Lumina-mGPT: Illuminate Flexible Photorealistic Text-to-Image Generation with Multimodal Generative Pretraining
专题命中 预训练与数据 :pretraining(title,abstract);SFT(abstract)
Comments Code available at: https://github.com/Alpha-VLLM/Lumina-mGPT
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);SFT(abstract)
Comments Code available at: https://github.com/Alpha-VLLM/Lumina-mGPT
专题命中 预训练与数据 :pretraining(title);language model(abstract);分类 cs.CL、cs.AI、cs.LG
Comments (v2) Clarified fine-tuning process, updated appendix
专题命中 预训练与数据 :pretraining(title,abstract);分类 cs.CL、cs.AI、cs.LG
Comments 14 pages, 8 figures, 7 tables, to be published at ICML2024
专题命中 预训练与数据 :language model(title,abstract);large language model(abstract)
专题命中 预训练与数据 :prompting(title);language model(abstract);pretraining(abstract)
专题命中 预训练与数据 :foundation model(title,abstract);language model(abstract)
Comments CVPR 2025, Project page is available at https://cvlab-kaist.github.io/Visual-Persona
专题命中 预训练与数据 :pretraining(title,abstract);foundation model(abstract)
Comments ICLR 2025
专题命中 预训练与数据 :pretraining(title);large language model(abstract);language model(abstract)
专题命中 预训练与数据 :pretraining(title,abstract);foundation model(abstract)
Comments Accepted by WACV 2025
专题命中 预训练与数据 :language model(title,abstract);分类 cs.CL、cs.AI、cs.LG
Comments 63 pages (24 main), 36 figures, 17 tables
专题命中 预训练与数据 :language model(title,abstract);large language model(abstract)
Comments ICLR 2025
专题命中 预训练与数据 :LLM(title);large language model(abstract);language model(abstract)
Comments ICLR-2025. The project page: https://chocowu.github.io/SeTok-web/
专题命中 预训练与数据 :LLM(title);large language model(abstract);language model(abstract)
专题命中 预训练与数据 :language model(title,abstract);pretraining(abstract)
Comments Accepted by IEEE TIFS
专题命中 预训练与数据 :foundation model(title,abstract);pretraining(abstract)
专题命中 预训练与数据 :LLM(title,abstract);分类 cs.CL、cs.AI、cs.LG
Comments Accepted at NAACL 2025 main conference
专题命中 预训练与数据 :language model(title,abstract);分类 cs.CL、cs.AI、cs.LG
Comments 23 pages, 8 figures. Accepted in NeurIPS 2024
专题命中 预训练与数据 :language model(title,abstract);prompting(abstract)
专题命中 预训练与数据 :language model(title,abstract);foundation model(abstract)
Comments Accepted by T-IP. A PyTorch re-implementation is at https://github.com/VamosC/CLIP4STR (Credit on GitHub@VamosC)
专题命中 预训练与数据 :language model(title,abstract);分类 cs.CL、cs.AI、cs.LG
Comments NeurIPS 2024 Workshops: RBFM (Best Paper), Frontiers in AdvML (Oral), Red Teaming GenAI (Oral), SoLaR (Spotlight), SATA
专题命中 预训练与数据 :language model(title,abstract);large language model(abstract)
专题命中 预训练与数据 :foundation model(title,abstract);pretraining(abstract)
专题命中 预训练与数据 :foundation model(title,abstract);pretraining(abstract)
Comments 19 pages, 5 figures, to be published in Medical Image Analysis
专题命中 预训练与数据 :language model(title,abstract);分类 cs.CL、cs.AI、cs.LG
Comments Published at NeurIPS 2024
专题命中 预训练与数据 :pretraining(title,abstract);prompting(abstract)
Comments Accepted to NeurIPS24 Datasets and Benchmarks Track
专题命中 预训练与数据 :language model(title,abstract);large language model(abstract)
Comments Project page: https://pepper-lll.github.io/LMforImageGeneration/
专题命中 预训练与数据 :language model(title,abstract);pretraining(abstract)
专题命中 预训练与数据 :language model(title,abstract);分类 cs.CL、cs.AI、cs.LG
专题命中 预训练与数据 :pretraining(title,abstract);language model(abstract)
专题命中 预训练与数据 :language model(title,abstract);分类 cs.CL、cs.AI、cs.LG
Comments Published at EMNLP 2024 Main Conference