Toktam Khatibi

Stacking Approaches for Multi-Label Emotion Recognition in Persian Using Large and Small Transformer Models

A hybrid model, termed SE_LLM_ST, is introduced, which leverages recent advancements in large language models (LLMs) and transformer-based architectures to effectively capture both contextual and sequential information vital for Persian emotion recognition.