RAG / 检索增强生成

MMORE: Massive Multimodal Open RAG & Extraction

Alexandre Sallinen, Stefan Krsteski, Paul Teiletche, Marc-Antoine Allard, Baptiste Lecoeur, Michael Zhang, Fabrice Nemo, David Kalajdzic, Matthias Meyer, Mary-Anne Hartley

机构 * École Polytechnique Fédérale de Lausanne (EPFL), Switzerland（瑞士联邦理工学院洛桑校区） ； ETH Zürich, Switzerland（瑞士苏黎世联邦理工学院） ； T.H. Chan School of Public Health, Harvard University, USA（哈佛大学T.H. Chan公共卫生学院） 纠错

专题命中 多模态RAG ：RAG(title,abstract)；分类 cs.AI

Comments This paper was originally submitted to the CODEML workshop for ICML 2025. 9 pages (including references and appendices)

Intelligent Reservoir Decision Support: An Integrated Framework Combining Large Language Models, Advanced Prompt Engineering, and Multimodal Data Fusion for Real-Time Petroleum Operations

Seyed Kourosh Mahjour, Seyed Saman Mahjour

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

STASE: A spatialized text-to-audio synthesis engine for music generation

Tutti Chi, Letian Gao, Yixiao Zhang

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

Comments Accepted to LLM4Music @ ISMIR 2025