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...
题目:A Survey on Multimodal Large Language Models 作者:Shukang Yin1* , Chaoyou Fu2∗‡† , Sirui Zhao1∗‡, Ke Li2 , Xing Sun2 , Tong Xu1 , Enhong Chen1‡ 单位:School of CST., USTC & State Key Laboratory of Cognitive Intelligence 2Tencent YouTu Lab 项目主页 链接 主...
去年6 月底,我们在 arXiv 上发布了业内首篇多模态大语言模型领域的综述《A Survey on Multimodal Large Language Models》,系统性梳理了多模态大语言模型的进展和发展方向,目前论文引用 120+,开源 GitHub 项目获得8.3K Stars。自论文发布以来,我们收到了很多读者非常宝贵的意见,感谢大家的支持! 去年以来,我们见证了...
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Information Extraction (IE) aims to extract structural knowledge from plain natural language texts. Recently, generative Large Language Models (LLMs) have
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, ...
This survey presents a comprehensive analysis of the phenomenon of hallucination in multimodal large language models (MLLMs), also known as Large Vision-Language Models (LVLMs), which have demonstrated significant advancements and remarkable abilities in multimodal tasks. Despite these promising development...
Multimodal perceptionIn recent years, the integration of large language models (LLMs) has revolutionized the field of robotics, enabling robots to communicate, understand, and reason with human-like proficiency. This paper explores the multifaceted impact of LLMs on robotics, addressing key challenges...
Examining user-friendly and open-sourced large GPT models: a survey on language, multimodal, and scientific GPT models. Preprint at https://arxiv.org/abs/2308.14149 (2023). Mao, R., Chen, G., Zhang, X., Guerin, F. & Cambria, E. GPTEval: a survey on assessments of ChatGPT and ...
GitHub - BradyFU/Awesome-Multimodal-Large-Language-Models: :sparkles::sparkles:Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation.github.com/BradyFU/Awesome-Multimodal-Large-Language-Models 现在LLM已经广泛用到了多模态方法中,基于LLM的强大智能来完成复杂的多模态任务。