1 code implementation • 3 Apr 2024 • Jakub Hoscilowicz, Pawel Pawlowski, Marcin Skorupa, Marcin Sowański, Artur Janicki
In the on-device scenario (tiny and not pretrained SLU), our method improved the Overall Accuracy from 5. 31% to 22. 06% over the baseline Global-Local Contrastive Learning Framework (GL-CLeF) method.
1 code implementation • 27 Mar 2024 • Jakub Hoscilowicz, Adam Wiacek, Jan Chojnacki, Adam Cieslak, Leszek Michon, Vitalii Urbanevych, Artur Janicki
Large Language Models (LLM) are prone to returning false information.
no code implementations • 27 Jan 2023 • Jakub Hościłowicz, Marcin Sowański, Piotr Czubowski, Artur Janicki
In this article, we use probing to investigate phenomena that occur during fine-tuning and knowledge distillation of a BERT-based natural language understanding (NLU) model.