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LCAR slashes hallucination failures by over 50% in LLM-based ASR systems without any additional training or external models.
Joint residual reweighting allows for enhanced speaker fidelity in zero-shot TTS while maintaining text accuracy, challenging the conventional trade-offs in guidance methods.