WebArXiv: Evaluating Multimodal Agents on Time-Invariant arXiv Tasks
机构 * University of Technology Sydney(悉尼技术大学)
专题命中 评测与基准 :large language model(abstract);language model(abstract);分类 cs.AI
Comments 10 pages, 9 figures, 4 tables
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。
机构 * University of Technology Sydney(悉尼技术大学)
专题命中 评测与基准 :large language model(abstract);language model(abstract);分类 cs.AI
Comments 10 pages, 9 figures, 4 tables
专题命中 评测与基准 :large language model(abstract);language model(abstract);分类 cs.LG
机构 * Department of Computer Science and Engineering, University of West Bohemia in Pilsen(西波希米亚大学信息科学与工程系) ; New Technologies for the Information Society, University of West Bohemia in Pilsen(西波希米亚大学信息社会新技术研究所)
专题命中 评测与基准 :large language model(abstract);language model(abstract);分类 cs.CL
Comments Published in Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025). Official version: https://aclanthology.org/2025.semeval-1.31/
机构 * Arizona State University(亚利桑那州立大学)
专题命中 评测与基准 :large language model(abstract);language model(abstract);分类 cs.LG
Comments The paper was accepted on the CIKM 2025
专题命中 评测与基准 :large language model(abstract);language model(abstract)
机构 * Department of Computer Science and Engineering, Hong Kong University of Science and Technology(计算机科学与工程系,香港科学理工大学)
专题命中 评测与基准 :large language model(abstract);language model(abstract)
Comments Accepted to IEEE TMI
机构 * Shanghai Artificial Intelligence Laboratory(上海人工智能实验室) ; Sun Yat-sen University(中山大学) ; CUHK MMLab(香港中文大学多模态实验室) ; Peking University(北京大学)
专题命中 评测与基准 :foundation model(abstract);分类 cs.CL、cs.AI
Comments 19 pages, 8 figures
专题命中 评测与基准 :foundation model(abstract);分类 cs.AI、cs.LG
Comments 17 pages, 9 figures
机构 * Hebrew University of Jerusalem(耶路撒冷希伯来大学) ; OriginAI ; Bar-Ilan University(巴伊兰大学)
专题命中 评测与基准 :language model(abstract);分类 cs.LG
Comments Project page is available at https://daviddinkevich.github.io/Story2Board/
机构 * January AI
专题命中 评测与基准 :language model(abstract);分类 cs.AI
机构 * BASIRA Lab, Imperial-X (I-X) and Department of Computing, Imperial College London(BASIRA实验室、Imperial-X(I-X)及帝国理工学院计算机系)
专题命中 评测与基准 :language model(abstract);分类 cs.LG
机构 * Structural Molecular Biology, Division of Biosciences, University College London(伦敦大学学院生物结构分子生物学系) ; Institute of Computational Life Sciences, Zürich University of Applied Sciences (ZHAW)(苏黎世应用科学大学计算生命科学研究所) ; Biomedical Informatics and Data Science, Yale School of Medicine(耶鲁医学院生物医学信息学与数据科学) ; Centre for Artificial Intelligence, University College London(伦敦大学学院人工智能中心)
专题命中 评测与基准 :language model(abstract);分类 cs.LG
机构 * Department of Biomedical Engineering, Linköping University, Sweden(生物医学工程系,利厄普大学) ; Center for Medical Image Science and Visualization, Linköping University, Sweden(医学影像科学与可视化中心,利厄普大学) ; Crown Princess Victoria Children’s Hospital and Department of Health, Medicine and Caring Sciences, Linköping University, Sweden(维多利亚公主儿童医院和健康、医学与关怀科学系,利厄普大学) ; Department of Radiology and Department of Health, Medicine and Caring Sciences, Linköping University, Sweden(放射科和健康、医学与关怀科学系,利厄普大学) ; Department of Oncology-Pathology, Karolinska Institutet, Solna, Sweden(肿瘤病理学系,卡罗林斯卡研究所,索纳) ; Department of Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital, Sweden(临床病理学和癌症诊断系,卡罗林斯卡大学医院) ; Department of Radiation Physics and Department of Medical and Health Sciences, Linköping University, Sweden(放射物理系和医学与健康科学系,利厄普大学)
专题命中 评测与基准 :foundation model(abstract);分类 cs.AI
Journal ref Tampu IE et al. Pediatric brain tumor classification using digital pathology and deep learning: Evaluation of SOTA methods on a multi-center Swedish cohort. Brain Pathology. 2025. e70029
机构 * York University, Canada(约克大学,加拿大) ; University of Alberta, Canada(阿尔伯塔大学,加拿大) ; Dialpad Inc., Canada(Dialpad公司,加拿大) ; RBC, Canada(RBC,加拿大) ; Nanyang Technological University, Singapore(南洋理工大学,新加坡) ; Salesforce AI, USA(Salesforce AI,美国)
专题命中 评测与基准 :language model(abstract);分类 cs.CL
机构 * Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology(电子与计算机工程系,香港科学与技术大学)
专题命中 评测与基准 :foundation model(abstract)
Comments Accepted in MICCAI 2025
机构 * University of Macau(澳门大学) ; VIVO ; CUHKSZ(香港中文大学) ; Xidian University(西安电子科技大学) ; GVC Lab, Great Bay University(大澳大学GVC实验室)
专题命中 评测与基准 :foundation model(abstract)
机构 * Stony Brook University(石溪大学) ; University of Texas at Austin(德克萨斯大学奥斯汀分校) ; University of Maryland(马里兰大学)
专题命中 评测与基准 :language model(abstract)
机构 * Department of Electrical Engineering and Computer Science University of California, Irvine(电气工程与计算机科学系加州大学伊文斯顿分校)
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);post-training(title,abstract);foundation model(abstract)
机构 * Shanghai AI Laboratory(上海人工智能实验室) ; HKUST (GZ)(香港科技大学) ; University of Macau(澳门大学) ; Institute of Automation Chinese Academy of Sciences(中国科学院自动化研究所) ; Soochow University(苏州大学) ; KTH Royal Institute of Technology(皇家理工学院) ; Peking University(北京大学) ; The Chinese University of Hong Kong(香港中文大学)
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);foundation model(abstract)
Comments Survey, 82 pages, GitHub: https://github.com/weigao266/Awesome-Efficient-Arch
机构 * Center for Complex Network Intelligence (CCNI), Tsinghua Laboratory of Brain and Intelligence (THBI), Department of Psychological and Cognitive Sciences(复杂网络智能中心(CCNI)、清华脑智能实验室(THBI)、心理与认知科学系) ; Department of Computer Science(计算机科学系) ; Department of Biomedical Engineering, Tsinghua University, China(生物医学工程系,清华大学,中国)
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);分类 cs.LG
Comments ICML 2025
机构 * City University of Hong Kong(香港城市大学) ; Mohamed bin Zayed University of Artificial Intelligence(马尔代夫穆罕默德·本·扎耶德人工智能大学) ; Baidu(百度) ; National Taiwan University(国立台湾大学)
专题命中 效率与部署 :LLM(title,abstract);large language model(abstract);language model(abstract);分类 cs.CL、cs.AI
专题命中 效率与部署 :LLM(title,abstract);large language model(abstract);language model(abstract)
专题命中 效率与部署 :LLM(title,abstract);large language model(abstract);language model(abstract)
机构 * Motif Technologies
专题命中 效率与部署 :LLM(abstract);large language model(abstract);language model(abstract);foundation model(abstract)
机构 * Alto University, School of Science, Espoo, Finland(阿尔托大学科学学院,芬兰) ; Networked Systems Security (NSS) Group -- KTH Royal Institute of Technology, Stockholm, Sweden(网络系统安全(NSS)小组——皇家理工学院,瑞典) ; Ericsson, Finland(爱立信,芬兰)
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 6 pages
专题命中 效率与部署 :large language model(abstract);language model(abstract);post-training(abstract);分类 cs.CL、cs.AI
机构 * organization= School of Computer Science, University of St Andrews , addressline= Jack Cole Building , city= St Andrews , postcode= KY16 9SX , state= Fife , country= Scotland, United Kingdom ; organization= Autonomous Networking Research \& Innovation Department, Rakuten Mobile, Inc. , addressline= Rakuten Crimson House, 1-14-1 Tamagawa, Setagaya-ku , city= Tokyo , postcode= 158-0094 , state= Tokyo , country= Japan
专题命中 效率与部署 :LLM(abstract);large language model(abstract);language model(abstract);分类 cs.AI、cs.LG
机构 * Huawei Technologies Co., Ltd(华为技术有限公司)
专题命中 效率与部署 :foundation model(title,abstract)
机构 * Tsinghua University(清华大学) ; Nanyang Technological University(南洋理工大学)
专题命中 效率与部署 :language model(title,abstract)
Comments Accepted at the 33rd ACM International Conference on Multimedia(ACM MM 2025)
机构 * Seokgi Lee
专题命中 效率与部署 :LLM(abstract);large language model(abstract);language model(abstract);分类 cs.CL