4 citations · 12 across the 4 of their papers we have counts for
4 papers
GPT-SW3: An Autoregressive Language Model for the Nordic Languages
Ariel Ekgren, Amaru Cuba Gyllensten, Felix Stollenwerk +7
This paper details the process of developing the first native large generative language model for the Nordic languages, GPT-SW3. We cover all parts of the development process, from…
The Nordic Pile: A 1.2TB Nordic Dataset for Language Modeling
Joey Öhman, Severine Verlinden, Ariel Ekgren +5
Pre-training Large Language Models (LLMs) require massive amounts of text data, and the performance of the LLMs typically correlates with the scale and quality of the datasets. Thi…
Should we Stop Training More Monolingual Models, and Simply Use Machine Translation Instead?
Tim Isbister, Fredrik Carlsson, Magnus Sahlgren
Most work in NLP makes the assumption that it is desirable to develop solutions in the native language in question. There is consequently a strong trend towards building native lan…
The Singleton Fallacy: Why Current Critiques of Language Models Miss the Point
Magnus Sahlgren, Fredrik Carlsson
This paper discusses the current critique against neural network-based Natural Language Understanding (NLU) solutions known as language models. We argue that much of the current de…