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Related papers: The Potential of Visual ChatGPT For Remote Sensing

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Recently, the flourishing large language models(LLM), especially ChatGPT, have shown exceptional performance in language understanding, reasoning, and interaction, attracting users and researchers from multiple fields and domains. Although…

Computer Vision and Pattern Recognition · Computer Science 2024-01-18 Haonan Guo , Xin Su , Chen Wu , Bo Du , Liangpei Zhang , Deren Li

Recently, the remarkable success of ChatGPT has sparked a renewed wave of interest in artificial intelligence (AI), and the advancements in visual language models (VLMs) have pushed this enthusiasm to new heights. Differring from previous…

Artificial Intelligence · Computer Science 2025-01-03 Lijie Tao , Haokui Zhang , Haizhao Jing , Yu Liu , Dawei Yan , Guoting Wei , Xizhe Xue

The remarkable achievements of ChatGPT and GPT-4 have sparked a wave of interest and research in the field of large language models for Artificial General Intelligence (AGI). These models provide intelligent solutions close to human…

Computer Vision and Pattern Recognition · Computer Science 2024-04-03 Xiang Li , Congcong Wen , Yuan Hu , Zhenghang Yuan , Xiao Xiang Zhu

Multi-modal large language models (MLLMs) have demonstrated remarkable success in vision and visual-language tasks within the natural image domain. Owing to the significant diversities between the natural and remote sensing (RS) images, the…

Computer Vision and Pattern Recognition · Computer Science 2024-03-11 Wei Zhang , Miaoxin Cai , Tong Zhang , Yin Zhuang , Xuerui Mao

While large language models (LLMs) like ChatGPT have shown impressive capabilities in Natural Language Processing (NLP) tasks, a systematic investigation of their potential in this field remains largely unexplored. This study aims to…

Computation and Language · Computer Science 2025-08-26 Libo Qin , Qiguang Chen , Xiachong Feng , Yang Wu , Yongheng Zhang , Yinghui Li , Min Li , Wanxiang Che , Philip S. Yu

The mainstream paradigm of remote sensing image interpretation has long been dominated by vision-centered models, which rely on visual features for semantic understanding. However, these models face inherent limitations in handling…

Artificial Intelligence · Computer Science 2026-01-28 Haifeng Li , Wang Guo , Haiyang Wu , Mengwei Wu , Jipeng Zhang , Qing Zhu , Yu Liu , Xin Huang , Chao Tao

Large language models (LLMs), such as ChatGPT, have demonstrated impressive capabilities in various tasks and attracted an increasing interest as a natural language interface across many domains. Recently, large vision-language models…

Computer Vision and Pattern Recognition · Computer Science 2025-09-01 Zhihao Chen , Bin Hu , Chuang Niu , Tao Chen , Yuxin Li , Hongming Shan , Ge Wang

Large language models (LLMs) have recently demonstrated their potential in clinical applications, providing valuable medical knowledge and advice. For example, a large dialog LLM like ChatGPT has successfully passed part of the US medical…

Computer Vision and Pattern Recognition · Computer Science 2023-02-15 Sheng Wang , Zihao Zhao , Xi Ouyang , Qian Wang , Dinggang Shen

Conversation agents fueled by Large Language Models (LLMs) are providing a new way to interact with visual data. While there have been initial attempts for image-based conversation models, this work addresses the under-explored field of…

Computer Vision and Pattern Recognition · Computer Science 2024-06-11 Muhammad Maaz , Hanoona Rasheed , Salman Khan , Fahad Shahbaz Khan

Large Language Models (LLMs) have revo lutionized natural language processing Natural Language Processing (NLP), with Chat Generative Pre-trained Transformer (ChatGPT) standing out as a notable exampledue to its advanced capabilities and…

Computation and Language · Computer Science 2025-03-25 Azim Akhtarshenas , Afshin Dini , Navid Ayoobi

In recent years, the emergence of models capable of generating images from text has attracted considerable interest, offering the possibility of creating realistic images from text descriptions. Yet these advances have also raised concerns…

Computer Vision and Pattern Recognition · Computer Science 2024-04-04 Mamadou Keita , Wassim Hamidouche , Hassen Bougueffa , Abdenour Hadid , Abdelmalik Taleb-Ahmed

Vision-language modeling (VLM) aims to bridge the information gap between images and natural language. Under the new paradigm of first pre-training on massive image-text pairs and then fine-tuning on task-specific data, VLM in the remote…

Computer Vision and Pattern Recognition · Computer Science 2025-06-11 Xingxing Weng , Chao Pang , Gui-Song Xia

This paper investigates the novel application of Large Language Models (LLMs) with vision capabilities to analyze satellite imagery for village-level poverty prediction. Although LLMs were originally designed for natural language…

Computer Vision and Pattern Recognition · Computer Science 2025-01-27 Hamid Sarmadi , Ola Hall , Thorsteinn Rögnvaldsson , Mattias Ohlsson

In this paper, we aimed to provide a review and tutorial for researchers in the field of medical imaging using language models to improve their tasks at hand. We began by providing an overview of the history and concepts of language models,…

Computer Vision and Pattern Recognition · Computer Science 2023-04-12 Mingzhe Hu , Shaoyan Pan , Yuheng Li , Xiaofeng Yang

ChatGPT, as a recently launched large language model (LLM), has shown superior performance in various natural language processing (NLP) tasks. However, two major limitations hinder its potential applications: (1) the inflexibility of…

Computation and Language · Computer Science 2023-09-20 Yucheng Shi , Hehuan Ma , Wenliang Zhong , Qiaoyu Tan , Gengchen Mai , Xiang Li , Tianming Liu , Junzhou Huang

ChatGPT has drawn considerable attention from both the general public and domain experts with its remarkable text generation capabilities. This has subsequently led to the emergence of diverse applications in the field of biomedicine and…

Large language models (LLMs) have made significant advancements in natural language understanding. However, through that enormous semantic representation that the LLM has learnt, is it somehow possible for it to understand images as well?…

Computer Vision and Pattern Recognition · Computer Science 2024-07-12 Mu Cai , Zeyi Huang , Yuheng Li , Utkarsh Ojha , Haohan Wang , Yong Jae Lee

Over the last few years, large language models (LLMs) have emerged as the most important breakthroughs in natural language processing (NLP) that fundamentally transform research and developments in the field. ChatGPT represents one of the…

Computation and Language · Computer Science 2023-04-13 Viet Dac Lai , Nghia Trung Ngo , Amir Pouran Ben Veyseh , Hieu Man , Franck Dernoncourt , Trung Bui , Thien Huu Nguyen

The upsurge in pre-trained large models started by ChatGPT has swept across the entire deep learning community. Such powerful models demonstrate advanced generative ability and multimodal understanding capability, which quickly set new…

Computer Vision and Pattern Recognition · Computer Science 2025-02-28 Ning Ding , Yehui Tang , Zhongqian Fu , Chao Xu , Kai Han , Yunhe Wang

With the rapid evolution of Natural Language Processing (NLP), Large Language Models (LLMs) like ChatGPT have emerged as powerful tools capable of transforming various sectors. Their vast knowledge base and dynamic interaction capabilities…

Computers and Society · Computer Science 2024-01-02 Kevin Wang , Jason Ramos , Ramon Lawrence
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