Non-task oriented dialogue systems have achieved great success in recent years due to
largely accessible conversation data and the development of deep learning techniques …

Recent years the task of incomplete utterance rewriting has raised a large attention.
Previous works usually shape it as a machine translation task and employ sequence to …

Task-oriented dialogue systems have made unprecedented progress with multiple state-of-
the-art (SOTA) models underpinned by a number of publicly available MultiWOZ datasets …

Due to the dialogue characteristics of unstructured contexts and multi-parties with first-
person perspective, many successful text summarization works have failed when dealing …

Mastering commonsense understanding and reasoning is a pivotal skill essential for
conducting engaging conversations. While there have been several attempts to create …

Open-domain multi-turn dialogue generation encounters the significant challenge of lacking
various types of knowledge from diverse sources. Existing models typically focus on …

Dialogue state tracking (DST) is to identify user goals from dialogue context and it is an
essential component in task-oriented dialogue systems. In multi-domain task-oriented …

The task of dialogue rewriting aims to reconstruct the latest dialogue utterance by copying
the missing content from the dialogue context. Until now, the existing models for this task …

Utterance rewriting aims to recover coreferences and omitted information from the latest turn
of a multi-turn dialogue. Recently, methods that tag rather than linearly generate sequences …

In this paper, we present ChatPLUG, a Chinese open-domain dialogue system for digital
human applications that instruction finetunes on a wide range of dialogue tasks in a unified …