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Multimodal Large Language Models: A Survey [PDF]
2023 IEEE International Conference on Big Data (BigData), 2023 IEEE BigData 2023.
Philip S. Yu, Wensheng Gan, Zefeng Chen
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A Survey on Multimodal Large Language Models [PDF]
National Science ReviewABSTRACT Recently, the 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 of the MLLM, such as writing stories based on images and optical character recognition–
Xing Sun, Enhong Chen
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A Comprehensive Survey of Large Language Models and Multimodal Large Language Models in Medicine
Information FusionSince the release of ChatGPT and GPT-4, large language models (LLMs) and multimodal large language models (MLLMs) have attracted widespread attention for their exceptional capabilities in understanding, reasoning, and generation, introducing transformative paradigms for integrating artificial intelligence into medicine.
Hanguang Xiao +2 more
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Applications of Multimodal Large Language Models in Construction Industry
Advanced Engineering InformaticsAbdolmajid Erfani
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Research Progress on Vision–Language Multimodal Pretraining Model Technology
Electronics, 2022Ruiyang Huang, Jianpeng Zhang
exaly
Multimodal Fine-Tuning of Clinical Language Models for Predicting COVID-19 Outcomes
Artificial Intelligence in Medicine, 2023Aron Henriksson +2 more
exaly
Injecting Multimodal Information Into Pre-Trained Language Model for Multimodal Sentiment Analysis
IEEE Transactions on Affective ComputingSijie Mai, Haifeng Hu, Ying Zeng
exaly
Potato Disease Detection and Prevention Using Multimodal AI and Large Language Model
Computers and Electronics in AgricultureWeiming Shi
exaly