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Air University
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Test-time self-correction can boost LLM accuracy by over 30% on challenging reasoning tasks without the need for external reward models.
Forget fancy distillation losses: simple feature-based knowledge distillation, given enough compute, lets a ResNet-18 student nearly match a ResNet-101 teacher in semantic segmentation.
