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Automating peer review to survive the flood of AI-generated papers creates an exploitable adversarial loop, incentivizing authors to game predictable evaluators and ultimately corrupting the downstream corpus used to train future frontier models.
GloResNet leverages global topological features to achieve impressive accuracy in predicting brain injuries in preterm infants, even with limited data.
