SlideAgent: Hierarchical Agentic Framework for Multi-Page Visual Document Understanding
Researchers have developed SlideAgent, a novel framework designed to enhance the understanding of complex, multi-page visual documents like slide decks. This agentic system breaks down document analysis into hierarchical levels—global, page, and element—allowing for more precise reasoning over both visual and textual information. Experiments demonstrate that SlideAgent significantly outperforms existing proprietary and open-source models in document comprehension tasks. AI
IMPACT Enhances AI's ability to process and reason over complex visual documents, potentially improving applications in research, business intelligence, and education.