Semantic Topology. - Jussi Karlgren; Martin Bohman; Ariel Ekgren; Gabriel Isheden; Emelie Kullmann; David Nilsson (CIKM, 2014)

Evaluating Learning Language Representations. - Jussi Karlgren; Jimmy Callin; Kevyn Collins-Thompson; Amaru Cuba Gyllensten; Ariel Ekgren; David Jurgens; Anna Korhonen; Fredrik Olsson; Magnus Sahlgren; Hinrich Schütze (CLEF, 2015)

R-grams: Unsupervised Learning of Semantic Units in Natural Language. - Ariel Ekgren; Amaru Cuba Gyllensten; Magnus Sahlgren (CoRR, 2018)

SenseCluster at SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection. - Amaru Cuba Gyllensten; Evangelia Gogoulou; Ariel Ekgren; Magnus Sahlgren (SemEval@COLING, 2020)

Lessons Learned from GPT-SW3: Building the First Large-Scale Generative Language Model for Swedish. - Ariel Ekgren; Amaru Cuba Gyllensten; Evangelia Gogoulou; Alice Heiman; Severine Verlinden; Joey Öhman; Fredrik Carlsson; Magnus Sahlgren (LREC, 2022)

Cross-lingual Transfer of Monolingual Models. - Evangelia Gogoulou; Ariel Ekgren; Tim Isbister; Magnus Sahlgren (LREC, 2022)

The Nordic Pile: A 1.2TB Nordic Dataset for Language Modeling. - Joey Öhman; Severine Verlinden; Ariel Ekgren; Amaru Cuba Gyllensten; Tim Isbister; Evangelia Gogoulou; Fredrik Carlsson; Magnus Sahlgren (CoRR, 2023)

GPT-SW3: An Autoregressive Language Model for the Nordic Languages. - Ariel Ekgren; Amaru Cuba Gyllensten; Felix Stollenwerk; Joey Öhman; Tim Isbister; Evangelia Gogoulou; Fredrik Carlsson; Alice Heiman; Judit Casademont; Magnus Sahlgren (CoRR, 2023)

GPT-SW3: An Autoregressive Language Model for the Scandinavian Languages. - Ariel Ekgren; Amaru Cuba Gyllensten; Felix Stollenwerk; Joey Öhman; Tim Isbister; Evangelia Gogoulou; Fredrik Carlsson; Judit Casademont; Magnus Sahlgren (LREC/COLING, 2024)

SWEb: A Large Web Dataset for the Scandinavian Languages. - Tobias Norlund; Tim Isbister; Amaru Cuba Gyllensten; Paul Gabriel dos Santos; Danila Petrelli; Ariel Ekgren; Magnus Sahlgren (ICLR, 2025)