The rapid advancement of Large Language Models (LLMs) has opened up new
opportunities for leveraging artificial intelligence in various domains, including cybersecurity …

Stance detection, the task of predicting an author's viewpoint towards a subject of interest,
has long been a focal point of research. Current stance detection methods predominantly …

In an era inundated with vast amounts of information, the imperative for efficient news
classification is paramount. This research explores the sophisticated integration of neural …

Despite recent advancements in speech emotion recognition (SER) models, state-of-the-art
deep learning (DL) approaches face the challenge of the limited availability of annotated …

In the past months, researchers have enthusiastically discussed the relevance of zero-or few-
shot classifiers like ChatGPT for text annotation. Should these models prove to be …

Abstract The 2022 Russian invasion of Ukraine is a war being fought both on the physical
battlefield and online. This paper studies Telegram activity in the first weeks of the invasion …

Large Language Models (LLMs) have demonstrated remarkable capabilities in executing
tasks based on natural language queries. However, these models, trained on curated …

Public opinion of military organizations plays a crucial role in their ability to recruit talented
individuals. As recruitment increasingly extends into digital spaces like social media …

Despite recent advancements in speech emotion recognition (SER) models, state-of-the-art
deep learning (DL) approaches face the challenge of the limited availability of annotated …

CASE in EACL 2024 proposes the shared task on Hate Speech and Stance Detection
during Climate Activism. In our participation in the stance detection task, we have tested …