Papers
arxiv:2305.03880
NorBench -- A Benchmark for Norwegian Language Models
Published on May 6, 2023
Abstract
NorBench evaluates Norwegian language models using standardized tasks and metrics, introduces new encoder and encoder-decoder models, and compares their performance against existing models.
AI-generated summary
We present NorBench: a streamlined suite of NLP tasks and probes for evaluating Norwegian language models (LMs) on standardized data splits and evaluation metrics. We also introduce a range of new Norwegian language models (both encoder and encoder-decoder based). Finally, we compare and analyze their performance, along with other existing LMs, across the different benchmark tests of NorBench.
Models citing this paper 6
Browse 6 models citing this paperDatasets citing this paper 0
No dataset linking this paper
Cite arxiv.org/abs/2305.03880 in a dataset README.md to link it from this page.
Spaces citing this paper 0
No Space linking this paper
Cite arxiv.org/abs/2305.03880 in a Space README.md to link it from this page.
Collections including this paper 0
No Collection including this paper
Add this paper to a
collection
to link it from this page.