Artificial general intelligence (AGI) has gained global recognition as a future technology due
to the emergence of breakthrough large language models and chatbots such as GPT-4 and …

Large language models (LLMs) have significantly advanced the field of natural language
processing (NLP), providing a highly useful, task-agnostic foundation for a wide range of …

Geo-tagged images are publicly available in large quantities, whereas labels such as object
classes are rather scarce and expensive to collect. Meanwhile, contrastive learning has …

Humans live in a 3D world and commonly use natural language to interact with a 3D scene.
Modeling a 3D language field to support open-ended language queries in 3D has gained …

Segmentation is an essential step for remote sensing image processing. This study aims to
advance the application of the Segment Anything Model (SAM), an innovative image …

General-purpose foundation models have led to recent breakthroughs in artificial
intelligence (AI). In remote sensing, self-supervised learning (SSL) and masked image …

Temporal data, notably time series and spatio-temporal data, are prevalent in real-world
applications. They capture dynamic system measurements and are produced in vast …

Large language models (LLMs) have achieved great success in general domains of natural
language processing. In this paper, we bring LLMs to the realm of geoscience with the …

In this pioneering study, inspired by AutoGPT, the state-of-the-art open-source application
based on the GPT-4 large language model, we develop a novel tool called AD-AutoGPT …

Generating learning-friendly representations for points in space is a fundamental and long-
standing problem in machine learning. Recently, multi-scale encoding schemes (such as …