Dialogue Capability

Dialogue capability research focuses on enhancing the conversational abilities of artificial agents, aiming for more natural, engaging, and task-oriented interactions. Current efforts concentrate on improving model architectures, such as large language models (LLMs), to better handle complex conversational phenomena, including nuanced communication skills like empathy and topic management, often leveraging techniques like inner monologues and schema-guided dialogue management. These advancements are crucial for developing more sophisticated virtual assistants, chatbots, and embodied agents across various applications, from healthcare to customer service, ultimately improving human-computer interaction.