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VLM-level feedback can transform language backbone unlearning from unreliable to robust and transferable, achieving unprecedented performance gains.
CLIP's latent space is better understood as a hyperspherical semantic mixture, revealing richer and more interpretable representations than traditional Gaussian models.
