In the world of text classification, being able to generalize across various domains and aspects without additional training is a game-changer. This is exactly what the Label Agnostic Pre-training for Zero-shot Text Classification approach aims to achieve. Developed by Christopher Clarke, Yuzhao Heng, Yiping Kang, Krisztian Flautner, Lingjia Tang, and Jason Mars, this novel approach …