Prompt Highlighter: Interactive Control for Multi-Modal LLMs Yuechen Zhang, Shengju Qian, Bohao Peng, Shu Liu, Jiaya Jia 2023 ShareGPT4V: Improving Large Multi-Modal Models with Better Captions Lin Chen, Jinsong Li, Xiao-wen Dong, Pan Zhang, Conghui He, Ji...
e_z = e_k, \\ k= \text{argmin}_j ||v_z(x) − e_j||_2 \\生成原图像,从而实现隐状态离散的VAE。具体的学习方法可以参考原文,和传统VAE的区别在于要单独学习每个离散变量的 E ,论文里面用了类似于Q-Learning中更新Value Network的Exponential Moving Averages算法。 在使用阶段,可以使用Encoder得到...
随着多模态LLMs的发展，检索多模态信息以增强文本生成将是一个有前景的方向，有助于更好地将文本生成植...
本论文介绍了LayoutLLM，这是一种基于大型语言模型（LLMs）和多模态大型语言模型（MLLMs）的方法，用于提高对文档的理解能力。LayoutLLM的核心在于一种布局指令调整策略，该策略专门设计用来增强模型对文档布局的理解和利用。这一策略包括布局感知预训练和布局感知监督微调两个主要组成部分，通过这些方法，LayoutLLM能够有效...
Compared to general LLMs, Sigma Geography has a deeper understanding of the language patterns, domain-specific terminology and professional knowledge in the field of geography, enabling it to better handle specialized issues, Su said. In addition to answering geographical questions, Sigma Geography can...
This approach draws inspiration from the BLIP-2 architecture, leveraging pre-trained frozen image encoders and large language models to create a versatile multi-modal LLM. Our work also offers an alternative to the reasoning segmentation method proposed in the LISA paper. By training the large ...
Compared to general LLMs, Sigma Geography has a deeper understanding of the language patterns, domain-specific terminology and professional knowledge in the field of geography, enabling it to better handle specialized issues, Su said. In addition to answering geographical questions, Sigma Geography can...
EMMA: Efficient Visual Alignment in Multi-Modal LLMs Multi-modal Large Language Models (MLLMs) have recently exhibited impressive general-purpose capabilities by leveraging vision foundation models to encode ... S Ghazanfari,A Araujo,P Krishnamurthy,... 被引量: 0发表: 2024年 Hybrid RAG-empowered...
This framework assesses the capabilities of multi-modal LLMs, such as GPT-4 with Vision (GPT-4V), Gemini Pro Vision, LLaVA-Med, and RadFM, in generating descriptions for prospectively-identified findings. By employing a decomposition technique based on GPT-4, GPTRadScore compares these ...
🧠 Related Work Explore our additional research onVision-Language Large Models, focusing on multi-modal LLMs and mathematical reasoning: Releases No releases published Packages No packages published