PICT at StanceEval2024: Stance Detection in Arabic using Ensemble of Large Language Models
Ishaan Shukla, Ankit Vaidya, Geetanjali Kale · 2024
This paper outlines our approach to the StanceEval 2024 -Arabic Stance Evaluation shared task.The goal of the task was to identify the stance, one out of three (Favor, Against or None) towards tweets based on three topics, namely -COVID-19 Vaccine, Digital Transformation and Women Empowerment.Our approach consists of fine-tuning BERT-based models efficiently for both, Single-Task Learning as well as Multi-Task Learning, the details of which are discussed.Finally, an ensemble was implemented on the best-performing models to maximize overall performance.We achieved a macro F1 score of 78.02% in this shared task.Our codebase is available publicly 1 .