Dialogue Goal

Dialogue goal research focuses on designing systems that effectively achieve specific conversational objectives, ranging from task completion to emotional support. Current efforts concentrate on developing models, often leveraging large language models and reinforcement learning, that can anticipate future dialogue turns and strategically plan actions to optimize goal attainment, incorporating factors like user emotional state and demographic considerations. This research is significant for advancing human-computer interaction, improving the effectiveness of customer service, mental health support systems, and other applications requiring nuanced and goal-oriented conversations.