As ChatGPT goes viral, generative AI (AIGC, aka AI-generated content) has made headlines
everywhere because of its ability to analyze and create text, images, and beyond. With such …

Dialogue systems are a popular natural language processing (NLP) task as it is promising in
real-life applications. It is also a complicated task since many NLP tasks deserving study are …

We present SODA: the first publicly available, million-scale high-quality social dialogue
dataset. Using SODA, we train COSMO: a generalizable conversation agent outperforming …

We present QuAC, a dataset for Question Answering in Context that contains 14K
information-seeking QA dialogs (100K questions in total). The dialogs involve two crowd …

This tutorial surveys neural approaches to conversational AI that were developed in the last
few years. We group conversational systems into three categories:(1) question answering …

We develop a high-quality multi-turn dialog dataset, DailyDialog, which is intriguing in
several aspects. The language is human-written and less noisy. The dialogues in the …

Deep learning methods employ multiple processing layers to learn hierarchical
representations of data, and have produced state-of-the-art results in many domains …

We study knowledge-grounded dialogue generation with pre-trained language models. To
leverage the redundant external knowledge under capacity constraint, we propose …

Natural Language Processing (NLP) helps empower intelligent machines by enhancing a
better understanding of the human language for linguistic-based human-computer …

Dialogue systems have attracted more and more attention. Recent advances on dialogue
systems are overwhelmingly contributed by deep learning techniques, which have been …