Dialogue Manager

Dialogue managers are core components of conversational AI systems, aiming to guide interactions towards desired goals by selecting appropriate responses. Current research emphasizes improving dialogue manager performance through advanced model architectures like graph neural networks and language transformers, often incorporating external knowledge sources and multimodal inputs (e.g., visual data) to enhance contextual understanding. A significant focus is on addressing data quality issues, as dataset errors significantly impact model accuracy, and efforts are underway to create more robust and diverse datasets. These advancements are crucial for creating more natural, engaging, and effective human-computer interactions across various applications, including customer service, healthcare, and robotics.