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MD-ProTector achieves unprecedented accuracy in distinguishing LLM-generated text by leveraging multiple prototypes to capture nuanced variations within text classes.
Achieving an 11.22x reduction in GPU memory usage for long-form dialog synthesis without sacrificing audio quality could revolutionize TTS applications.