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Recently, the intersection of Large Language Models (LLMs) and Computer Vision (CV) has emerged as a pivotal area of research, driving significant advancements in the field of Artificial Intelligence (AI). As transformers have become the…

Computer Vision and Pattern Recognition · Computer Science 2023-11-29 Raby Hamadi

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

This work investigates the use of large language models (LLMs) for tasks in smart cities. The core idea is to leverage remote sensing imagery to characterize the built environment, including design suggestions, constructability assessment,…

Computation and Language · Computer Science 2026-05-12 Dongdong Wang , Deepak Balakrishnan , Ravi Srinivasan , Shenhao Wang

The rapid progression in artificial intelligence has facilitated the emergence of large language models like ChatGPT, offering potential applications extending into specialized engineering modeling, especially physics-based building energy…

Human-Computer Interaction · Computer Science 2024-11-18 Liang Zhang , Zhelun Chen , Vitaly Ford

Recent advancements in Artificial Intelligence (AI), particularly with Large Language Models (LLMs), have led to significant progress in narrow tasks such as image classification, language translation, coding, and writing. However, these…

Artificial Intelligence · Computer Science 2024-12-02 Daniel A. Dollinger , Michael Singleton

Large Language Models (LLMs), such as ChatGPT, demonstrate a strong understanding of human natural language and have been explored and applied in various fields, including reasoning, creative writing, code generation, translation, and…

Artificial Intelligence · Computer Science 2023-05-30 Zhenlong Li , Huan Ning

In this paper, we introduce the task of visual grounding for remote sensing data (RSVG). RSVG aims to localize the referred objects in remote sensing (RS) images with the guidance of natural language. To retrieve rich information from RS…

Computer Vision and Pattern Recognition · Computer Science 2023-05-03 Yang Zhan , Zhitong Xiong , Yuan Yuan

Search engines enable the retrieval of unknown information with texts. However, traditional methods fall short when it comes to understanding unfamiliar visual content, such as identifying an object that the model has never seen before.…

Computer Vision and Pattern Recognition · Computer Science 2024-10-29 Zhixin Zhang , Yiyuan Zhang , Xiaohan Ding , Xiangyu Yue

Recent advancements in specialized large-scale architectures for training image and language have profoundly impacted the field of computer vision and natural language processing (NLP). Language models, such as the recent ChatGPT and GPT4…

Biomolecules · Quantitative Biology 2023-05-04 Sergio Romero-Romero , Sebastian Lindner , Noelia Ferruz

In recent years, the study of artificial intelligence (AI) has undergone a paradigm shift. This has been propelled by the groundbreaking capabilities of generative models both in supervised and unsupervised learning scenarios. Generative AI…

Machine Learning · Computer Science 2024-05-21 Sandeep Singh Sengar , Affan Bin Hasan , Sanjay Kumar , Fiona Carroll

Data visualizations are powerful tools for communicating patterns in quantitative data. Yet understanding any data visualization is no small feat -- succeeding requires jointly making sense of visual, numerical, and linguistic inputs…

Human-Computer Interaction · Computer Science 2025-05-26 Arnav Verma , Kushin Mukherjee , Christopher Potts , Elisa Kreiss , Judith E. Fan

In recent years, large language models (LLMs) have driven major advances in language understanding, marking a significant step toward artificial general intelligence (AGI). With increasing demands for higher-level semantics and cross-modal…

Computation and Language · Computer Science 2025-09-30 Yuntao Shou , Tao Meng , Wei Ai , Keqin Li

This study explores the capabilities of multimodal large language models (LLMs) in handling challenging multistep tasks that integrate language and vision, focusing on model steerability, composability, and the application of long-term…

Artificial Intelligence · Computer Science 2023-12-20 David Noever , Samantha Elizabeth Miller Noever

Capitalizing on the remarkable advancements in Large Language Models (LLMs), there is a burgeoning initiative to harness LLMs for instruction following robotic navigation. Such a trend underscores the potential of LLMs to generalize…

Computer Vision and Pattern Recognition · Computer Science 2024-09-23 Gengze Zhou , Yicong Hong , Zun Wang , Xin Eric Wang , Qi Wu

The evolution of text to visual components facilitates people's daily lives, such as generating image, videos from text and identifying the desired elements within the images. Computer vision models involving the multimodal abilities in the…

Computer Vision and Pattern Recognition · Computer Science 2024-03-25 Chris Kelly , Luhui Hu , Jiayin Hu , Yu Tian , Deshun Yang , Bang Yang , Cindy Yang , Zihao Li , Zaoshan Huang , Yuexian Zou

Engineering design is undergoing a transformative shift with the advent of AI, marking a new era in how we approach product, system, and service planning. Large language models have demonstrated impressive capabilities in enabling this…

Artificial Intelligence · Computer Science 2024-12-10 Cyril Picard , Kristen M. Edwards , Anna C. Doris , Brandon Man , Giorgio Giannone , Md Ferdous Alam , Faez Ahmed

The field of Artificial Intelligence (AI) continues to drive transformative innovations, with significant progress in conversational interfaces, autonomous vehicles, and intelligent content creation. Since the launch of ChatGPT in late…

Computation and Language · Computer Science 2025-01-13 Hussain Ahmad , Diksha Goel

Large models have emerged as the most recent groundbreaking achievements in artificial intelligence, and particularly machine learning. However, when it comes to graphs, large models have not achieved the same level of success as in other…

Machine Learning · Computer Science 2023-11-14 Ziwei Zhang , Haoyang Li , Zeyang Zhang , Yijian Qin , Xin Wang , Wenwu Zhu

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

Large language models (LLMs) have notably accelerated progress towards artificial general intelligence (AGI), with their impressive zero-shot capacity for user-tailored tasks, endowing them with immense potential across a range of…

Computer Vision and Pattern Recognition · Computer Science 2023-05-26 Wenhai Wang , Zhe Chen , Xiaokang Chen , Jiannan Wu , Xizhou Zhu , Gang Zeng , Ping Luo , Tong Lu , Jie Zhou , Yu Qiao , Jifeng Dai