Add link to model's arXiv paper. (#1)

- Add link to model's arXiv paper. (6c0cfc717f91df5739c23e399457e10f843e8dd4)
- Replace arXiv link to conference paper link. (b4cb1ffe016ab7596bf87b57f8228f175fb293c4)


Co-authored-by: Hai Duong Tran <tranhd95@users.noreply.huggingface.co>

README.md

@@ -7,9 +7,9 @@ pipeline_tag: sentence-similarity
 
 ## RetroMAE
 
-RetroMAE-Small is a BERT-small model pre-trained with the [RetroMAE](https://arxiv.org/abs/2205.12035) objective on a Czech web corpus.
+RetroMAE-Small is a BERT-small model pre-trained with the [RetroMAE](https://ojs.aaai.org/index.php/AAAI/article/download/30307/32315) objective on a Czech web corpus.
 
-This model was created at Seznam.cz as part of a project to create high-quality small Czech semantic embedding models. These models perform well across various natural language processing tasks, including similarity search, retrieval, clustering, and classification. For further details or evaluation results, please visit the associated [paper]() or [GitHub repository](https://github.com/seznam/czech-semantic-embedding-models).
+This model was created at Seznam.cz as part of a project to create high-quality small Czech semantic embedding models. These models perform well across various natural language processing tasks, including similarity search, retrieval, clustering, and classification. For further details or evaluation results, please visit the associated [paper](https://arxiv.org/abs/2311.13921) or [GitHub repository](https://github.com/seznam/czech-semantic-embedding-models).
 
 ## How to Use