Abstractive dialogue summarization has long been viewed as an important
...
Factual inconsistencies in generated summaries severely limit the practi...
The primary focus of recent work with largescale transformers has been o...
Current pre-trained models applied to summarization are prone to factual...
While online conversations can cover a vast amount of information in man...
Modeling and prediction of human motion dynamics has long been a challen...
Predicting and forecasting human dynamics is a very interesting but
chal...
In this paper, we propose a new algorithm for learning general
latent-va...