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T2I models can be effectively probed for identity memorization without any access to training data, revealing surprising differences in how they handle famous versus less recognized names.
Weak audio supervision allows ReNikud to achieve superior grapheme-to-phoneme conversion for Hebrew, outperforming traditional methods that struggle with data scarcity and pronunciation accuracy.
