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GEAR slashes inference time by up to 2866 times while boosting AUC scores beyond conventional supervised models.
HydroAgent achieves up to 84% correlation in flood predictions by embedding expert rules into LLM-driven workflows, transforming tacit knowledge into structured decision-making.
IG-GAN slashes aerodynamic data generation errors by up to 97% by harnessing the power of intrinsic geometry.
