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A single benchmark now rigorously tests how AI models interpret scientific figures to predict, explain, and discover biological mechanisms, moving beyond mere simulation.
LION achieves unprecedented performance in multimodal graph tasks by effectively aligning and fusing modalities through a novel Clifford algebra framework.
Neglecting the structural differences in candidate negatives can lead to suboptimal recommendations, but SAHC-NS adapts to these variations, enhancing sample quality and model performance.
