Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey
边缘-云协同计算在分布式智能与模型优化中的应用:综述
Jing Liu, Yao Du, Kun Yang, Jiaqi Wu, Yan Wang, Xiping Hu, Zehua Wang, Yang Liu, Peng Sun, Azzedine Boukerche, Victor C. M. Leung
机构
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Division of Natural and Applied Sciences, Duke Kunshan University(杜克-昆山大学自然科学与应用科学系)
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Department of Electrical and Computer Engineering, The University of British Columbia(不列颠哥伦比亚大学电气与计算机工程系)
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College of Future Information Technology, Fudan University(复旦大学未来信息科技学院)
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Ant Group(蚂蚁集团)
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College of Information Science and Electronic Engineering, Zhejiang University(浙江大学信息科学与电子工程学院)
专题命中
效率与部署
:large language model(abstract);language model(abstract);分类 cs.AI、cs.LG
ProbeFlow: Training-Free Adaptive Flow Matching for Vision-Language-Action Models
ProbeFlow: 无需训练的自适应流匹配用于视觉-语言-动作模型
Zhou Fang, Jiaqi Wang, Yi Zhou, Qiongfeng Shi
机构
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School of Computer Science and Engineering, Southeast University, China(东南大学计算机科学与工程学院,中国)
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Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications, Ministry of Education, China(新一代人工智能技术及其交叉应用国家重点实验室,中华人民共和国教育部,中国)
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School of Electronic Science & Engineering, Southeast University, China(东南大学电子科学与工程学院,中国)
机构
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College of Land Science and Technology, China Agricultural University(中国农业大学土地科学与技术学院)
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Key Laboratory of Remote Sensing for Agri-Hazards, Ministry of Agriculture and Rural Affairs(农业农村部农业灾害遥感重点实验室)
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Faculty of Geosciences and Engineering, Southwest Jiaotong University(西南交通大学地质科学与工程学院)
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School of Artificial Intelligence, Sun Yat-Sen University(中山大学人工智能学院)
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Henan Polytechnic University(河南理工大学)
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Key Laboratory of Spatio-Temporal Information and Ecological Restoration of Mines, Ministry of Natural Resources of the People’s Republic of China(矿产资源时空信息与生态修复重点实验室)
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Tsinghua Shenzhen International Graduate School, Tsinghua University(清华大学深圳国际研究生院)
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National Supercomputing Center in Shenzhen, Shenzhen, China(深圳国家超算中心)
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Ministry of Education Key Laboratory for Earth System Modeling and the Department of Earth System Science, Tsinghua University(地球系统模拟教育部重点实验室和清华大学地球系统科学系)
机构
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Cancer Hospital of Dalian University of Technology, Shenyang, China(大连理工大学沈阳医院)
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School of Biomedical Engineering, Faculty of Medicine, Dalian University of Technology, Dalian, China(大连理工大学生物医学工程学院)
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Key Laboratory of Integrated Circuit and Biomedical Electronic System, Dalian University of Technology, Dalian, China(大连理工大学集成电路与生物医学电子系统重点实验室)
CommentsAccepted at IEEE ICME 2026. This arXiv version includes additional supplementary experiments and extended discussions beyond the conference version
DiffVP: Differential Visual Semantic Prompting for LLM-Based CT Report Generation
DiffVP:基于LLM的CT报告生成的微分视觉语义提示
Yuhe Tian, Kun Zhang, Haoran Ma, Rui Yan, Yingtai Li, Rongsheng Wang, Shaohua Kevin Zhou
机构
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Department of Electronic Engineering
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Information Science, School of Information Science
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Technology, University of Science
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Technology of China (USTC), Hefei, Anhui 230026, China School of Biomedical Engineering, Division of Life Sciences
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Medicine, University of Science
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Technology of China (USTC), Hefei, Anhui 230026, China Center for Medical Imaging, Robotics, Analytic Computing \& Learning (MIRACLE), Suzhou Institute for Advanced Research, University of Science
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Technology of China (USTC), Suzhou, Jiangsu 215123, China Jiangsu Provincial Key Laboratory of Multimodal Digital Twin Technology, University of Science
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Technology of China (USTC), Suzhou, Jiangsu 215123, China State Key Laboratory of Precision
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Intelligent Chemistry, University of Science
专题命中
领域大模型
:LLM(title,abstract);prompting(title,abstract);large language model(abstract);language model(abstract)
CommentsAfter further evaluation, we have decided to withdraw the current version of this manuscript for further revision. We plan to add new experiments, improve the writing and overall presentation for greater clarity and coherence, and re-examine the dataset and related descriptions to ensure rigor and reliability before submitting an updated version
A Unified Language Model for Large Scale Search, Recommendation, and Reasoning
大规模检索、推荐与推理的统一语言模型
Marco De Nadai, Edoardo D'Amico, Max Lefarov, Alexandre Tamborrino, Divita Vohra, Mark VanMiddlesworth, Shawn Lin, Jacqueline Wood, Jan Stypka, Eliza Klyce, Keshi Dai, Timothy Christopher Heath, Martin D. Gould, Yves Raimond, Sandeep Ghael, Tony Jebara, Andreas Damianou, Vladan Radosavljevic, Paul N. Bennett, Mounia Lalmas, Praveen Chandar
Tabular LLMs for Interpretable Few-Shot Alzheimer's Disease Prediction with Multimodal Biomedical Data
用于多模态生物医学数据的可解释少样本阿尔茨海默病预测的表格LLMs
Sophie Kearney, Shu Yang, Zixuan Wen, Weimin Lyu, Bojian Hou, Duy Duong-Tran, Tianlong Chen, Jason H. Moore, Marylyn D. Ritchie, Chao Chen, Li Shen
机构
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University of Pennsylvania(宾夕法尼亚大学)
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Stony Brook University(石溪大学)
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University of North Carolina at Chapel Hill(北卡罗来纳大学教堂山分校)
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Medical University of South Carolina(南卡罗来纳医科大学)
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Cedars-Sinai Medical Center(西格拉姆山医疗中心)
专题命中
领域大模型
:LLM(abstract);large language model(abstract);language model(abstract);分类 cs.CL、cs.LG