Commonsense Augmented Dialogue

Commonsense augmented dialogue focuses on improving conversational AI by incorporating real-world knowledge and reasoning abilities, aiming for more natural and engaging interactions. Current research emphasizes integrating external knowledge graphs with large language models (LLMs) using techniques like graph neural networks and explicit reasoning steps to enhance response generation and improve the understanding of implicit information within conversations. This field is significant because it addresses a key limitation of current conversational AI, paving the way for more human-like and contextually aware dialogue systems with applications in various fields, including customer service and virtual assistants.