Boosting classification reliability of NLP transformer models in the long run

Zoltán Kmetty, Bence Kollányi, Krisztián Boros

Transformer-based machine learning models have become an essential tool for many natural language processing (NLP) tasks since the introduction of the method. A common objective of…