Knowledge Graphs (KGs) play a pivotal role in advancing various AI applications, with the
semantic web community's exploration into multi-modal dimensions unlocking new avenues …

Multimodal Vision Language Models (VLMs) have emerged as a transformative technology
at the intersection of computer vision and natural language processing, enabling machines …

Temporal commonsense reasoning refers to the ability to understand the typical temporal
context of phrases, actions, and events, and use it to reason over problems requiring such …

Visual Word Sense Disambiguation (VWSD) is a novel challenging task with the goal of
retrieving an image among a set of candidates, which better represents the meaning of an …

Amidst the evolving landscape of artificial intelligence, the convergence of visual and textual
information has surfaced as a crucial frontier, leading to the advent of image-text multimodal …

Metaphorical memes, where a source concept is projected into a target concept, are an
essential construct in figurative language. In this article, we present a novel approach for …

Toxicity identification in online multimodal environments remains a challenging task due to
the complexity of contextual connections across modalities (eg, textual and visual). In this …

Visual Question Answering (VQA) has been a popular task that combines vision and
language, with numerous relevant implementations in literature. Even though there are …

In the task of answering questions related to electricity knowledge, accurately understanding
user intentions is fundamental to building an effective reasoning process. Questions in this …

Περίληψη Στο σύγχρονο τοπίο της μόδας, η σύγκλιση τεχνολογίας και δημιουργικότητας έχει
δημιουργήσει νέες ευκαιρίες και αναδρομολογήσει τα πρότυπα της βιομηχανίας. Στο …