A new study demonstrates that large language model (LLM) guided semi-supervised learning methods significantly improve the classification of crisis-related tweets, outperforming traditional approaches in low-resource settings. This advancement suggests a promising avenue for enhancing disaster response applications through more efficient data analysis techniques.