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 …

Transfer learning from large-scale pre-trained models has become essential for many
computer vision tasks. Recent studies have shown that datasets like ImageNet are weakly …

In the recent shift towards human-centric AI, the need for machines to accurately use natural
language has become increasingly important. While a common approach to achieve this is …

Pretraining on human corpus and then finetuning in a simulator has become a standard
pipeline for training a goal-oriented dialogue agent. Nevertheless, as soon as the agents are …

Children start to communicate and use language in social interactions from a very young
age. This allows them to experiment with their developing linguistic knowledge and receive …

Although neural module networks have an architectural bias towards compositionality, they
require gold standard layouts to generalize systematically in practice. When instead learning …

Deep generative models (DGM) are increasingly employed in emergent communication
systems. However, their application in multimodal data contexts is limited. This study …

This paper shows that emergent languages in signaling games lack meaningful word
boundaries in terms of Harris's Articulation Scheme (HAS), a universal property of natural …

By the age of two, children tend to assume that new word categories are based on objects'
shape, rather than their color or texture; this assumption is called the shape bias. They are …

The field of emergent language represents a novel area of research within the domain of
artificial intelligence, particularly within the context of multi-agent reinforcement learning …