FineBadminton: A Multi-Level Dataset for Fine-Grained Badminton Video Understanding
专题命中 评测与基准 :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 评测与基准 :large language model(abstract);language model(abstract)
专题命中 评测与基准 :large language model(abstract);language model(abstract)
Comments 43 pages, 31 figures, 13 tables
机构 * Sea AI Lab(Sea AI实验室) ; Hong Kong University of Science and Technology(香港科学大学) ; Pennsylvania State University(宾夕法尼亚州立大学)
专题命中 评测与基准 :LLM(abstract);分类 cs.CL、cs.AI、cs.LG
Comments ICML 2025
机构 * The Chinese University of Hong Kong, Shenzhen(香港中文大学(深圳)) ; University of California, Berkeley(加州大学伯克利分校)
专题命中 评测与基准 :large language model(abstract);language model(abstract)
机构 * Carnegie Mellon University(卡内基梅隆大学) ; Instituto de Telecomunicações(电信研究所) ; Instituto Superior Técnico, Universidade de Lisboa(里斯本大学技术学院) ; Unbabel
专题命中 评测与基准 :LLM(abstract);分类 cs.CL、cs.LG
专题命中 评测与基准 :language model(abstract);分类 cs.CL、cs.AI
Comments 28 pages, 6 figures, under review
机构 * PCA Lab, VCIP, College of Computer Science, Nankai University(南开大学计算机科学学院)
专题命中 评测与基准 :pretraining(abstract);分类 cs.AI、cs.LG
Comments Accepted at NeurIPS 2024. Spotlight. Project page: (https://github.com/zcablii/SARDet_100K)[https://github.com/zcablii/SARDet_100K]
专题命中 评测与基准 :LLM(abstract);分类 cs.AI
Comments Benchmarks and Source Code Released
专题命中 评测与基准 :language model(abstract);分类 cs.AI
机构 * IIT Bombay(印度理工学院博伊斯)
专题命中 评测与基准 :language model(abstract);分类 cs.CL
机构 * Sungkyunkwan University(顺天大学)
专题命中 评测与基准 :language model(abstract)
机构 * Tongji University(同济大学) ; Shanghai AI Lab(上海人工智能实验室) ; Nanyang Technological University(南洋理工大学) ; National University of Singapore(新加坡国立大学)
专题命中 评测与基准 :pretraining(abstract)
Comments 13 pages, 10 figures. Code at https://github.com/Jeoyal/CharacterShot
专题命中 评测与基准 :prompting(abstract)
Journal ref Physical Review Letters 135, 026601 (2025)
机构 * Shanghai Jiao Tong University(上海交通大学) ; Basis Independent Silicon Valley(基础独立硅谷) ; University of Missouri-Kansas City(密苏里大学-堪萨斯城)
专题命中 评测与基准 :prompting(abstract)
机构 * British Machine Vision Conference(英国机器视觉会议) ; International Conference on Computer Vision(国际计算机视觉会议) ; Artificial Intelligence(人工智能) ; Augmented Reality(增强现实) ; Software Development Kit(软件开发套件) ; American Sign Language(美国手语) ; British Sign Language(英国手语) ; Bidirectional Long Short-Term Memory(双向长短期记忆网络) ; Conditional Random Field(条件随机场) ; Continuous Sign Language Recognition(连续手语识别) ; Connectionist Temporal Classification(连接主义时序分类) ; Content4All ; Deep Learning(深度学习) ; German Sign Language(德语手语) ; Swiss German Sign Language(瑞士德语手语) ; Dynamic Time Warping(动态时间规整) ; Dynamic Time Warping Mean Joint Error(动态时间规整均关节误差) ; Fully Connected(全连接) ; Feed Forward(前馈) ; Frames per second(帧每秒) ; Generative Adversarial Network(生成对抗网络) ; Graphics Processing Unit(图形处理单元) ; Gated Recurrent Unit(门控循环单元) ; Gloss-to-Pose Transformer(词素到姿态转换器) ; Gloss-to-Pose(词素到姿态) ; Gloss-to-Sign(词素到手语) ; Gloss-to-Text(词素到文本) ; Ground truth(真实数据) ; Hidden Markov Model(隐马尔可夫模型) ; Hand Pose Enhancer(手姿态增强器) ; Hard of Hearing(听力障碍) ; Hamburg Notation System(汉堡符号系统) ; Irish Sign Language(爱尔兰手语) ; Long Short-Term Memory(长短期记忆网络) ; French Sign Language(法语手语) ; Multi-Headed Attention(多头注意力) ; Motion Capture(动作捕捉) ; Monocular Total Capture(单目总捕捉) ; Mean Squared Error(均方误差) ; Mixture Density Network(混合密度网络) ; MeineDGS ; mDGS T ; Machine Translation(机器翻译) ; Neural Machine Translation(神经机器翻译) ; Natural Language Processing(自然语言处理) ; Non-AutoRegressive(非自回归) ; Noise Substitution Vector Quantization(噪声替代向量量化) ; PHOENIX12 ; RWTH-PHOENIX-Weather-2012 ; PHOENIX14 ; RWTH-PHOENIX-Weather-2014 ; RWTH-PHOENIX-Weather-2014 T ; Part Orientation Field(部分方向场) ; Part Of Speech(词性) ; Progressive Transformer(渐进转换器) ; Part Affinity Field(部分亲和场) ; Pose-to-Text Transformer(姿态到文本转换器) ; Pose-to-Text(姿态到文本) ; Pose-to-Sign(姿态到手语)
专题命中 评测与基准 :language model(abstract)
Comments 11 pages, 6 Figures, CVPR conference
专题命中 评测与基准 :language model(abstract)
机构 * Southeast University(东南大学) ; Xi'an Jiaotong University(西安交通大学)
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);post-training(abstract);分类 cs.AI
Comments Accepted by ACM MM 2025. First PTQ solution for Multimodal large language models applicable to 5 mainstream MLLMs
机构 * University of Utah(犹他大学) ; University of Michigan(密歇根大学)
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.AI、cs.LG
机构 * University of Science and Technology of China(中国科学技术大学) ; ByteDance Ltd.(字节跳动有限公司) ; Institute of Artificial Intelligence(人工智能研究院) ; Hefei Comprehensive National Science Center(合肥综合性国家科学中心)
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.AI
机构 * Computer Science, Virginia Tech, Blacksburg, Virginia, USA(计算机科学,弗吉尼亚理工学院,弗吉尼亚州黑斯堡,美国;弗吉尼亚理工学院黑斯堡弗吉尼亚美国) ; Virginia Tech Blacksburg Virginia USA
专题命中 效率与部署 :large language model(title);language model(title);LLM(abstract);分类 cs.AI
Comments Submitted to International Journal of Human-Computer Studies. Bond and Choe: Drafting, Review, Editing, Validation, Software, Methodology, Investigation, Data Analysis, Conceptualization, Experiment training. Hasan and Siddiqui: Experimental and Data Analysis Support. Jeon: Supervision, Review, Resources, Project Admin, Methodology, Conceptualization. Total 34 pages
专题命中 效率与部署 :LLM(title,abstract);large language model(abstract);language model(abstract);分类 cs.AI、cs.LG
机构 * Huawei Noah's Ark Lab(华为诺亚实验室) ; Shenzhen International Graduate School, Tsinghua University(清华大学深圳国际研究生院) ; The Chinese University of Hong Kong(香港中文大学)
专题命中 效率与部署 :LLM(title);large language model(abstract);language model(abstract);post-training(abstract)
Comments 27 pages, accepted to ICML 2025
机构 * Peking University(北京大学) ; Brave Software(Brave软件公司) ; Purdue University(普渡大学) ; Imperial College London(伦敦帝国理工学院)
专题命中 效率与部署 :LLM(title,abstract);large language model(abstract);language model(abstract);分类 cs.AI、cs.LG
机构 * Department of Electrical and Computer Engineering(电气与计算机工程系) ; University of Southern California(南加州大学) ; Department of Electrical Engineering(电气工程系) ; University of Texas at Arlington(德克萨斯大学阿灵顿分校) ; Interdisciplinary Science Department(跨学科科学系) ; Brookhaven National Laboratory(布鲁赫斯国家实验室)
专题命中 效率与部署 :LLM(title,abstract);large language model(abstract);language model(abstract);分类 cs.AI
专题命中 效率与部署 :LLM(title,abstract);large language model(abstract);language model(abstract)
Comments 4 pages, 6 figures, accepted at IEEE Computer Architecture Letters
机构 * Khalifa University Center for Autonomous Robotic Systems (KUCARS), Khalifa University, United Arab Emirates(卡利法大学自主机器人系统中心(KUCARS)、卡利法大学、阿拉伯联合酋长国)
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 :language model(title,abstract);post-training(abstract);prompting(abstract)
Comments The webpage is at https://dex-vla.github.io/. DexVLA is accepted by CoRL 2025
机构 * Peking University Beijing China ; Huawei Technologies Ltd. Beijing China ; Shanghai AI Laboratory Shanghai China ; Peking University Center for Machine Learning Research Beijing China ; Peking University School of Computer Science \& Key Lab of High Confidence Software Technologies (MOE) Beijing China ; Peking University ; Huawei Technologies Ltd. ; Shanghai AI Laboratory
专题命中 效率与部署 :language model(title,abstract);large language model(abstract);分类 cs.CL
机构 * Department of Materials Science and Engineering(材料科学与工程系) ; Laboratory for Atomistic and Molecular Mechanics (LAMM)(原子分子力学实验室) ; Massachusetts Institute of Technology(麻省理工学院) ; School of Materials Science and Engineering(材料科学与工程学院) ; Centre for Cross Economy Global(跨经济全球中心) ; Nanyang Technological University(南洋理工大学)
专题命中 效率与部署 :LLM(abstract);large language model(abstract);language model(abstract);分类 cs.CL、cs.AI、cs.LG
机构 * University of Chicago(芝加哥大学) ; University of Notre Dame(圣约翰大学)
专题命中 效率与部署 :LLM(abstract);large language model(abstract);language model(abstract);分类 cs.CL、cs.AI、cs.LG