This comprehensive survey explored the evolving landscape of generative Artificial
Intelligence (AI), with a specific focus on the transformative impacts of Mixture of Experts …

Federated learning (FL) is a technique that allows multiple participants to collaboratively
train a Deep Neural Network (DNN) without the need to centralize their data. Among other …

Conversations have become a critical data format on social media platforms. Understanding
conversation from emotion, content and other aspects also attracts increasing attention from …

The field of cognitive computing, conversational AI has witnessed remarkable progress,
largely driven by the development of the Generative Pre-trained Transformer (GPT) series …

Emotion recognition in conversation (ERC) is important for enhancing user experience in
human–computer interaction. Unlike vanilla emotion recognition in individual utterances …

Spoken dialogue systems have rapidly developed but are often viewed as inhumane
because they lack empathetic communication skills. In this study, a transformer-based …

The construction of open-domain dialogue systems requires high-quality dialogue datasets.
The dialogue data admits a wide variety of responses for a given dialogue history, especially …

We survey SoTA open-domain conversational AI models with the objective of presenting the
prevailing challenges that still exist to spur future research. In addition, we provide statistics …

This review explores the transformative integration of artificial intelligence (AI) and
healthcare through conversational AI leveraging Natural Language Processing (NLP) …

Dialogue systems have received increasing attention while automatically evaluating their
performance remains challenging. User satisfaction estimation (USE) has been proposed as …