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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。

2025-11-20 至 2025-11-20 共收录 3 信号源:cs.IR, cs.CL, cs.AI, cs.DB

1. 图谱与结构化RAG 3 篇

2511.14765 2025-11-20 cs.IR cs.AI cs.CL 85%

Optimizing Agricultural Research: A RAG-Based Approach to Mycorrhizal Fungi Information

Mohammad Usman Altam, Md Imtiaz Habib, Tuan Hoang

机构 * Data Science and Artificial Intelligence Université Côte d’Azur(数据科学与人工智能 巴黎-萨克雷大学)

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

Comments 10 pages, 4 figures, 1 table

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2511.14010 2025-11-20 cs.CL cs.AI 62%

Knowledge-Grounded Agentic Large Language Models for Multi-Hazard Understanding from Reconnaissance Reports

Chenchen Kuai, Zihao Li, Braden Rosen, Stephanie Paal, Navid Jafari, Jean-Louis Briaud, Yunlong Zhang, Youssef M. A. Hashash, Yang Zhou

机构 * organization= Department One , addressline= Address One , city= City One , postcode= 00000 , state= State One , country= Country One organization= Department Two , addressline= Address Two , city= City Two , postcode= 22222 , state= State Two , country= Country Two organization= Zachry Department of Civil \& Environmental Engineering, Texas A\&M University , addressline= 3136 TAMU , city= College Station , postcode= 77843 , state= TX , country= USA organization= Department of Engineering Technology Industrial Distribution, Texas A\&M University , city= College Station , postcode= 77843 , state= TX , country= USA organization= Department of Civil Environmental Engineering, University of Illinois Urbana-Champaign , city= Urbana , postcode= 61801 , state= IL , country= USA

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

Comments 17 pages, 5 figures

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2511.15633 2025-11-20 cs.CV cs.LG 50%

Hierarchical Semantic Tree Anchoring for CLIP-Based Class-Incremental Learning

基于CLIP的层次语义树锚定的类增量学习

Tao Hu, Lan Li, Zhen-Hao Xie, Da-Wei Zhou

机构 * School of Artificial Intelligence, Nanjing University(人工智能学院,南京大学) State Key Laboratory for Novel Software Technology, Nanjing University(新型软件技术国家重点实验室,南京大学)

专题命中 图谱与结构化RAG :retriever(abstract)

AI总结 HASTEN通过层次语义树锚定方法,有效解决CLIP类增量学习中的灾难性遗忘问题,提升模型对层次化类别结构的保持能力。

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