Multi-Agent Multimodal Large Language Model Framework for Automated Interpretation of Fuel Efficiency Analytics in Public Transportation
专题命中 多模态Agent :multimodal(title,abstract);分类 cs.AI
Journal ref Applied Sciences, 2025, 15(21), 11619
AI 大模型
跨文本、图像、视频、音频等模态的大模型与学习方法。
专题命中 多模态Agent :multimodal(title,abstract);分类 cs.AI
Journal ref Applied Sciences, 2025, 15(21), 11619
机构 * School of Artificial Intelligence, Anhui University, Hefei, China(人工智能学院,安徽大学,合肥,中国) ; School of Computer Science(计算机科学学院) ; School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China(计算机科学与技术学院,北京理工大学,北京,中国)
专题命中 多模态Agent :multimodal(title,abstract);分类 cs.CL
专题命中 多模态Agent :multimodal(title,abstract);分类 cs.CL
Comments accepted by AAAI 2026 (Oral)
专题命中 多模态Agent :multimodal(abstract);分类 cs.CV、cs.AI
Comments AAAI 2026 (oral)
机构 * MAIS, Institute of Automation, Chinese Academy of Sciences, China(自动化研究所,中国科学院,中国) ; School of Artificial Intelligence, University of Chinese Academy of Sciences, China(中国科学院大学人工智能学院,中国) ; Alibaba Group(阿里巴巴集团)
专题命中 多模态Agent :multimodal(abstract);分类 cs.AI
专题命中 多模态Agent :multi-modal(abstract)
专题命中 多模态Agent :multimodal(abstract)
Comments Paper accepted to TMLR 2025, Project Homepage: https://github.com/PhoneLLM/Awesome-LLM-Powered-Phone-GUI-Agents