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Current multimodal models excel at basic character recognition but struggle significantly with deeper linguistic and historical analyses, revealing critical gaps in their capabilities.
DiffMath achieves superior handwritten mathematical expression generation without costly spatial supervision, leveraging a novel latent diffusion approach that enhances both structure and accuracy.
