Schema Guided Dialogue

Schema-guided dialogue focuses on building conversational AI systems that effectively manage interactions based on predefined structures (schemas) representing the task domain. Current research emphasizes improving the naturalness and robustness of these systems, particularly by addressing challenges like indirect user requests and generalization to unseen domains. This involves exploring various model architectures, including non-autoregressive transformers and graph neural networks, and leveraging techniques like synthetic data generation and in-context learning to enhance performance and data efficiency. Advances in schema-guided dialogue are crucial for developing more human-like and adaptable conversational agents for diverse applications, such as virtual assistants and interactive tutoring systems.