Revolutionizing Task-Oriented Dialogues: How FnCTOD Enhances Zero-Shot Dialogue State Tracking with Large Language Models

The seamless integration of Large Language Models (LLMs) into conversational systems has transformed how machines understand and generate human language. This transformation is especially pronounced in general contexts where LLMs excel at generating coherent and contextually appropriate responses. When it comes to task-oriented dialogues (TOD), conversations are designed around completing specific tasks within defined domains. […]

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