Crisis Observatory: Extracting Credible Signals During a Crisis in the Age of LLMs
K. Lo, P. Maneriker, S. Sai Ganesh, and 8 more authors
IEEE International Conference on Data Mining, Washington, D.C., Nov 2025
Systems for crisis response have required several different models for the analysis of unstructured text, such as identifying needs, locations, topics, routing, and matching of needs with available responders. Large Language Models (LLMs) have replaced task-specific models across various language processing tasks. However, LLMs are known to be limited by their training data, collected before the crisis. In this demo, we explore the use of LLMs for crisis response scenarios with rapidly evolving information environments. We show how augmentation of these models with external reliable sources of crisis-specific information can help build adaptive systems for response.
