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Explicit cross-molecular surface orientations—rather than standard pairwise scalar distances—unlock a 32.5% surge in antibody affinity optimization while cutting CDR structural errors by 15%.
LLMs can be sped up by over 2x without sacrificing accuracy, by compressing the input and predicting multiple output tokens at once using a unified framework.
End-to-end retrosynthetic planning, previously reliant on fragmented prediction-search hybrids, now achieves state-of-the-art performance thanks to a unified, reasoning-driven generative framework.