From Terminology to Diagrams: Visual-Instruction Generation for Scientific Diagram Understanding
A framework for generating large-scale diagram-grounded instruction data by leveraging terminology derived from scientific curricula is introduced, and augmenting existing models such as LLaVA OneVision with SciGram establishes new state-of-the-art performance on diagram question answering.
Raúl Ortega, José Manuél Gómez-Pérez
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