yinglun Feng, Zhongliang Yang

机构 * Beijing University of Posts and Telecommunications（北京邮电大学） 纠错

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

Hypercube-Based Retrieval-Augmented Generation for Scientific Question-Answering

Jimeng Shi, Sizhe Zhou, Bowen Jin, Wei Hu, Runchu Tian, Shaowen Wang, Giri Narasimhan, Jiawei Han

机构 * Florida International University（佛罗里达国际大学） ； University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校） 纠错

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

Comments 14 pages, 11 figures

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

Towards Temporal-Aware Multi-Modal Retrieval Augmented Generation in Finance

Fengbin Zhu, Junfeng Li, Liangming Pan, Wenjie Wang, Fuli Feng, Chao Wang, Huanbo Luan, Tat-Seng Chua

机构 * National University of Singapore（新加坡国立大学） ； Peking University（北京大学） ； University of Science and Technology of China（中国科学技术大学） ； Estates Pte Ltd（6Estates私人有限公司） 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.AI

Comments Accepted by MM 2025

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

CTR-Driven Ad Text Generation via Online Feedback Preference Optimization

Yanda Chen, Zihui Ren, Qixiang Gao, Jiale Chen, Si Chen, Xubin Li, Tiezheng Ge, Bo Zheng

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

Comments 13 pages, 7 figures, 8 tables

MaRGen: Multi-Agent LLM Approach for Self-Directed Market Research and Analysis

Roman Koshkin, Pengyu Dai, Nozomi Fujikawa, Masahito Togami, Marco Visentini-Scarzanella

机构 * Okinawa Institute of Science and Technology（冲绳科学技术研究所） ； Institute of Science Tokyo（东京科学研究所） ； Amazon（亚马逊） 纠错

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

Transportation Cyber Incident Awareness through Generative AI-Based Incident Analysis and Retrieval-Augmented Question-Answering Systems

Ostonya Thomas, Muhaimin Bin Munir, Jean-Michel Tine, Mizanur Rahman, Yuchen Cai, Khandakar Ashrafi Akbar, Md Nahiyan Uddin, Latifur Khan, Trayce Hockstad, Mashrur Chowdhury

专题命中 检索器与排序 ：retrieval augmented generation(abstract)

Comments This paper has been submitted to the Transportation Research Board (TRB) for consideration for presentation at the 2026 Annual Meeting

AutoLoRA: Automatic LoRA Retrieval and Fine-Grained Gated Fusion for Text-to-Image Generation

Zhiwen Li, Zhongjie Duan, Die Chen, Cen Chen, Daoyuan Chen, Yaliang Li, Yingda Chen

专题命中 检索器与排序 ：retriever(abstract)