What Your Features Reveal: Data-Efficient Black-Box Feature Inversion Attack for Split DNNs
机构 * Xi’an Jiaotong University(西安交通大学)
专题命中 效率与部署 :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。
机构 * Xi’an Jiaotong University(西安交通大学)
专题命中 效率与部署 :language model(abstract)
机构 * Institute of Exact and Natural Sciences(精确与自然科学研究所) ; Federal University of Pará(巴西亚马逊联邦大学)
专题命中 效率与部署 :prompting(abstract)
Comments 23 pages, 7 figures
专题命中 领域大模型 :large language model(title,abstract);language model(title,abstract);pretraining(abstract);分类 cs.CL、cs.AI
Comments The manuscript is currently ongoing the underreview process of the journal of information science
机构 * School of Computing and Information, University of Pittsburgh, Pittsburgh, USA(计算机与信息学院,匹兹堡大学,美国匹兹堡) ; Centre for Artificial Intelligence Research, University of Agder, Grimstad, Norway(人工智能研究中心,阿格德大学,挪威格里斯塔德)
专题命中 领域大模型 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL、cs.AI
Comments 19 pages, 4 figures, in review
机构 * Department of Software \& Microelectronics Peking University Beijing, China ; Department of Software \& Microelectronics Peking University Beijing, China hangli\ ; Department of Software \& Microelectronics Peking University Beijing, China zehua\ ; Department of Software \& Microelectronics Peking University Beijing, China xiaofan\ ; Economic Law School China University of Political Science ; School of Computer Science Peking University Beijing, China
专题命中 领域大模型 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.AI
专题命中 领域大模型 :prompting(title,abstract);large language model(abstract);language model(abstract);分类 cs.CL、cs.AI
Comments Accepted by AAAI 2026
了解您的意图:一种自主多视角大语言模型代理框架用于DeFi用户交易意图挖掘
机构 * Nanjing University(南京大学) ; The University of Tennessee, Knoxville(田纳西大学)
专题命中 领域大模型 :LLM(title,abstract);large language model(abstract);language model(abstract);分类 cs.AI
AI总结 本文提出TIM框架,通过多视角LLM代理系统挖掘DeFi用户交易意图,提升意图推断的准确性和可验证性。
Comments Written in 2025 Q1
机构 * Department of Computer Science, Sapienza University of Rome(计算机科学系,罗马大学)
专题命中 领域大模型 :foundation model(title,abstract);language model(abstract);分类 cs.AI、cs.LG
专题命中 领域大模型 :language model(title,abstract);large language model(abstract);分类 cs.CL、cs.LG
Comments 10 pages, 5 figures. Accepted to the Privacy-Preserving Machine Learning Workshop at EurIPS 2025
机构 * Southeast University(东南大学) ; China Mobile Research Institute(中国移动研究院) ; Monash University(墨尔本大学)
专题命中 领域大模型 :LLM(abstract);large language model(abstract);language model(abstract);分类 cs.AI
Comments This paper has been ACCEPTED as a FULL PAPER at DASFAA 2025 (Oral)
CroPS:通过跨视角正样本提升密集检索(短视频搜索)
机构 * Kuaishou Technology(快手科技)
专题命中 领域大模型 :large language model(abstract);language model(abstract);分类 cs.CL
AI总结 CroPS通过引入多视角正样本提升短视频检索性能,减少查询重述率,已在快手搜索部署。
Comments AAAI-2026, Oral
专题命中 领域大模型 :foundation model(abstract);分类 cs.LG
Comments arXiv admin comment: This version has been removed by arXiv administrators as the submitter did not have the rights to agree to the license at the time of submission
机构 * Research Center for Intelligent Computing Systems, Institute of Computing Technology, Chinese Academy of Sciences(智能计算系统研究中心,计算技术研究所,中国科学院) ; School of Computer Science and Technology, University of Chinese Academy of Sciences(计算机科学与技术学院,中国科学院大学)
专题命中 领域大模型 :prompting(abstract)
Comments Accepted by Pattern Recognition
机构 * Catholic University of America(美国天主教大学)
专题命中 知识编辑与模型理解 :large language model(title,abstract);language model(title,abstract);分类 cs.CL、cs.AI;LLM(comments)
Comments 10 pages, theoretical/mathematical LLM research, no figures, intended for peer-reviewed journal
专题命中 知识编辑与模型理解 :LLM(title,abstract);large language model(abstract);language model(abstract)
Comments ASRU 2025
机构 * Department of Biomedical Data Science, Stanford University(生物医学数据科学系,斯坦福大学)
专题命中 知识编辑与模型理解 :LLM(title);large language model(abstract);language model(abstract);分类 cs.AI
Comments Preprint. Accepted for publication at AIAS 2025
机构 * Kairosity
专题命中 知识编辑与模型理解 :foundation model(title,abstract);分类 cs.LG
专题命中 知识编辑与模型理解 :language model(title,abstract)
Comments AAAI2026 Oral
机构 * University of Georgia(佐治亚大学)
专题命中 知识编辑与模型理解 :LLM(abstract);language model(abstract);分类 cs.AI;foundation model(comments)
Comments 39th Conference on Neural Information Processing Systems (NeurIPS 2025) Workshop: 7th International Workshop on Large Scale Holistic Video Understanding: Toward Video Foundation Models
Journal ref Neural Information Processing Systems (NeurIPS 2025)
专题命中 知识编辑与模型理解 :large language model(abstract);language model(abstract);分类 cs.CL
机构 * Department of Industrial & Systems Engineering, University of Washington(工业与系统工程系,华盛顿大学) ; College of Engineering, University of Washington(工程学院,华盛顿大学) ; Michael G. Foster School of Business, University of Washington(Michael G. Foster商学院,华盛顿大学)
专题命中 知识编辑与模型理解 :large language model(abstract);language model(abstract);分类 cs.AI
Comments NeurIPS 2025 WORKSHOP ML*OR Workshop: Mathematical Foundations and Operational Integration of Machine Learning for Uncertainty-Aware Decision-Making
基于CLIP的层次语义树锚定的类增量学习
机构 * School of Artificial Intelligence, Nanjing University(人工智能学院,南京大学) ; State Key Laboratory for Novel Software Technology, Nanjing University(新型软件技术国家重点实验室,南京大学)
专题命中 知识编辑与模型理解 :language model(abstract);分类 cs.LG
AI总结 HASTEN通过层次语义树锚定方法,有效解决CLIP类增量学习中的灾难性遗忘问题,提升模型对层次化类别结构的保持能力。
机构 * UT Austin(得克萨斯大学) ; Princeton University(普林斯顿大学) ; Stanford University(斯坦福大学)
专题命中 知识编辑与模型理解 :LLM(abstract);分类 cs.AI
Comments NeurIPS 2025 Spotlight
机构 * PLRI Medical Informatics Institute(PLRI医学信息学研究所) ; CAIMed Reserch Center(CAIMed研究中心) ; Hannover Medical School(汉诺威医学院) ; Computer Science Institute(计算机科学研究所) ; Leibniz University Hannover(莱比锡大学汉诺威分校) ; Sanford Burnham Prebys Medical Discovery Institute(桑福医疗发现研究所) ; Rady Children’s Institute for Genomic Medicine(拉迪儿童基因医学研究所) ; University of California San Diego(加州大学圣地亚哥分校)
专题命中 知识编辑与模型理解 :pretraining(abstract)
机构 * Department of Computer and Information Science, University of Pennsylvania(计算机与信息科学系,宾夕法尼亚大学) ; Department of Bioengineering, University of Pennsylvania(生物工程系,宾夕法尼亚大学) ; Department of Pathology and Laboratory Medicine, University of Pennsylvania(病理学与实验室医学系,宾夕法尼亚大学) ; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania(生物统计学、流行病学与信息学系,宾夕法尼亚大学)
专题命中 知识编辑与模型理解 :foundation model(abstract)
机构 * Brown University(布朗大学)
专题命中 其他LLM :language model(title,abstract);分类 cs.CL
Comments Workshop on Interpreting Cognition in Deep Learning Models at NeurIPS 2025
机构 * University of Waterloo(滑铁卢大学) ; Google DeepMind(谷歌DeepMind)
专题命中 其他LLM :language model(title,abstract);分类 cs.CL
Comments 8 pages, 9 figures
机构 * School of Control Science and Engineering, China University of Petroleum (East China)(控制科学与工程学院,中国石油大学(华东))
专题命中 其他LLM :foundation model(title,abstract)
机构 * University of Oxford(牛津大学) ; Vienna University of Economics and Business(维也纳经济与商业大学) ; Amazon(亚马逊公司)
专题命中 其他LLM :LLM(abstract);large language model(abstract);language model(abstract);分类 cs.AI
Comments Oral at RecSys Gen AI for E-commerce 2025
标准化NLP工作流程:可重复语言分析的框架
专题命中 其他LLM :large language model(abstract);language model(abstract);分类 cs.CL
AI总结 本文提出LPDS数据结构和pelican nlp框架,旨在通过标准化流程提升语言数据处理的可重复性和透明度。
Comments 26 pages, 3 figures