Within the evolving landscape of deep learning, the dilemma of data quantity and quality has
been a long-standing problem. The recent advent of Large Language Models (LLMs) offers …

This paper presents an overview of the Arabic Natural Language Understanding
(ArabicNLU 2024) shared task, focusing on two subtasks: Word Sense Disambiguation …

Multimodal learning has been a field of increasing interest, aiming to combine various
modalities in a single joint representation. Especially in the area of visiolinguistic (VL) …

According to natural language processing experts, there are numerous ambiguous words in
languages. Without automated word meaning disambiguation for any language, the …

In the rapidly evolving fields of natural language processing and computer vision, Visual
Word Sense Disambiguation (VWSD) stands as a critical, yet challenging task. The quest for …

This paper explores techniques that focus on understanding and resolving ambiguity in
language within the field of natural language processing (NLP), highlighting the complexity …

Heart sound auscultation holds significant importance in the diagnosis of congenital heart
disease. However, existing methods for Heart Sound Diagnosis (HSD) tasks are …

Interpretability in recent deep learning models has become an epicenter of research
particularly in sensitive domains such as healthcare, and finance. Concept bottleneck …

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