Update README.md

README.md

@@ -16,7 +16,7 @@ license: cc-by-4.0
 
 <img src="https://huggingface.co/ltg/norbert3-base/resolve/main/norbert.png" width=12.5%>
 
-The official release of a new generation of NorBERT language models described in paper [**NorBench — A Benchmark for Norwegian Language Models**](https://openreview.net/forum?id=WgxNONkAbz). Plese read the paper to learn more details about the model.
+The official release of a new generation of NorBERT language models described in paper [**NorBench — A Benchmark for Norwegian Language Models**](https://arxiv.org/abs/2305.03880). Plese read the paper to learn more details about the model.
 
 
 ## Other sizes:
@@ -57,12 +57,24 @@ The following classes are currently implemented: `AutoModel`, `AutoModelMaskedLM
 ## Cite us
 
 ```bibtex
-@inproceedings{
-samuel2023norbench,
-title={NorBench -- A Benchmark for Norwegian Language Models},
-author={David Samuel and Andrey Kutuzov and Samia Touileb and Erik Velldal and Lilja {\O}vrelid and Egil R{\o}nningstad and Elina Sigdel and Anna Sergeevna Palatkina},
-booktitle={The 24rd Nordic Conference on Computational Linguistics},
-year={2023},
-url={https://openreview.net/forum?id=WgxNONkAbz}
+@inproceedings{samuel-etal-2023-norbench,
+    title = "{N}or{B}ench {--} A Benchmark for {N}orwegian Language Models",
+    author = "Samuel, David  and
+      Kutuzov, Andrey  and
+      Touileb, Samia  and
+      Velldal, Erik  and
+      {\O}vrelid, Lilja  and
+      R{\o}nningstad, Egil  and
+      Sigdel, Elina  and
+      Palatkina, Anna",
+    booktitle = "Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)",
+    month = may,
+    year = "2023",
+    address = "T{\'o}rshavn, Faroe Islands",
+    publisher = "University of Tartu Library",
+    url = "https://aclanthology.org/2023.nodalida-1.61",
+    pages = "618--633",
+    abstract = "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.",
 }
+
 ```