Document-grounded dialogue (DGD) uses documents as external knowledge for dialogue
generation. Correctly understanding the dialogue context is crucial for selecting knowledge …

Character expression (eg, extrovert or agreeable) is important for spoken dialogue systems
to achieve human-like dialogue. The appropriate character is different depending on each …

Conversational Recommendation Systems (CRSs) are multi-turn dialogue softwares that
support recommendation goals. Having a CRS that generates personalized recommen …

The rise of chatbots in applications like customer service and companionship highlights the
need for personalized experiences. Current limitations often cause user frustration and …

With the advent of large language models (LLMs), setting chatbot personalities via LLMs has
become an important topic to facilitate human-chatbot interaction. To provide clear …

Recently, significant advancements have been made in open-domain conversational agents
powered by Large Language Models (LLMs) trained on vast and diverse datasets. State-of …

Conversational agents (CAs) have matured at a tremendous rate. From GPT to GPT-4, the
world has witnessed an entire range of Large Language Models (LLMs) within five years …

One of the crucial features in developing a dialog system is the choice of an appropriate
speech style. This paper proposes a novel method for training a dialog model that can …

Many spoken dialogue systems such as smart speakers and conversational robots are used
in human society. Conversational robots or agents are given various social roles such as a …

Persona-based chatbots, which assume a specific human-like persona for chatbots, have
been studied to generate consistent and engaging responses. The common approach to this …