LLM-I: LLMs are Naturally Interleaved Multimodal Creators
机构 * Zhejiang University(浙江大学)
专题命中 多模态生成 :multimodal(title);MLLM(abstract);image-text(abstract);分类 cs.CV
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。
机构 * Zhejiang University(浙江大学)
专题命中 多模态生成 :multimodal(title);MLLM(abstract);image-text(abstract);分类 cs.CV
机构 * Shenzhen Technology University(深圳科技大学) ; University of Washington(华盛顿大学) ; Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences(深圳先进技术研究院,中国科学院)
专题命中 多模态生成 :multimodal(title,abstract);分类 cs.CV、cs.AI
Comments 13 pages,12 figures
机构 * Department of Industrial and Systems Engineering (ISE), Indian Institute of Technology (IIT) Kharagpur(工业与系统工程系,印度理工学院Kharagpur分校)
专题命中 多模态生成 :multi-modal(title);分类 cs.AI
Comments Major changes in version II: 1) Supplementary is now a separate document, 2) Algorithm steps have been updated with pseudocode in the Heuristic, 3) Explanation of the MILP formulation construction is further detailed in a supplementary section
机构 * Future Robotics Organization, Waseda University(早稻田大学未来机器人组织) ; Microsoft Research Asia(微软亚洲研究院) ; Department of Modern Mechanical Engineering, Waseda University(早稻田大学现代机械工程系) ; Artificial Intelligence Laboratories, Fujitsu Limited(Fujitsu 人工智能实验室) ; Center for Technology Innovation - Controls and Robotics, Research & Development Group, Hitachi, Ltd.(富士通技术研发集团技术创新中心 - 控制与机器人) ; Faculty of Science and Engineering, Waseda University(早稻田大学工学部) ; National Institute of Advanced Science and Technology(国家先进科学研究院)
专题命中 多模态生成 :multimodal(title)
Comments Humanoids2025
机构 * Korea University(韩国大学)
专题命中 多模态生成 :multi-modal(abstract);分类 cs.CV
机构 * German Research Center for Artificial Intelligence (DFKI)(德国人工智能研究中心) ; Technical University Berlin(柏林技术大学)
专题命中 多模态生成 :multimodal(abstract);分类 cs.CL
Comments Presented and published at BioCreative IX