197 citations · 409 across the 21 of their papers we have counts for
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cs.CL2021★ 5 cited
Legal Transformer Models May Not Always Help
Saibo Geng, Rémi Lebret, Karl Aberer
Deep learning-based Natural Language Processing methods, especially transformers, have achieved impressive performance in the last few years. Applying those state-of-the-art NLP me…
cs.CL2021★ 5 cited
Direction is what you need: Improving Word Embedding Compression in Large Language Models
Klaudia Bałazy, Mohammadreza Banaei, Rémi Lebret +2
The adoption of Transformer-based models in natural language processing (NLP) has led to great success using a massive number of parameters. However, due to deployment constraints…