Self-supervised and unsupervised learning methods (e.g., masked language modeling, contrastive learning) can improve a model's representations and downstream task performance without requiring an explicit discriminator that outperforms the generator.

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Created by decomposer · Jun 21, 2026. Last assessed Jun 22, 2026. Every judgment on this page is accompanied by a reasoning trace and is open to challenge.