arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~

AI 大模型

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。

2025-08-25 至 2025-08-25 共收录 12 信号源:cs.IR, cs.CL, cs.AI, cs.DB

1. 检索器与排序 6 篇

2508.15854 2025-08-25 cs.CL 83%

QU-NLP at QIAS 2025 Shared Task: A Two-Phase LLM Fine-Tuning and Retrieval-Augmented Generation Approach for Islamic Inheritance Reasoning

Mohammad AL-Smadi

机构 * Qatar University(卡塔尔大学)

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

详情

展开后加载摘要…

URL PDF HTML 收藏
2508.16577 2025-08-25 cs.CV cs.AI 80%

MV-RAG: Retrieval Augmented Multiview Diffusion

Yosef Dayani, Omer Benishu, Sagie Benaim

机构 * Hebrew University of Jerusalem(耶路撒冷希伯来大学)

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

Comments Project page: https://yosefdayani.github.io/MV-RAG

详情

展开后加载摘要…

URL PDF HTML 收藏
2508.16379 2025-08-25 cs.IT eess.SP math.IT 67%

Agentic AI Empowered Multi-UAV Trajectory Optimization in Low-Altitude Economy Networks

Feibo Jiang, Li Dong, Xitao Pan, Kezhi Wang, Cunhua Pan

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

详情

展开后加载摘要…

URL PDF HTML 收藏
2508.15820 2025-08-25 cs.CL cs.AI cs.IR 67%

Research on intelligent generation of structural demolition suggestions based on multi-model collaboration

Zhifeng Yang, Peizong Wu

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

详情

展开后加载摘要…

URL PDF HTML 收藏
2507.02128 2025-08-25 cs.LG 67%

CROP: Circuit Retrieval and Optimization with Parameter Guidance using LLMs

Jingyu Pan, Isaac Jacobson, Zheng Zhao, Tung-Chieh Chen, Guanglei Zhou, Chen-Chia Chang, Vineet Rashingkar, Yiran Chen

机构 * Electrical and Computer Engineering, Duke University(电气与计算机工程系,杜克大学) Synopsys Inc.(Synopsys公司)

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

Comments Accepted by ICCAD 2025

详情

展开后加载摘要…

URL PDF HTML 收藏
2508.15805 2025-08-25 cs.CL cs.AI cs.LG 62%

ALAS: Autonomous Learning Agent for Self-Updating Language Models

Dhruv Atreja

机构 * Dhruv Atreja(独立研究者)

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

详情

展开后加载摘要…

URL PDF HTML 收藏

2. 知识库问答 3 篇

2508.15849 2025-08-25 cs.CL cs.IR 84%

MedCoT-RAG: Causal Chain-of-Thought RAG for Medical Question Answering

Ziyu Wang, Elahe Khatibi, Amir M. Rahmani

机构 * University of California, Irvine(加州大学 Irvine 分校)

专题命中 知识库问答 :RAG(title,abstract);retrieval-augmented generation(abstract);分类 cs.IR、cs.CL

详情

展开后加载摘要…

URL PDF HTML 收藏
2502.10868 2025-08-25 cs.CL 70%

NitiBench: A Comprehensive Study of LLM Framework Capabilities for Thai Legal Question Answering

Pawitsapak Akarajaradwong, Pirat Pothavorn, Chompakorn Chaksangchaichot, Panuthep Tasawong, Thitiwat Nopparatbundit, Keerakiat Pratai, Sarana Nutanong

机构 * VISAI AI(VISAI人工智能) Vidyasirimedhi Institute of Science and Technology(维达亚西米德希科学与技术研究院) Faculty of Law, Thammasat University(朱拉隆功大学法学院)

专题命中 知识库问答 :retrieval-augmented generation(abstract);RAG(abstract);分类 cs.CL

详情

展开后加载摘要…

URL PDF HTML 收藏
2412.17032 2025-08-25 cs.CL 57%

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge

Jie He, Nan Hu, Wanqiu Long, Jiaoyan Chen, Jeff Z. Pan

机构 * School of Informatics, University of Edinburgh, UK(爱丁堡大学信息学院) Southeast University, Nanjing, Jiangsu, China(东南大学) University of Manchester, UK(曼彻斯特大学)

专题命中 知识库问答 :retrieval-augmented generation(abstract);分类 cs.CL

详情

展开后加载摘要…

URL PDF HTML 收藏

3. 图谱与结构化RAG 2 篇

2508.16445 2025-08-25 cs.SE 67%

Using LLMs and Essence to Support Software Practice Adoption

Sonia Nicoletti, Paolo Ciancarini

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

详情

展开后加载摘要…

URL PDF HTML 收藏
2404.19744 2025-08-25 cs.CR cs.AI 57%

PrivComp-KG : Leveraging Knowledge Graph and Large Language Models for Privacy Policy Compliance Verification

Leon Garza, Lavanya Elluri, Anantaa Kotal, Aritran Piplai, Deepti Gupta, Anupam Joshi

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

详情

展开后加载摘要…

URL PDF HTML 收藏

4. RAG评测 1 篇

2508.15817 2025-08-25 cs.CL cs.CY 70%

Meet Your New Client: Writing Reports for AI -- Benchmarking Information Loss in Market Research Deliverables

Paul F. Simmering, Benedikt Schulz, Oliver Tabino, Georg Wittenburg

机构 * Agentur für Forschung GmbH(研究机构) Inspirient GmbH(研究机构)

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

Comments 16 pages, 4 figures, 3 tables

详情

展开后加载摘要…

URL PDF HTML 收藏