本论文旨在追踪和总结多模态大语言模型(Multimodal Large Language Model)的最新进展,主要内容包括模型架构、训练策略和数据以及评估。然后,作者介绍了关于如何扩展多模态大语言模型以支持更多粒度、模态、语言和场景的研究主题。作者还介绍了多模态大语言模型面临的幻觉问题以及包括多模态上下文学习、多模态思维链、大语言模...
多模态大模型综述(二):A Survey on Multimodal Large Language Models--训练策略与数据 3.训练策略与数据 一个完整的MLLM经历三个阶段的训练,即预训练、指令微调和对齐微调。训练的每个阶段都需要不同类型的数据,并实现不同的目标。在本节中,我们将讨论训练目标,以及每个训练阶段的数据收集和特征。 3.1 预训练 ...
However, traditional recommendation models primarily rely on unique IDs and categorical features for user-item matching, potentially overlooking the nuanced essence of raw item contents across multiple modalities such as text, image, audio, and video. This underutilization of multimodal data poses a ...
Framework of this survey Review and Surveys Please check this file [Surveys.md] Datasets Please check this file [Datasets.md] Publications Please check this file [paperList.md] Experimental Analysis Other Useful Materials Awesome-Multimodal-Large-Language-Models ...
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Pre-trained language models (PLM). 预训练LM,ELMO,BERT,GPT2,需要针对特定任务fine-tuning As an early attempt,ELMo[21] was proposed to capturecontext-aware word representationsby first pre-training abidirectional LSTM (biLSTM)network (instead of learning fixed word representations) and then fine-tun...
中科大腾讯 -多模态大型语言模型综述 A Survey on Multimodal Large Language Models 热度: 1 ASurveyofLargeLanguageModels WayneXinZhao,KunZhou*,JunyiLi*,TianyiTang,XiaoleiWang,YupengHou,YingqianMin,Beichen Zhang,JunjieZhang,ZicanDong,YifanDu,ChenYang,YushuoChen,ZhipengChen,JinhaoJiang, ...
Multimodal learningVision-and-languageKnowledge graphsTransformersMultimodal learning has been a field of increasing interest, aiming to combine various modalities in a single joint representation. Especially in the area of visiolinguistic (VL) learning multiple models and techniques have been developed, ...
MM-REACT: Prompting chatGPT for multimodal reasoning and action. 2023, arXiv preprint arXiv: 2303.11381 Gao C, Lan X, Lu Z, Mao J, Piao J, Wang H, Jin D, Li Y. S3: social-network simulation system with large language model-empowered agents. 2023, arXiv preprint arXiv: 2307.14984 ...
[MIR-2023-Survey] A continuously updated paper list for multi-modal pre-trained big models - wangxiao5791509/MultiModal_BigModels_Survey