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)

Navigating the Semantic Horizon using Relative Neighborhood Graphs. - Amaru Cuba Gyllensten; Magnus Sahlgren (EMNLP, 2015)

The Gavagai Living Lexicon. - Magnus Sahlgren; Amaru Cuba Gyllensten; Fredrik Espinoza; Ola Hamfors; Jussi Karlgren; Fredrik Olsson; Per Persson; Akshay Viswanathan; Anders Holst (LREC, 2016)

Distributional Term Set Expansion. - Amaru Cuba Gyllensten; Magnus Sahlgren (LREC, 2018)

Measuring Issue Ownership using Word Embeddings. - Amaru Cuba Gyllensten; Magnus Sahlgren (WASSA@EMNLP, 2018)

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)

Semantic Re-tuning with Contrastive Tension. - Fredrik Carlsson; Amaru Cuba Gyllensten; Evangelia Gogoulou; Erik Ylipää Hellqvist; Magnus Sahlgren (ICLR, 2021)

A comprehensive comparative evaluation and analysis of Distributional Semantic Models. - Alessandro Lenci; Magnus Sahlgren; Patrick Jeuniaux; Amaru Cuba Gyllensten; Martina Miliani (CoRR, 2021)

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)

A comparative evaluation and analysis of three generations of Distributional Semantic Models. - Alessandro Lenci; Magnus Sahlgren; Patrick Jeuniaux; Amaru Cuba Gyllensten; Martina Miliani (Lang. Resour. Evaluation, 2022)

Effect of self-managed lifestyle treatment on glycemic control in patients with type 2 diabetes. - Chinmay Kumar Dwibedi; Emelia Mellergård; Amaru Cuba Gyllensten; Kristoffer Nilsson; Annika S. Axelsson; Malin Bäckman; Magnus Sahlgren; Stephen H. Friend; Sofie Persson; Stefan Franzén; Birgitta Abrahamsson; Katarina Steen Carlsson; et al. (npj Digit. Medicine, 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)

Quantifying Meaning. - Amaru Cuba Gyllensten (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)