SA-OOSC: A Multimodal LLM-Distilled Semantic Communication Framework for Enhanced Coding Efficiency with Scenario Understanding
专题命中 效率与部署 :LLM(title);large language model(abstract);language model(abstract)
AI 大模型
大语言模型、预训练、指令微调、后训练和语言模型应用。
专题命中 效率与部署 :LLM(title);large language model(abstract);language model(abstract)
机构 * Department of Mechanical and Aerospace Engineering, Tandon School of Engineering, New York University(机械与航空航天工程系,坦顿工程学院,纽约大学) ; GenAuto.ai by General Autonomy Inc.(General Autonomy Inc. 的 GenAuto.ai)
专题命中 效率与部署 :language model(title,abstract);large language model(abstract)
机构 * College of Computing and Data Science, Nanyang Technological University(computing and Data Science学院,南洋理工大学) ; School of Electrical and Electronic Engineering, Nanyang Technological University(Electrical and Electronic Engineering学院,南洋理工大学) ; School of Artificial Intelligence, Wuhan University(Artificial Intelligence学院,武汉大学) ; ByteDance(字节跳动)
专题命中 效率与部署 :language model(title,abstract);large language model(abstract)
Comments Extended version of our conference paper arXiv:2410.09855
专题命中 效率与部署 :LLM(title);large language model(abstract);language model(abstract)
Comments 9 pages, 3 figures, 1 table
机构 * Department of Electrical and Electronic Engineering, Imperial College London(帝国理工学院电子与电气工程系)
专题命中 效率与部署 :foundation model(title,abstract);pretraining(abstract)
Comments Published as a conference paper at IEEE 35th Workshop on Machine Learning for Signal Processing (MLSP)
机构 * Honda Research Institute Europe, Germany(本田欧洲研究机构)
专题命中 效率与部署 :LLM(title);large language model(abstract);language model(abstract)
机构 * Stevens Institute of Technology(史蒂文斯理工学院)
专题命中 效率与部署 :language model(title,abstract);分类 cs.CL、cs.AI、cs.LG
机构 * UCL Hawkes Insitute, University College London Dept. of Medical Physics \& Biomedical Engineering, University College London Division of Surgery \& Interventional Science, University College London Centre of Medical Imaging, University College London Department of Radiology, UCLH NHS Foundation Trust Department of Urology, UCLH NHS Foundation Trust Department of Computer Science, University College London
专题命中 效率与部署 :foundation model(title,abstract);pretraining(abstract)
Comments This paper was accepted to the 1st MICCAI Workshop on Efficient Medical AI (EMA4MICCAI2025) and selected for oral presentation
机构 * MIT(麻省理工学院) ; ETH Zürich(苏黎世联邦理工学院) ; McGill(麦吉尔大学) ; Canada CIFAR AI Chair(加拿大 CIFAR 人工智能主席) ; Mila(蒙特利尔人工智能研究院) ; Johns Hopkins(约翰霍普金斯大学) ; Yale(耶鲁大学) ; CHI FRO
专题命中 效率与部署 :language model(title,abstract);分类 cs.CL、cs.AI、cs.LG
Comments COLM 2025
机构 * ByteDance Intelligent Creation(字节跳动智能创作)
专题命中 效率与部署 :language model(title,abstract);large language model(abstract)
机构 * School of Computer Science and Engineering, Chung-Ang University(Chung-Ang 大学计算机科学与工程学院) ; School of Computer Science, University of Birmingham(布拉德福德大学计算机科学学院)
专题命中 效率与部署 :language model(title,abstract);large language model(abstract)
Comments Accepted to ICCV 2025
专题命中 效率与部署 :LLM(title);large language model(abstract);language model(abstract)
Comments 15 pages, 8 figures. Published at the 7th ACM Conference on Conversational User Interfaces (CUI '25), July 8-10, 2025, Waterloo, Canada. Open-source code available at https://github.com/ISUE/iva-cui
Journal ref Proceedings of the 7th ACM Conference on Conversational User Interfaces (CUI '25), 2025, Article 49, 1-15
机构 * School of Artificial Intelligence and the National Engineering Laboratory of Big Data System Computing Technology, Shenzhen University(人工智能学院和大数据系统计算技术国家工程实验室,深圳大学) ; School of Biomedical Engineering, Shenzhen University Medical School(生物医学工程学院,深圳大学医学院)
专题命中 效率与部署 :LLM(title,abstract);language model(abstract)
Comments 11 pages, 7 figures
专题命中 效率与部署 :language model(title,abstract);LLM(abstract)
Comments Accepted by ICCV 2025
专题命中 效率与部署 :LLM(title);large language model(abstract);language model(abstract)
机构 * Tsinghua University(清华大学) ; Shanghai Jiao Tong University(上海交通大学) ; Huawei Company(华为公司)
专题命中 效率与部署 :LLM(title,abstract);分类 cs.CL、cs.AI、cs.LG
专题命中 效率与部署 :LLM(title);large language model(abstract);language model(abstract)
Comments IEEE VIS 2025. Project Page: https://nli4volvis.github.io/
Journal ref IEEE Transactions on Visualization and Computer Graphics (TVCG), vol. 32, no. 1, 2026
专题命中 效率与部署 :LLM(title,abstract);preference optimization(abstract)
Comments Accepted by VLDB 2025 Industrial Track
机构 * University of Chicago(芝加哥大学) ; Microsoft(微软公司)
专题命中 效率与部署 :LLM(title,abstract);分类 cs.CL、cs.AI、cs.LG
专题命中 效率与部署 :LLM(title);large language model(abstract);language model(abstract)
机构 * School of Information and Technology, Northwest University(信息与技术学院,西北大学)
专题命中 效率与部署 :language model(title,abstract);large language model(abstract)
Comments 21 pages, 8 figures
专题命中 效率与部署 :foundation model(title,abstract);language model(abstract)
机构 * MoE Key Lab of Artificial Intelligence, AI Institute Shanghai Jiao Tong University(人工智能大模型关键实验室,上海交通大学AI研究院)
专题命中 效率与部署 :language model(title,abstract);large language model(abstract)
Comments Accepted by ICCV2025
专题命中 效率与部署 :LLM(title);large language model(abstract);language model(abstract)
专题命中 效率与部署 :LLM(title,abstract);language model(abstract)
Comments Annual Conference of The Institute of Electronics and Information Engineers
机构 * College of Big Data and Internet, Shenzhen Technology University, China(大数据与互联网学院,深圳科技大学,中国) ; Sino-German College of Intelligent Manufacturing, Shenzhen Technology University, China(中德智能制造学院,深圳科技大学,中国) ; Robotics Department, Institute of Smart Systems and Artificial Intelligence (ISSAI), Nazarbayev University, Kazakhstan(机器人系,智能系统与人工智能研究所(ISSAI),纳扎尔巴耶夫大学,哈萨克斯坦) ; Foundation Robotics Labs, Germany(基础机器人实验室,德国)
专题命中 效率与部署 :language model(title,abstract);prompting(abstract)
Comments This paper has been accepted by the 2025 International Conference on Climbing and Walking Robots (CLAWAR). These authors contributed equally to this work: Zexiang Guo, Hengxiang Chen, Xinheng Mai
专题命中 效率与部署 :foundation model(title,abstract);pretraining(abstract)
Comments After an initial submission, we recognized the need to conduct additional experiments to strengthen the validity. Furthermore, we aim to incorporate comprehensive feedback from all co-authors to ensure the work reflects a unified and thoroughly vetted perspective. These steps are essential to uphold the quality and integrity of the research before resubmission or formal publication
机构 * Huazhong University of Science and Technology(华中科技大学) ; Ping An Technology (Shenzhen) Co., Ltd(平安科技(深圳)有限公司)
专题命中 效率与部署 :LLM(title);large language model(abstract);language model(abstract)
Comments Accepted by the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025)
专题命中 效率与部署 :language model(title,abstract);分类 cs.CL、cs.AI、cs.LG
机构 * UCSD(加州大学圣地亚哥分校) ; Peking University(北京大学)
专题命中 效率与部署 :language model(title,abstract);分类 cs.CL、cs.AI、cs.LG