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State-of-the-art multimodal models excel in classification but falter in extracting critical data from scientific figures, revealing a significant gap in AI's reasoning capabilities.
The central challenge of ontology learning isn't model sophistication but rather how knowledge is structured and encoded, as revealed by a comprehensive evaluation using OntoLearner.