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RAG / 检索增强生成

检索增强生成、向量检索、知识库问答和面向大模型的搜索系统。

2025-10-23 至 2025-10-23 共收录 2 信号源:cs.IR, cs.CL, cs.AI, cs.DB

1. 多模态RAG 2 篇

2504.00939 2025-10-23 cs.CV cs.CL 70%

WikiVideo: Article Generation from Multiple Videos

Alexander Martin, Reno Kriz, William Gantt Walden, Kate Sanders, Hannah Recknor, Eugene Yang, Francis Ferraro, Benjamin Van Durme

机构 * Johns Hopkins University(约翰霍普金斯大学) Human Language Technology Center of Excellence(人机语言技术卓越中心) University of Maryland Baltimore County(马里兰大学巴尔的摩县分校)

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

Comments Repo can be found here: https://github.com/alexmartin1722/wikivideo

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2510.17150 2025-10-23 cs.RO 69%

OmniVIC: A Self-Improving Variable Impedance Controller with Vision-Language In-Context Learning for Safe Robotic Manipulation

Heng Zhang, Wei-Hsing Huang, Gokhan Solak, Arash Ajoudani

机构 * Human-Robot Interfaces and Interaction Lab, Istituto Italiano di Tecnologia, Genoa, Italy(人机交互实验室,意大利理工学院,热那亚) Georgia Institute of Technology, Atlanta, USA(佐治亚理工学院,美国亚特兰大)

专题命中 多模态RAG :RAG(abstract,comments);retrieval-augmented generation(abstract)

Comments Code, video and RAG dataset are available at \url{https://sites.google.com/view/omni-vic}

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