ViCToR: Improving Visual Comprehension via Token Reconstruction for Pretraining LMMs
专题命中 预训练与数据 :pretraining(title,abstract);LLM(abstract);large language model(abstract);language model(abstract)
Comments 10 pages, 6 figures, 5 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。
专题命中 预训练与数据 :pretraining(title,abstract);LLM(abstract);large language model(abstract);language model(abstract)
Comments 10 pages, 6 figures, 5 tables
机构 * Microsoft Research(微软研究院) ; University of Southern California(南加州大学)
专题命中 预训练与数据 :foundation model(title,abstract);large language model(abstract);language model(abstract);分类 cs.CL、cs.AI、cs.LG
机构 * Technical University of Munich(慕尼黑技术大学) ; Helmholtz-Zentrum Dresden-Rossendorf(德累斯顿-罗斯托克亥姆霍尔茨中心)
专题命中 预训练与数据 :foundation model(title,abstract);large language model(abstract);language model(abstract);pretraining(abstract)
Comments code & weights: https://github.com/xiong-zhitong/DOFA-CLIP
机构 * Engineering Research Center of Database and Business Intelligence, MOE, China(数据库与商业智能工程研究中心,教育部,中国) ; School of Information, Renmin University of China,Beijing, China(信息学院,中国人民大学,北京,中国) ; Key Laboratory of Data Engineering and Knowledge Engineering, MOE, China(数据工程与知识工程重点实验室,教育部,中国) ; Zhipu AI, China(智谱AI,中国)
专题命中 预训练与数据 :post-training(title,abstract);large language model(abstract);language model(abstract);分类 cs.CL、cs.AI、cs.LG
Comments Accepted as Main of ACL2025
机构 * Mirabolic Consulting(Mirabolic咨询公司)
专题命中 预训练与数据 :LLM(title,abstract);large language model(abstract);language model(abstract);分类 cs.CL、cs.AI、cs.LG
Comments 15 pages, 4 figures
专题命中 预训练与数据 :LLM(title,abstract);large language model(abstract);language model(abstract);分类 cs.CL、cs.AI、cs.LG
Comments 8 pages, 3 figures
专题命中 预训练与数据 :LLM(title,abstract);large language model(abstract);language model(abstract);分类 cs.CL、cs.AI、cs.LG
Comments Accepted as an Oral Presentation at AAAI 2025 (Main Technical Track)
专题命中 预训练与数据 :language model(title,abstract);large language model(abstract);pretraining(abstract);分类 cs.CL、cs.AI、cs.LG
Comments accepted by ICLR2025, camera ready version
专题命中 预训练与数据 :foundation model(title,abstract);large language model(abstract);language model(abstract);pretraining(abstract)
Comments 23 pages
专题命中 预训练与数据 :LLM(title,abstract);large language model(abstract);language model(abstract);分类 cs.CL、cs.AI、cs.LG
Comments 21 pages
专题命中 预训练与数据 :LLM(title,abstract);large language model(abstract);language model(abstract);分类 cs.CL、cs.AI、cs.LG
Comments Technical report; 31 pages
专题命中 预训练与数据 :LLM(title,abstract);large language model(abstract);language model(abstract);分类 cs.CL、cs.AI、cs.LG
专题命中 预训练与数据 :language model(title,abstract);LLM(abstract);large language model(abstract);分类 cs.CL、cs.AI、cs.LG
专题命中 预训练与数据 :language model(title,abstract);LLM(abstract);large language model(abstract);分类 cs.CL、cs.AI、cs.LG
Comments Published at NeurIPS 2024 (Spotlight). Code at https://github.com/facebookresearch/radioactive-watermark - webpage at https://pierrefdz.github.io/publications/radioactive/
专题命中 预训练与数据 :LLM(title,abstract);large language model(abstract);language model(abstract);分类 cs.CL、cs.AI、cs.LG
Comments 16 pages, 9 Figures, 5 Tables
专题命中 预训练与数据 :language model(title,abstract);LLM(abstract);large language model(abstract);分类 cs.CL、cs.AI、cs.LG
Comments ICML 2024 (Oral). Latest revision corrects a discussion on concurrent work arXiv:2403.01749. We described their work as reliant on using closed-sourced models when in reality they also evaluate and use open source models. This has been corrected in this version
专题命中 预训练与数据 :language model(title,abstract);foundation model(abstract);pretraining(abstract);prompting(abstract)
Comments accepted by CIKM'24 applied research track
专题命中 预训练与数据 :prompting(title,abstract);large language model(abstract);language model(abstract);分类 cs.CL、cs.AI、cs.LG
专题命中 预训练与数据 :foundation model(title,abstract);large language model(abstract);language model(abstract);instruction tuning(abstract)
Comments Accepted by ACMMM24
专题命中 预训练与数据 :language model(title,abstract);LLM(abstract);large language model(abstract);分类 cs.CL、cs.AI、cs.LG
专题命中 预训练与数据 :pretraining(title,abstract);large language model(abstract);language model(abstract);分类 cs.CL、cs.AI、cs.LG
专题命中 预训练与数据 :LLM(title,abstract);large language model(abstract);language model(abstract);分类 cs.CL、cs.AI、cs.LG
Comments 8 pages, 3 figures, For a video demo, see https://youtu.be/mIG2MDQKQxM
专题命中 预训练与数据 :language model(title,abstract);LLM(abstract);large language model(abstract);分类 cs.CL、cs.AI、cs.LG
Comments ICLR 2024 camera-ready (23 pages), Code: https://github.com/archiki/RepARe
专题命中 预训练与数据 :language agent(title,abstract);foundation model(abstract);prompting(abstract);分类 cs.CL、cs.AI、cs.LG
专题命中 预训练与数据 :LLM(title,abstract);large language model(abstract);language model(abstract);分类 cs.CL、cs.AI、cs.LG
专题命中 预训练与数据 :LLM(title,abstract);large language model(abstract);language model(abstract);foundation model(abstract)
Comments 14 pages, 6 figures
专题命中 预训练与数据 :LLM(title,abstract);large language model(abstract);language model(abstract);分类 cs.CL、cs.AI、cs.LG
Comments GitHub: https://shanghaicannon.github.io/ChatMusician/
专题命中 预训练与数据 :LLM(title);large language model(abstract);language model(abstract);foundation model(abstract)
专题命中 预训练与数据 :prompting(title,abstract);large language model(abstract);language model(abstract);pretraining(abstract)
Comments 16 pages, 12 figures
专题命中 预训练与数据 :language model(title,abstract);large language model(abstract);pretraining(abstract);分类 cs.CL、cs.AI、cs.LG