LLM-Assisted Crisis Management: Building Advanced LLM Platforms for Effective Emergency Response and Public Collaboration

arXiv:2402.10908v1 Announce Type: cross
Abstract: Emergencies and critical incidents often unfold rapidly, necessitating a swift and effective response. In this research, we introduce a novel approach to identify and classify emergency situations from social media posts and direct emergency messages using an open source Large Language Model, LLAMA2. The goal is to harness the power of natural language processing and machine learning to assist public safety telecommunicators and huge crowds during countrywide emergencies. Our research focuses on developing a language …

abstract advanced arxiv building collaboration crisis cs.ai cs.cl cs.hc cs.lg emergencies emergency emergency response identify language large language llm management media messages novel open source platforms public research social social media swift type