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Large language models (LLMs) are a transformational capability at the frontier of artificial intelligence and machine learning that can support decision-makers in addressing pressing societal challenges such as extreme natural hazard…

Large language models (LLMs) have significantly transformed the landscape of artificial intelligence by demonstrating their ability in generating human-like text across diverse topics. However, despite their impressive capabilities, LLMs…

With the increasing impacts of climate change, there is a growing demand for accessible tools that can provide reliable future climate information to support planning, finance, and other decision-making applications. Large language models…

Machine Learning · Computer Science 2024-11-22 Yang Wang , Hassan A. Karimi

The development of plans of action in disaster response scenarios is a time-consuming process. Large Language Models (LLMs) offer a powerful solution to expedite this process through in-context learning. This study presents…

Machine Learning · Computer Science 2023-07-03 Vinicius G. Goecks , Nicholas R. Waytowich

As multiple crises threaten the sustainability of our societies and pose at risk the planetary boundaries, complex challenges require timely, updated, and usable information. Natural-language processing (NLP) tools enhance and expand data…

Computers and Society · Computer Science 2025-02-05 Francesca Larosa , Sergio Hoyas , H. Alberto Conejero , Javier Garcia-Martinez , Francesco Fuso Nerini , Ricardo Vinuesa

Large Language Models (LLMs) and, more specifically, the Generative Pre-Trained Transformers (GPT) can help stakeholders in climate action explore digital knowledge bases and extract and utilize climate action knowledge in a sustainable…

Computers and Society · Computer Science 2024-02-02 Denis Havlik , Marcelo Pias

Current state-of-the-art approaches to wildfire risk assessment often overlook operational needs, limiting their practical value for first responders and firefighting services. Effective wildfire management requires a multi-target analysis…

Machine Learning · Computer Science 2026-01-21 Nicolas Caron , Christophe Guyeux , Hassan Noura , Benjamin Aynes

This paper introduces a novel framework, Tree-GPT, which incorporates Large Language Models (LLMs) into the forestry remote sensing data workflow, thereby enhancing the efficiency of data analysis. Currently, LLMs are unable to extract or…

Computer Vision and Pattern Recognition · Computer Science 2023-10-10 Siqi Du , Shengjun Tang , Weixi Wang , Xiaoming Li , Renzhong Guo

The rapid advancement of Large Language Models (LLMs) has revolutionized various sectors by automating routine tasks, marking a step toward the realization of Artificial General Intelligence (AGI). However, they still struggle to…

Machine Learning · Computer Science 2024-02-21 Zihao Tang , Zheqi Lv , Shengyu Zhang , Fei Wu , Kun Kuang

As Large Language Models (LLMs) rise in popularity, it is necessary to assess their capability in critically relevant domains. We present a comprehensive evaluation framework, grounded in science communication research, to assess LLM…

Wildfires are a growing threat to ecosystems, human lives, and infrastructure, with their frequency and intensity rising due to climate change and human activities. Early detection is critical, yet satellite-based monitoring remains…

Computer Vision and Pattern Recognition · Computer Science 2026-05-04 Aydin Ayanzadeh , Prakhar Dixit , Sadia Kamal , Milton Halem

Effective disaster response is essential for safeguarding lives and property. Existing statistical approaches often lack semantic context, generalize poorly across events, and offer limited interpretability. While Large language models…

Artificial Intelligence · Computer Science 2026-05-05 Yiheng Chen , Lingyao Li , Zihui Ma , Qikai Hu , Yilun Zhu , Min Deng , Runlong Yu

Large language models (LLMs) have revolutionized scientific research with their exceptional capabilities and transformed various fields. Among their practical applications, LLMs have been playing a crucial role in mitigating threats to…

Computation and Language · Computer Science 2025-08-26 Zhenyu Lei , Yushun Dong , Weiyu Li , Rong Ding , Qi Wang , Jundong Li

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

Large Language Models (LLMs), typified by OpenAI's GPT, have marked a significant advancement in artificial intelligence. Trained on vast amounts of text data, LLMs are capable of understanding and generating human-like text across a…

Artificial Intelligence · Computer Science 2024-10-29 Haochen Zhang , Yuyang Dong , Chuan Xiao , Masafumi Oyamada

Climate change poses grave challenges, demanding widespread understanding and low-carbon lifestyle awareness. Large language models (LLMs) offer a powerful tool to address this crisis, yet comprehensive evaluations of their climate-crisis…

Computation and Language · Computer Science 2024-07-02 Hongyin Zhu , Prayag Tiwari

Climate change is one of the most significant challenges we face together as a society. Creating awareness and educating policy makers the wide-ranging impact of climate change is an essential step towards a sustainable future. Recently,…

The widespread adoption of large language models (LLMs), such as OpenAI's ChatGPT, could revolutionize various industries, including geotechnical engineering. However, GPT models can sometimes generate plausible-sounding but false outputs,…

Computation and Language · Computer Science 2023-06-22 Krishna Kumar

As the issue of global climate change becomes increasingly severe, the demand for research in climate science continues to grow. Natural language processing technologies, represented by Large Language Models (LLMs), have been widely applied…

Computation and Language · Computer Science 2025-06-18 Zhou Chen , Xiao Wang , Yuanhong Liao , Ming Lin , Yuqi Bai

In recent times, the grandeur of Large Language Models (LLMs) has not only shone in the realm of natural language processing but has also cast its brilliance across a vast array of applications. This remarkable display of LLM capabilities…

Computation and Language · Computer Science 2024-03-22 Hanieh Alipour , Nick Pendar , Kohinoor Roy
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