AI RESEARCH

Cross-Modal Rationale Transfer for Explainable Humanitarian Classification on Social Media

arXiv CS.CL

ArXi:2603.18611v1 Announce Type: new Advances in social media data dissemination enable the provision of real-time information during a crisis. The information comes from different classes, such as infrastructure damages, persons missing or stranded in the affected zone, etc. Existing methods attempted to classify text and images into various humanitarian categories, but their decision-making process remains largely opaque, which affects their deployment in real-life applications.