Benchmarking graph construction by large language models for coherence-driven inference
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);分类 cs.AI
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 :large language model(title,abstract);language model(title,abstract);分类 cs.AI
机构 * Monash University(墨尔本大学) ; Singapore Management University(新加坡管理学院)
专题命中 效率与部署 :LLM(title,abstract);large language model(abstract);language model(abstract);prompting(abstract)
Comments Accepted by ICSE'26 (First Cycle)
机构 * Department. of Math & Statistics, Boston University(数学与统计学系,波士顿大学) ; Department. of Computer Science, University at Albany(计算机科学系,阿尔巴尼大学) ; Department. of ECE & Systems Eng., Department. of Biomedical Eng., Faculty of Computing & Data Sciences, Boston University(电子工程与系统工程系,生物医学工程系,计算与数据科学学院,波士顿大学)
专题命中 效率与部署 :LLM(title,abstract);large language model(abstract);language model(abstract);prompting(abstract)
Comments 11 pages, 1 figure
专题命中 效率与部署 :LLM(title,abstract);large language model(abstract);language model(abstract);分类 cs.AI
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
专题命中 效率与部署 :language model(title,abstract);分类 cs.AI、cs.LG
机构 * Texas A\&M University, College Station, TX., USA(德克萨斯大学) ; Hamad Bin Khalifa University, Doha, Qatar(哈马德·本·卡伊夫大学)
专题命中 效率与部署 :LLM(abstract);large language model(abstract);language model(abstract);分类 cs.CL、cs.AI
Comments Under review
机构 * University of North Texas (UNT)(北卡罗来纳州立大学)
专题命中 效率与部署 :LLM(abstract);large language model(abstract);language model(abstract);分类 cs.AI、cs.LG
Comments Published in the Future Generation Computer Systems (FGCS) journal; Source code is available at: https://github.com/hpcclab/action_engine
机构 * Emobot ; CentraleSupélec ; IETR (UMR CNRS 6164)(IETR)
专题命中 效率与部署 :LLM(abstract);large language model(abstract);language model(abstract);分类 cs.LG
专题命中 效率与部署 :LLM(abstract);large language model(abstract);language model(abstract)
Comments Accepted by SC 25
机构 * New York University(纽约大学) ; Google Research, NY(谷歌研究)
专题命中 效率与部署 :large language model(abstract);language model(abstract);分类 cs.CL、cs.LG
Comments 18 pages
机构 * Ontariotechu(安大略理工学院)
专题命中 效率与部署 :large language model(abstract);language model(abstract)
Comments 6 pages, 2 figures, 1 table
机构 * Chengdu University of Information Technology(成都信息科技大学)
专题命中 效率与部署 :foundation model(abstract)
Comments 13 pages, 13 figures
专题命中 效率与部署 :prompting(abstract)
机构 * Graduate Institute of Networking and Multimedia, National Taiwan University(网络与多媒体研究所,国立台湾大学) ; Department of Computer Science and Information Engineering, National Taiwan University(计算机科学与信息工程系,国立台湾大学)
专题命中 效率与部署 :pretraining(abstract)
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Journal ref IEEE International Conference on Image Processing (ICIP) 2025 Spotlight
机构 * Leibniz University Hannover(汉诺威莱布尼茨大学) ; L3S Research Center(L3S研究中心)
专题命中 效率与部署 :language model(abstract)
专题命中 效率与部署 :LLM(abstract)
机构 * Carnegie Mellon University(卡内基梅隆大学) ; NVIDIA(英伟达) ; National Taiwan University(国立台湾大学)
专题命中 效率与部署 :pretraining(abstract)
Comments Project page: https://3d-flowmatch-actor.github.io/