Unlike previous studies on the Metaverse based on Second Life, the current Metaverse is
based on the social value of Generation Z that online and offline selves are not different …

This work proposes a new challenge set for multimodal classification, focusing on detecting
hate speech in multimodal memes. It is constructed such that unimodal models struggle and …

With the recent development of deep learning technology comes the wide use of artificial
intelligence (AI) models in various domains. AI shows good performance for definite …

Understanding spatial patterns of visitation and benefits accrued to different types of natural
and cultural heritage tourists may have important implications for the sustainable …

Abstract Machine learning and artificial intelligence play an ever more crucial role in
mitigating important societal problems, such as the prevalence of hate speech. We describe …

Abstract Language models are capable of commonsense reasoning: while domain-specific
models can learn from explicit knowledge (eg commonsense graphs [6], ethical norms [25]) …

Memes have become the popular means of communication for Internet users worldwide.
Understanding the Internet meme is one of the most tricky challenges in natural language …

Large language models readily adapt to novel settings, even without task-specific training
data. Can their zero-shot capacity be extended to multimodal inputs? In this work, we …

Metaphor involves not only a linguistic phenomenon, but also a cognitive phenomenon
structuring human thought, which makes understanding it challenging. As a means of …

We use coherence relations inspired by computational models of discourse to study the
information needs and goals of image captioning. Using an annotation protocol specifically …