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SAMA achieves unprecedented performance in multimodal information extraction tasks by generating contextually rich synthetic data that maintains semantic integrity.
Geometry dictates model performance in relational learning, with rankings shifting dramatically across curvature regimes, challenging the reliability of standard evaluation practices.
