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University of Chicago
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OpenAIReview + GPT-5.5 not only predicts paper quality with 83% accuracy but also detects over 71% of critical errors, showcasing the promise of AI in peer review.
Black-box knowledge distillation can be significantly improved by synthesizing diverse image priors and using contrastive learning to enhance the distinctions between synthetic samples.
Augmenting few-shot knowledge distillation with adaptively selected, teacher-confident GAN-generated images dramatically boosts student accuracy.
