Proactive dialogue systems, related to a wide range of real-world conversational
applications, equip the conversational agent with the capability of leading the conversation …

Despite advancements in conversational AI, language models encounter challenges to
handle diverse conversational tasks, and existing dialogue dataset collections often lack …

Conversational systems are envisioned to provide social support or functional service to
human users via natural language interactions. Conventional conversation researches …

Recent research on proactive conversational agents (PCAs) mainly focuses on improving
the system's capabilities in anticipating and planning action sequences to accomplish tasks …

Task-oriented Dialogue (TOD) Systems aim to build dialogue systems that assist users in
accomplishing specific goals, such as booking a hotel or a restaurant. Traditional TODs rely …

Conversational systems are designed to offer human users social support or functional
services through natural language interactions. Typical conversation researches mainly …

As a recent development, task-oriented dialogues (TODs) have been enriched with chitchat
in an effort to make dialogues more diverse and engaging. This enhancement is particularly …

Existing studies in conversational AI mostly treat task-oriented dialog (TOD) and question
answering (QA) as separate tasks. Towards the goal of constructing a conversational agent …

The success of task-oriented and document-grounded dialogue systems depends on users
accepting and enjoying using them. To achieve this, recently published work in the field of …

Constructing responses in task-oriented dialogue systems typically relies on information
sources such the current dialogue state or external databases. This paper presents a novel …