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 …

Generative dialogue systems tend to produce generic responses, which often leads to
boring conversations. For alleviating this issue, Recent studies proposed to retrieve and …

Adversarial attacks against machine learning models have threatened various real-world
applications such as spam filtering and sentiment analysis. In this paper, we propose a …

The neural-based interactive dialogue system focuses on engaging and retaining humans in
long-lasting conversations. This has been explored for a variety of goal-oriented dialogue …

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 …

As conversational AI-based dialogue management has increasingly become a trending
topic, the need for a standardized and reliable evaluation procedure grows even more …

Consistency is one of the major challenges faced by dialogue agents. A human-like
dialogue agent should not only respond naturally, but also maintain a consistent persona. In …

This is a report on the NSF Future Directions Workshop on Automatic Evaluation of Dialog.
The workshop explored the current state of the art along with its limitations and suggested …

In this article, we tackle the math word problem, namely, automatically answering a
mathematical problem according to its textual description. Although recent methods have …