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SuperValid: Capability-Aligned OOD Validation for Generalizable Downstream Scaling
Scaling laws guide large language model training by relating compute to cross-entropy loss, and recent work further extends them to predict downstream benchmark performance. However, prior approaches face generalization limitations from two aspects: focusing on benchmark-level performance introduces
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