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 …

Text Generation aims to produce plausible and readable text in human language from input
data. The resurgence of deep learning has greatly advanced this field, in particular, with the …

Practitioners increasingly use machine learning (ML) models, yet models have become
more complex and harder to understand. To understand complex models, researchers have …

Recommender systems exploit interaction history to estimate user preference, having been
heavily used in a wide range of industry applications. However, static recommendation …

In recent years, conversational agents (CAs) have become ubiquitous and are a presence in
our daily routines. It seems that the technology has finally ripened to advance the use of CAs …

This paper presents our task-oriented dialog system UBAR which models task-oriented
dialogs on a dialog session level. Specifically, UBAR is acquired by fine-tuning the large pre …

We propose the problem of conversational web navigation, where a digital agent controls a
web browser and follows user instructions to solve real-world tasks in a multi-turn dialogue …

While intelligent virtual assistants like Siri, Alexa, and Google Assistant have become
ubiquitous in modern life, they still face limitations in their ability to follow multi-step …

Task-oriented dialogue systems are increasingly prevalent in healthcare settings, and have
been characterized by a diverse range of architectures and objectives. Although these …

Task-oriented dialogue (TOD) systems have been widely used by mobile phone intelligent
assistants to accomplish tasks such as calendar scheduling or hotel reservation. Current …