Large language models (LMs) offer unprecedented language generation capabilities and
exciting opportunities for interaction design. However, their highly context-dependent …

Pretrained language models such as BERT, GPT have shown great effectiveness in
language understanding. The auxiliary predictive tasks in existing pretraining approaches …

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 …

Discriminativeness is a desirable feature of image captions: captions should describe the
characteristic details of input images. However, recent high-performing captioning models …

Using natural language processing (NLP) technologies to develop medical chatbots makes
the diagnosis of the patient more convenient and efficient, which is a typical application in …

Under the pandemic of COVID-19, people experiencing COVID19-related symptoms or
exposed to risk factors have a pressing need to consult doctors. Due to hospital closure, a lot …

Text classification is a widely studied problem and has broad applications. In many real-
world problems, the number of texts for training classification models is limited, which …

Under the pandemic of COVID-19, people experiencing COVID19-related symptoms have a
pressing need to consult doctors. Because of the shortage of medical professionals, many …

Medical dialogue systems have the potential to assist doctors in expanding access to
medical care, improving the quality of patient experiences, and lowering medical expenses …

Online news platforms have become users' primary information sources. However, they
focus on attracting users to click on the news and ignore whether the news triggers a sense …