EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models
机构 * Shanghai AI Laboratory(上海人工智能实验室) ; Ant Group(蚂蚁集团)
专题命中 多模态训练与对齐 :multimodal(title);multi-modal(abstract);分类 cs.CL
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 * Shanghai AI Laboratory(上海人工智能实验室) ; Ant Group(蚂蚁集团)
专题命中 多模态训练与对齐 :multimodal(title);multi-modal(abstract);分类 cs.CL
机构 * Show Lab, National University of Singapore(1 显示实验室,新加坡国立大学) ; ByteDance(2 字节跳动)
专题命中 多模态训练与对齐 :multimodal(title,abstract);分类 cs.CV
机构 * College of Electronic Engineering, Naval University of Engineering(电子工程学院,海军工程大学) ; College of Meteorology and Oceanography, National University of Defense Technology(气象海洋学院,国防科技大学) ; College of Computer Science and Technology, National University of Defense Technology(计算机科学与技术学院,国防科技大学) ; Department of Computer Science and Technology, Tsinghua University(计算机科学与技术系,清华大学)
专题命中 多模态训练与对齐 :cross-modal(title,abstract);分类 cs.CV
专题命中 多模态训练与对齐 :multimodal(title,abstract);分类 cs.CV
机构 * State Key Laboratory of Robotics and Systems, Harbin Institute of Technology(机器人系统国家重点实验室,哈尔滨工业大学)
专题命中 多模态训练与对齐 :multimodal(title,abstract);分类 cs.CV
专题命中 多模态训练与对齐 :multimodal(title,abstract);分类 cs.AI
Comments Under review for Nature Scientific Reports
机构 * East China Normal University(东华师范大学) ; Shanghai Jiao Tong University(上海交通大学) ; Wenzhou University(温州大学) ; Huawei Technologies Ltd(华为技术有限公司)
专题命中 多模态训练与对齐 :multimodal(title,abstract);分类 cs.CV
机构 * School of Informatics, Xiamen University, China(厦门大学信息学院) ; Baidu Inc., Beijing, China(百度公司) ; Key Laboratory of Digital Protection and Intelligent Processing of Intangible Cultural Heritage of Fujian and Taiwan (Xiamen University), Ministry of Culture and Tourism, China(福建省和台湾非物质文化遗产数字化保护与智能处理重点实验室) ; Shanghai Artificial Intelligence Laboratory(上海人工智能实验室)
专题命中 多模态训练与对齐 :multi-modal(title,abstract);分类 cs.CL
机构 * Department of Artificial Intelligence, Korea University(韩国大学人工智能系) ; Department of Artificial Intelligence, UNIST(UNIST人工智能系) ; Kim Jaechul Graduate School of AI, KAIST(韩国科学技术院人工智能研究生院) ; LG AI Research(LG人工智能研究) ; Department of Statistics, Korea University(韩国大学统计系)
专题命中 多模态训练与对齐 :multimodal(title,abstract);分类 cs.AI
Comments 9 pages, 5 figures
专题命中 多模态训练与对齐 :multimodal(title,abstract);分类 cs.AI
专题命中 多模态训练与对齐 :multi-modal(title,abstract);分类 cs.AI
专题命中 多模态训练与对齐 :multimodal(title,abstract);分类 cs.MM
Comments Accepted by IEEE Transactions on Multimedia
专题命中 多模态训练与对齐 :multimodal(title,abstract);分类 cs.CL
专题命中 多模态训练与对齐 :multimodal(title);image-text(abstract);分类 cs.CV
Comments We are currently revising the methodology described in the manuscript to improve its clarity. We have decided to withdraw the current version until a more robust and complete version is ready
机构 * Interdisciplinary Research Center for Finance and Digital Economy, King Fahd University of Petroleum and Minerals(金融与数字经济交叉研究中心,国王法赫德石油和矿物大学) ; Department of Software Engineering, Faculty of Information Technology, Al-Ahliyya Amman University(软件工程系,信息科技学院,阿尔阿赫利亚大学) ; Department of Information Systems and Operations Management, King Fahd University of Petroleum and Minerals(信息系统与运营管理系,国王法赫德石油和矿物大学) ; ADAPT Research Centre, School of Computer Science, University of Galway(ADAPT研究中心,计算机科学学院,Galway大学) ; Department of Mechanical and Nuclear Engineering, Khalifa University(机械与核工程系,哈利法大学)
专题命中 多模态训练与对齐 :multi-modal(title,abstract);分类 cs.CV
Comments computerized medical imaging and graphics Journal submission
机构 * Faculty of Computing, Harbin Institute of Technology(哈尔滨工业大学计算机学院) ; School of Software, Tsinghua University(清华大学软件学院) ; School of Computer Science and Engineering, UNSW Sydney(新南威尔士大学计算机科学与工程学院)
专题命中 多模态训练与对齐 :multimodal(title,abstract);分类 cs.CV
Comments accepted by IJCAI2025 Code: https://github.com/MCPathology/MRePath
专题命中 多模态训练与对齐 :multimodal(title,abstract);分类 cs.CV
Comments The manuscript was submitted without proper consideration of institutional policies. Upon review with professor, it was found that the content is subject to licensing restrictions which prohibit public dissemination in its current form. Therefore, I am withdrawing the paper to comply with these requirements
机构 * Zhejiang University(浙江大学)
专题命中 多模态训练与对齐 :cross-modal(title,abstract);分类 cs.AI
机构 * Kai Zhang 1(某机构) ; Xingyu Chen 3(某机构) ; Xiaofeng Zhang 2(某机构)
专题命中 多模态训练与对齐 :multimodal(title,abstract);分类 cs.CV
机构 * Department of Computer Science(计算机科学系) ; The Chinese University of Hong Kong(香港中文大学) ; Gaoling School of Artificial Intelligence(九龙人工智能学院) ; Renmin University of China(中国人民大学) ; AWS AI Amazon(AWS人工智能亚马逊) ; University of North Carolina at Chapel Hill(北卡罗来纳大学教堂山分校)
专题命中 多模态训练与对齐 :multimodal(title,abstract);分类 cs.AI
Comments 17 pages, 16 figures
机构 * University of North Carolina Chapel Hill(北卡罗来纳大学教堂山分校) ; University of Illinois Urbana-Champaign(伊利诺伊大学厄巴纳-香槟分校) ; Massachusetts Institute of Technology(麻省理工学院) ; University of Massachusetts Amherst(马萨诸塞大学阿默斯特分校) ; Hong Kong University of Science and Technology(香港科学与技术大学)
专题命中 多模态训练与对齐 :multimodal(title,abstract);分类 cs.CV
Comments ACL Findings 2025
机构 * Fudan University(复旦大学) ; University of Cambridge(剑桥大学) ; Shanghai Artificial Intelligence Laboratory(上海人工智能实验室) ; The Hong Kong University of Science and Technology (Guangzhou)(香港科技大学(广州)) ; Fuzhou University(福州市大学) ; Shanghai Jiao Tong University(上海交通大学)
专题命中 多模态训练与对齐 :multi-modal(title,abstract);分类 cs.CV
Comments Early accepted by MICCAI 2025
专题命中 多模态训练与对齐 :multimodal(title,abstract);分类 cs.CL
Comments 6 pages, 5 figures, 2 tables
机构 * AI and Cyber Futures Institute, Charles Sturt University, Australia(人工智能与网络未来研究所,查尔斯·斯特劳特大学,澳大利亚) ; Rural Health Research Institute, Charles Sturt University, Australia(农村健康研究研究所,查尔斯·斯特劳特大学,澳大利亚) ; School of Computer Science and Engineering, Macau University of Science and Technology, Macao(计算机科学与工程学院,澳门科学技术大学,澳门)
专题命中 多模态训练与对齐 :multimodal(title,abstract);分类 cs.CV
机构 * Artificial Intelligence Institute, University of South Carolina(南卡罗来纳大学人工智能研究所) ; Clemson Composites Center, Clemson University(克莱姆森大学复合材料中心) ; Intelligent Circuits, Architectures and Systems Lab, University of South Carolina(南卡罗来纳大学智能电路、架构和系统实验室)
专题命中 多模态训练与对齐 :multimodal(title,abstract);分类 cs.AI
Comments 9 pages, 7 figures, 2 tables, IJCAI 2025 (International Joint Conferences on Artificial Intelligence) Special Track on AI4Tech: AI Enabling Critical Technologies
机构 * Institute of Information Engineering, Chinese Academy of Sciences(中国科学院信息工程研究所) ; School of Cyberspace Security, University of Chinese Academy of Sciences(中国科学院大学网络空间安全学院) ; Beijing Academy of Artificial Intelligence(北京人工智能研究院) ; Xidian University(西安电子科技大学) ; Renmin University of China(中国人民大学)
专题命中 多模态训练与对齐 :multi-modal(title,abstract);分类 cs.AI
Comments Accepted by IEEE Transactions on Image Processing (TIP) 2025
机构 * Stanford University(斯坦福大学) ; Georgetown University(乔治城大学) ; Johns Hopkins University(约翰霍普金斯大学) ; UC Berkeley(伯克利大学) ; BYU
专题命中 多模态训练与对齐 :multimodal(title,abstract);分类 cs.CV
机构 * Google Deepmind(谷歌DeepMind)
专题命中 多模态训练与对齐 :multimodal(title,abstract);分类 cs.AI
机构 * IBM Research-Israel(IBM研究以色列分公司) ; IBM TJ Watson Research Center(IBM TJ Watson研究中心) ; Faculty of Biomedical Engineering(生物医学工程学院)
专题命中 多模态训练与对齐 :multi-modal(title,abstract);分类 cs.AI
机构 * Indian Institute of Technology Jodhpur(印度理工学院朱道尔分校) ; Indian Institute of Technology Delhi(印度理工学院德里)
专题命中 多模态训练与对齐 :multi-modal(title,abstract);分类 cs.CV