Extracting Disaster Impacts and Impact Related Locations in Social Media Posts Using Large Language Models

This article, sourced from ArXiv, focuses on utilizing Large Language Models (LLMs) to analyze social media posts for information related to disaster impacts and affected locations. The research likely explores the application of LLMs for information extraction, potentially improving disaster response and situational awareness. The focus on social media data suggests an interest in real-time information gathering and analysis.