Recent years have witnessed a surge of interest in the field of open-domain dialogue.
Thanks to the rapid development of social media, large dialogue corpus from the Internet …

Instruction tuning is an emergent paradigm in NLP wherein natural language instructions
are leveraged with language models to induce zero-shot performance on unseen tasks …

Abstractive dialogue summarization generates a concise and fluent summary covering the
salient information in a dialogue among two or more interlocutors. It has attracted significant …

Retrieval-based dialogue systems display an outstanding performance when pre-trained
language models are used, which includes bidirectional encoder representations from …

With the rapid progress of deep neural models and the explosion of available data
resources, dialogue systems that supports extensive topics and chit-chat conversations are …

In the knowledge-grounded conversation (KGC) task systems aim to produce more
informative responses by leveraging external knowledge. KGC includes a vital part …

A human-like user simulator that anticipates users' satisfaction scores, actions, and
utterances can help goal-oriented dialogue systems in evaluating the conversation and …

Building an intelligent dialogue system capable of naturally and coherently conversing with
humans has been a long-standing goal of artificial intelligence. In the past decade, with the …

Pre-trained language models (PrLMs) have demonstrated superior performance due to their
strong ability to learn universal language representations from self-supervised pre-training …

Developing high-performing dialogue systems benefits from the automatic identification of
undesirable behaviors in system responses. However, detecting such behaviors remains …