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This paper presents an empirical evaluation of LLM-guided semi-supervised learning for classifying social media crisis data. It demonstrates that LG-CoTrain outperforms classical baselines in low-resource settings and highlights the potential of transferring knowledge from LLMs to smaller, deployable models for disaster response.
OpenAI, the Gates Foundation, and ADPC hosted an inaugural AI Jam in Bangkok bringing together 50 disaster management leaders from 13 Asian countries to develop practical AI applications for emergency response. The initiative aims to help governments and nonprofits use AI to improve coordination, data management, and decision-making in disaster situations.
The Universities Space Research Association and Meta are collaborating to apply the Segment Anything Model to support USGS water observing systems for flood emergency response.