Large language models (LLMs) exhibit impressive capabilities across diverse tasks in
natural language processing. Nevertheless, challenges arise such as large model …

In the modern era, Islamic primary education in Indonesia faces the challenge of designing a
curriculum that is both innovative and responsive to the needs of parents and students. This …

Humans subconsciously engage in geospatial reasoning when reading articles. We
recognize place names and their spatial relations in text and mentally associate them with …

Large Language Models (LLMs) such as GPT, BART, and Gemini stand at the forefront of
Generative Artificial Intelligence, showcasing remarkable prowess in natural language …

While utilizing Twitter data for crisis management is of interest to different response
authorities, a critical challenge that hinders the utilization of such data is the scarcity of …

Historical news media reports serve as a vital data source for understanding the risk of
urban ground collapse (UGC) events. At present, the application of large language models …

Natural language texts, such as tweets and news, contain a vast amount of geospatial
information, which can be extracted by first recognizing toponyms in texts (toponym …

In this paper, we investigate and evaluate large language models' capability in location
prediction. We present experimental results with four models—FLAN-T5, FLAN-UL2, FLAN …

Globally, there are different scientific methods being developed to support the provision of
Impact-based Forecasts and Warnings. Impact data is critically valuable to many of these …

In human reading and communication, individuals tend to engage in geospatial reasoning,
which involves recognizing geographic entities and making informed inferences about their …