Article

Advancing Multimodal Visual Analytics for Disaster Management with LLM-Enhanced CLIP

2026-06-23

Abstract excerpt

The increasing volume of visual and textual data shared on social media during disasters offers valuable opportunities for improving situational awareness, yet poses significant challenges for reliable automated analysis. This study introduces LLM2CLIP, a vision–language framework designed to enhance multimodal disaster classification by integrating visual cues with linguistically grounded textual representations....

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Literature Corpus work: 2254ef16-779f-55e8-a795-80bb6967d7a1
DOI: 10.20944/preprints202606.1671.v1

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