Natural Language Generation (NLG) has improved exponentially in recent years thanks to
the development of sequence-to-sequence deep learning technologies such as Transformer …

The human ability to learn, generalize, and control complex manipulation tasks through multi-
modality feedback suggests a unique capability, which we refer to as dexterity intelligence …

Large Language Models (LLMs) have drawn a lot of attention due to their strong
performance on a wide range of natural language tasks, since the release of ChatGPT in …

Collecting high quality conversational data can be very expensive for most applications and
infeasible for others due to privacy, ethical, or similar concerns. A promising direction to …

Despite the continuing efforts to improve the engagingness and consistency of chit-chat
dialogue systems, the majority of current work simply focus on mimicking human-like …

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 …

While large pre-trained language models are powerful, their predictions often lack logical
consistency across test inputs. For example, a state-of-the-art Macaw question-answering …

Existing persona-grounded dialog models often fail to capture simple implications of given
persona descriptions, something which humans are able to do seamlessly. For example …

Personalized chatbots focus on endowing chatbots with a consistent personality to behave
like real users, give more informative responses, and further act as personal assistants …

Maintaining a consistent personality in conversations is quite natural for human beings, but
is still a non-trivial task for machines. The persona-based dialogue generation task is thus …