Dialogue systems are a popular natural language processing (NLP) task as it is promising in
real-life applications. It is also a complicated task since many NLP tasks deserving study are …

Maintaining consistent personas is essential for dialogue agents. Although tremendous
advancements have been brought, the limited-scale of annotated persona-dense data are …

In recent years, Dialogue-style Large Language Models (LLMs) such as ChatGPT and GPT4
have demonstrated immense potential in constructing open-domain dialogue agents …

Responding with multi-modal content has been recognized as an essential capability for an
intelligent conversational agent. In this paper, we introduce the MMDialog dataset to better …

Natural Language Generation (NLG) has made great progress in recent years due to the
development of deep learning techniques such as pre-trained language models. This …

In our modern, fast-paced, and interconnected world, the importance of mental well-being
has grown into a matter of great urgency. However, traditional methods such as Emotional …

In order to build self-consistent personalized dialogue agents, previous research has mostly
focused on textual persona that delivers personal facts or personalities. However, to fully …

Human–computer conversation has long been an interest of artificial intelligence and
natural language processing research. Recent years have seen a dramatic improvement in …

The personalized dialogue explores the consistent relationship between dialogue
generation and personality. Existing personalized dialogue agents model persona profiles …

As a more natural and intelligent interaction manner, multimodal task-oriented dialog system
recently has received great attention and many remarkable progresses have been achieved …