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The proposed ZeroGAR is the first systematic benchmark for evaluating the adversarial robustness of ZGMs and reveals that strong clean zero-shot performance does not guarantee adversarial robustness, with three key findings.
Hyper-Fold is introduced, a rank-K separable convolutional backbone approaching this ceiling at message-passing cost, suggesting that a sufficiently expressive 3D backbone recovers information that fusion architectures previously borrowed from evolution-scale pretraining.
Protein structure modeling rests on a single computational primitive: the interaction between what a residue is (sequence content) and where it sits (three-dimensional geometry). What is the expressive limit of this layer class? We show that the complete bilinear operator over content-geometry outer products--the suffi...
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