7 citations · 12 across the 5 of their papers we have counts for
5 papers
Contrastive Decoding for Synthetic Data Generation in Low-Resource Language Modeling
Jannek Ulm, Kevin Du, Vésteinn Snæbjarnarson
Large language models (LLMs) are trained on huge amounts of textual data, and concerns have been raised that the limits of such data may soon be reached. A potential solution is to…
Taxonomy-Aware Evaluation of Vision-Language Models
Vésteinn Snæbjarnarson, Kevin Du, Niklas Stoehr +4
When a vision-language model (VLM) is prompted to identify an entity depicted in an image, it may answer 'I see a conifer,' rather than the specific label 'norway spruce'. This rai…
Byte-Level Grammatical Error Correction Using Synthetic and Curated Corpora
Svanhvít Lilja Ingólfsdóttir, Pétur Orri Ragnarsson, Haukur Páll Jónsson +3
Grammatical error correction (GEC) is the task of correcting typos, spelling, punctuation and grammatical issues in text. Approaching the problem as a sequence-to-sequence task, we…
Transfer to a Low-Resource Language via Close Relatives: The Case Study on Faroese
Vésteinn Snæbjarnarson, Annika Simonsen, Goran Glavaš +1
Multilingual language models have pushed state-of-the-art in cross-lingual NLP transfer. The majority of zero-shot cross-lingual transfer, however, use one and the same massively m…
Cross-Lingual QA as a Stepping Stone for Monolingual Open QA in Icelandic
Vésteinn Snæbjarnarson, Hafsteinn Einarsson
It can be challenging to build effective open question answering (open QA) systems for languages other than English, mainly due to a lack of labeled data for training. We present a…