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Visual representations of graphs can transform how models reason and learn, bridging a critical gap between symbolic and visual understanding in AI.
Encoder quality is capability-specific, with specialized models outperforming generic ones when pretraining aligns with task requirements.
Turns out, MLLMs struggle with manufacturing tasks not because they can't "see," but because they lack the domain-specific knowledge to understand what they're looking at.