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Speaker drift, a subtle but pervasive flaw in modern TTS, can now be automatically detected by prompting LLMs with geometric representations of speaker embeddings.
You can slash the text encoder size in vision-language segmentation models by 88% without sacrificing performance, thanks to surprisingly high redundancy in how these models process prompts.
