RAG / 检索增强生成 - arXivDaily 专题

2510.11654 2025-11-19 cs.IR cs.AI cs.CL 85%

FinVet: A Collaborative Framework of RAG and External Fact-Checking Agents for Financial Misinformation Detection

Daniel Berhane Araya, Duoduo Liao

机构 * College of Engineering and Computing（工程与计算学院）； George Mason University（乔治·马歇尔大学）

专题命中 RAG评测：RAG(title,abstract)；retrieval-augmented generation(abstract)；分类 cs.IR、cs.CL、cs.AI

2511.14531 2025-11-19 cs.CL cs.IR 84%

LiveRAG: A diverse Q&A dataset with varying difficulty level for RAG evaluation

David Carmel, Simone Filice, Guy Horowitz, Yoelle Maarek, Alex Shtoff, Oren Somekh, Ran Tavory

机构 * Technology Innovation Institute (TII)（技术创新研究所）

专题命中 RAG评测：RAG(title,abstract)；retrieval augmented generation(abstract)；分类 cs.IR、cs.CL

Comments 14 pages, 4 figures, 5 tables

2508.14066 2025-11-19 cs.IR cs.AI 84%

Retrieval-Augmented Generation in Industry: An Interview Study on Use Cases, Requirements, Challenges, and Evaluation

Lorenz Brehme, Benedikt Dornauer, Thomas Ströhle, Maximilian Ehrhart, Ruth Breu

专题命中 RAG评测：retrieval-augmented generation(title,abstract)；RAG(abstract)；分类 cs.IR、cs.AI

Comments This preprint was accepted for presentation at the 17th International Conference on Knowledge Discovery and Information Retrieval (KDIR25)

2511.14362 2025-11-19 cs.DL cs.CL 70%

SciRAG: Adaptive, Citation-Aware, and Outline-Guided Retrieval and Synthesis for Scientific Literature

Hang Ding, Yilun Zhao, Tiansheng Hu, Manasi Patwardhan, Arman Cohan

机构 * Shanghai Jiao Tong University（上海交通大学）； Yale University（耶鲁大学）； NYU Shanghai（纽约大学上海分校）； TCS Research（TCS研究）

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

2511.13987 2025-11-19 cs.AI 70%

Artificial Intelligence Agents in Music Analysis: An Integrative Perspective Based on Two Use Cases

Antonio Manuel Martínez-Heredia, Dolores Godrid Rodríguez, Andrés Ortiz García

机构 * Dpto. Ingeniería de Comunicaciones, Universidad de Málaga, Campus de Teatinos（通信工程系，马拉加大学，泰蒂诺校区）； Universidad Rey Juan Carlos（雷乌安卡洛斯大学）

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

Comments Extended version of the conference paper presented at SATMUS 2025

2504.10240 2025-11-19 cs.AR cs.LG 67%

Graph Neural Networks Based Analog Circuit Link Prediction

Guanyuan Pan, Tiansheng Zhou, Jianxiang Zhao, Zhi Li, Yugui Lin, Bingtao Ma, Yaqi Wang, Pietro Liò, Shuai Wang

机构 * HDU-ITMO Joint Institute, Hangzhou Dianzi University（杭州电子科技大学信息处理联合研究所）； Intelligent Information Processing Laboratory, Hangzhou Dianzi University（杭州电子科技大学智能信息处理实验室）； Innovation Center for Electronic Design Automation Technology, Hangzhou Dianzi University（杭州电子科技大学电子设计自动化技术创新中心）； School of Computer Science and Technology, South China Business College, Guangdong University of Foreign Studies（广东外语外贸大学南方商学院计算机科学与技术学院）； Department of Computer Science and Technology, University of Cambridge（剑桥大学计算机科学与技术系）

专题命中 RAG评测：retrieval-augmented generation(abstract)；RAG(abstract)

Comments Code and data will be made available on request to the corresponding author

Journal ref Pan, G., Zhou, T., Zhao, J., Li, Z., Lin, Y., Ma, B., ... & Wang, S. (2026). Graph Neural Networks Based Analog Circuit Link Prediction. Engineering Applications of Artificial Intelligence, 163, 113035

1. RAG评测 6 篇