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 …

Earthquake signal detection and seismic phase picking are challenging tasks in the
processing of noisy data and the monitoring of microearthquakes. Here we present a global …

First derived from human intuition, later adapted to machine translation for automatic token
alignment, attention mechanism, a simple method that can be used for encoding sequence …

In our digital age, data are generated constantly from public and private sources, social
media platforms, and the Internet of Things. A significant portion of this information comes in …

Abstract Interest in Artificial Intelligence (AI) and its applications has seen unprecedented
growth in the last few years. This success can be partly attributed to the advancements made …

Though impressive results have been achieved in visual captioning, the task of generating
abstract stories from photo streams is still a little-tapped problem. Different from captions …

In this paper, we collect an anthology of 100 visual stories from authors who participated in
our systematic creative process of improvised story-building based on image sequences …

We propose a hierarchically structured reinforcement learning approach to address the
challenges of planning for generating coherent multi-sentence stories for the visual …

Previous storytelling approaches mostly focused on optimizing traditional metrics such as
BLEU, ROUGE and CIDEr. In this paper, we re-examine this problem from a different angle …

The visual storytelling (VST) task aims at generating a reasonable and coherent paragraph-
level story with the image stream as input. Different from caption that is a direct and literal …