Developing a successful dialogue policy for a multi-domain task-oriented dialogue (MDTD)
system is a challenging task. Basically, a desirable dialogue policy acts as the decision …

Planning for goal-oriented dialogue often requires simulating future dialogue interactions
and estimating task progress. Many approaches thus consider training neural networks to …

Identifying the right moment for a system to take the initiative is essential to conversational
information seeking (CIS). Existing studies have extensively studied the clarification need …

Multi-action dialog policy (MADP), which generates multiple atomic dialog actions per turn,
has been widely applied in task-oriented dialog systems to provide expressive and efficient …

This paper reports a new method that improves the response speed in spoken dialogue
systems that use large language models. In existing systems, the start of the chatbot's …