Experimenting with Different Machine Translation Models in Medium-Resource Settings. - Haukur Páll Jónsson; Haukur Barri Símonarson; Vésteinn Snæbjarnarson; Steinþór Steingrímsson; Hrafn Loftsson (TDS, 2020)

Help Yourself from the Buffet: National Language Technology Infrastructure Initiative on CLARIN-IS. - Anna Björk Nikulásdóttir; Þórunn Arnardóttir; Starkaður Barkarson; Jón Guðnason; Þorsteinn Daði Gunnarsson; Anton Karl Ingason; Haukur Páll Jónsson; Hrafn Loftsson; Hulda Óladóttir; Eiríkur Rögnvaldsson; Einar Freyr Sigurðsson; Atli Þór Sigurgeirsson; et al. (CLARIN Annual Conference, 2021)

Mi dheind's WMT 2021 Submission. - Haukur Páll Barri Símonarson; Vésteinn Snæbjarnarson; Pétur Orri Ragnarson; Haukur Páll Jónsson; Vilhjalmur Thorsteinsson (WMT@EMNLP, 2021)

Icelandic Parallel Abstracts Corpus. - Haukur Barri Símonarson; Vésteinn Snæbjarnarson (CoRR, 2021)

Miðeind's WMT 2021 submission. - Haukur Barri Símonarson; Vésteinn Snæbjarnarson; Petur Orri Ragnarsson; Haukur Páll Jónsson; Vilhjálmur Þorsteinsson (CoRR, 2021)

Natural Questions in Icelandic. - Vésteinn Snæbjarnarson; Hafsteinn Einarsson (LREC, 2022)

A Warm Start and a Clean Crawled Corpus - A Recipe for Good Language Models. - Vésteinn Snæbjarnarson; Haukur Barri Símonarson; Pétur Orri Ragnarsson; Svanhvít Lilja Ingólfsdóttir; Haukur Páll Jónsson; Vilhjalmur Thorsteinsson; Hafsteinn Einarsson (LREC, 2022)

Cross-Lingual QA as a Stepping Stone for Monolingual Open QA in Icelandic. - Vésteinn Snæbjarnarson; Hafsteinn Einarsson (CoRR, 2022)

Byte-Level Grammatical Error Correction Using Synthetic and Curated Corpora. - Svanhvít Lilja Ingólfsdóttir; Petur Orri Ragnarsson; Haukur Páll Jónsson; Haukur Barri Símonarson; Vilhjalmur Thorsteinsson; Vésteinn Snæbjarnarson (ACL (1), 2023)

Discriminative Class Tokens for Text-to-Image Diffusion Models. - Idan Schwartz; Vésteinn Snæbjarnarson; Hila Chefer; Serge J. Belongie; Lior Wolf; Sagie Benaim (ICCV, 2023)

Transfer to a Low-Resource Language via Close Relatives: The Case Study on Faroese. - Vésteinn Snæbjarnarson; Annika Simonsen; Goran Glavas; Ivan Vulic (NoDaLiDa, 2023)

Discriminative Class Tokens for Text-to-Image Diffusion Models. - Idan Schwartz; Vésteinn Snæbjarnarson; Sagie Benaim; Hila Chefer; Ryan Cotterell; Lior Wolf; Serge J. Belongie (CoRR, 2023)

Context versus Prior Knowledge in Language Models. - Kevin Du; Vésteinn Snæbjarnarson; Niklas Stoehr; Jennifer C. White; Aaron Schein; Ryan Cotterell (ACL (1), 2024)

From Coarse to Fine-Grained Open-Set Recognition. - Nico Lang; Vésteinn Snæbjarnarson; Elijah Cole; Oisin Mac Aodha; Christian Igel; Serge J. Belongie (CVPR, 2024)

Activation Scaling for Steering and Interpreting Language Models. - Niklas Stoehr; Kevin Du; Vésteinn Snæbjarnarson; Robert West 001; Ryan Cotterell; Aaron Schein (EMNLP (Findings), 2024)

LoQT: Low-Rank Adapters for Quantized Pretraining. - Sebastian Loeschcke; Mads Toftrup; Michael J. Kastoryano; Serge J. Belongie; Vésteinn Snæbjarnarson (NeurIPS, 2024)

Assessing Neural Network Robustness via Adversarial Pivotal Tuning. - Peter Ebert Christensen; Vésteinn Snæbjarnarson; Andrea Dittadi; Serge J. Belongie; Sagie Benaim (WACV, 2024)

LoQT: Low Rank Adapters for Quantized Training. - Sebastian Loeschcke; Mads Toftrup; Michael J. Kastoryano; Serge J. Belongie; Vésteinn Snæbjarnarson (CoRR, 2024)

Counterfactual Generation from Language Models. - Shauli Ravfogel; Anej Svete; Vésteinn Snæbjarnarson; Ryan Cotterell (CoRR, 2024)

Taxonomy-Aware Evaluation of Vision-Language Models. - Vésteinn Snæbjarnarson; Kevin Du; Niklas Stoehr; Serge J. Belongie; Ryan Cotterell; Nico Lang; Stella Frank (CVPR, 2025)

Gumbel Counterfactual Generation From Language Models. - Shauli Ravfogel; Anej Svete; Vésteinn Snæbjarnarson; Ryan Cotterell (ICLR, 2025)