5月17日,鹅厂协同国内几大高校实验室发布了一篇有关多模态大模型的综述文章《Efficient Multimodal Large Language Models: A Survey》,有广度有深度地介绍了多模态大模型的行业发展现状,对多模态大模型发展感觉兴趣的同学觉得有用就一键三连吧~ *本文只摘译精华部分,需要了解全文的请至文末跳转至原文链接阅读。 *楼...
例如,CoT-PT[81]将多个元网络链接起来,用于提示调优以模拟推理链,其中每个元网络将视觉特征嵌入到特定步骤的提示偏差中。Multimodal-CoT[82]采用了基于transformer共享结构的两阶段框架[89],其中视觉和文本特征通过交叉注意相互作用。 Expert Model引入专家模型将视觉输入转换为文本描述是另一种模态桥接方法。例如,Science...
Elouali N, Rouillard J, Le Pallec X, Tarby JC (2013) Multimodal interaction: a survey from model driven engineering and mobile perspectives. J Multimodal User Interfaces 7(4):351–370N. Elouali, J. Rouillard, X. L. Pallec, and J.-C. Tarby, "Multimodal interaction: a survey from...
Lin, Yi-Ming et al. 2023. ‘Federated Learning on Multimodal Data: A Comprehensive Survey’. Machine Intelligence Research 20(4): 539–53. Large Language Model View explanation Neural Networks View explanation Sign up to our newsletter First name Last name Email ...
A Survey on Multimodal Large Language Models论文解读 Abstract Recently, Multimodal Large Language Model (MLLM) represented by GPT-4V has been a new rising research hotspot,which uses powerful Large Language Models (LLMs) as a brain to perform multimodal tasks. The surprising emergent capabilities ...
A Survey on Retrieval-Augmented Text Generation Graph Retrieval-Augmented Generation: A Survey A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language Processing Retrieval Augmented Generation (RAG) ...
This github will be continuously updated for the survey paper: Large-scale Multi-Modal Pre-trained Models: A Comprehensive Survey,Xiao Wang,Guangyao Chen, Guangwu Qian, Pengcheng Gao,Xiao-Yong Wei,Yaowei Wang,Yonghong Tian,Wen Gao. [arXiv] [MIR] [极市平台公众号] [机器智能研究MIR(MIR编辑部...
2、基于模型model-based Multiple Kernel learning(MKL),多核学习(将不同的核用于不同的数据模态/视图) Graphical models,图模型后续可以看看 Neural Networks,神经网络 循环神经网路,进行端到端的训练 八、共同学习 Co-learning 解释:通过利用来自另一种(资源丰富)模态的知识来帮助(资源贫乏)模态建模;辅助模态(helpe...
A Survey of Multimodal Large Language Model from A Data-centric PerspectiveO网页链接 这篇论文从以数据为中心的视角全面调查了多模态大型语言模型(MLLM)。人类通过视觉、嗅觉、听觉和触觉等多种感官感知世界,与此类似,多模态大型语言模型通过集成和处理来自文本、视觉、音频、视频和3D环境等多个模态的数据,增强了...
model-based:显式的在构造中完成融合 Multiple Kernel learning(MKL),多核学习 Graphical models,图模型 Neural Networks,神经网络 神经网络在近期成为解决融合问题非常流行的方案,然而图模型以及多核学习依旧被使用,尤其是在有限的训练数据和模型可解释性非常重要的情况下。