1 citations · 1 across the 5 of their papers we have counts for
5 papers
DisasterVQA: A Visual Question Answering Benchmark Dataset for Disaster Scenes
Aisha Al-Mohannadi, Ayisha Firoz, Yin Yang +2
Social media imagery provides a low-latency source of situational information during natural and human-induced disasters, enabling rapid damage assessment and response. While Visua…
GeoResponder: Towards Building Geospatial LLMs for Time-Critical Disaster Response
Ahmed El Fekih Zguir, Ferda Ofli, Muhammad Imran
LLMs excel at linguistic tasks but lack the inner geospatial capabilities needed for time-critical disaster response, where reasoning about road networks, coordinates, and access t…
Detecting Actionable Requests and Offers on Social Media During Crises Using LLMs
Ahmed El Fekih Zguir, Ferda Ofli, Muhammad Imran
Natural disasters often result in a surge of social media activity, including requests for assistance, offers of help, sentiments, and general updates. To enable humanitarian organ…
Evaluating Robustness of LLMs on Crisis-Related Microblogs across Events, Information Types, and Linguistic Features
Muhammad Imran, Abdul Wahab Ziaullah, Kai Chen +1
The widespread use of microblogging platforms like X (formerly Twitter) during disasters provides real-time information to governments and response authorities. However, the data f…
Monitoring Critical Infrastructure Facilities During Disasters Using Large Language Models
Abdul Wahab Ziaullah, Ferda Ofli, Muhammad Imran
Critical Infrastructure Facilities (CIFs), such as healthcare and transportation facilities, are vital for the functioning of a community, especially during large-scale emergencies…