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Enzymatic reactions are more than just molecular transformations; a unified model now captures both molecular structure and catalytic function, bridging a critical domain gap.
Multimodal models can achieve significant image generation improvements by learning from their own critiques during test-time compute, effectively acting as their own recursive self-improvement mechanism.
DAPD eliminates privilege illusion in self-distillation, leading to consistent performance improvements across model scales.
SciReasoner achieves a remarkable 31% improvement in Cellular Component annotation for low-homology proteins, showcasing the power of structural reasoning in AI.
