In recent years, conversational agents (CAs) have become ubiquitous and are a presence in
our daily routines. It seems that the technology has finally ripened to advance the use of CAs …

Pre-trained language models (PLMs) have been the de facto paradigm for most natural
language processing tasks. This also benefits the biomedical domain: researchers from …

In this paper, we present HuatuoGPT, a large language model (LLM) for medical
consultation. The core recipe of HuatuoGPT is to leverage both\textit {distilled data from …

The utilization of large language models (LLMs) in the Healthcare domain has generated
both excitement and concern due to their ability to effectively respond to freetext queries with …

Dialogue systems have achieved growing success in many areas thanks to the rapid
advances of machine learning techniques. In the quest for generating more human-like …

Medical dialogue systems are promising in assisting in telemedicine to increase access to
healthcare services, improve the quality of patient care, and reduce medical costs. To …

Smart healthcare has achieved significant progress in recent years. Emerging artificial
intelligence (AI) technologies enable various smart applications across various healthcare …

Automatic pulmonary nodules classification is significant for early diagnosis of lung cancers.
Recently, deep learning techniques have enabled remarkable progress in this field …

Task-oriented dialogue systems are increasingly prevalent in healthcare settings, and have
been characterized by a diverse range of architectures and objectives. Although these …

Deep reinforcement learning (DRL) is poised to revolutionise the field of artificial intelligence
(AI) by endowing autonomous systems with high levels of understanding of the real world …