Update README.md

README.md

@@ -61,14 +61,14 @@ The model also has cross-lingual capabilities. <br>
 Released as a part of project MahaNLP: https://github.com/l3cube-pune/MarathiNLP <br>
 
 Generic Indic Sentence BERT model is shared here : <a href='https://huggingface.co/l3cube-pune/indic-sentence-bert-nli'>l3cube-pune/indic-sentence-bert-nli</a> <br>
-More details on the dataset, models, and baseline results can be found in our [paper] (https://arxiv.org/abs/2211.11187) 
+More details on the dataset, models, and baseline results can be found in our [paper] (https://arxiv.org/abs/2304.11434) 
 
 ```
-@article{joshi2022l3cubemahasbert,
-  title={L3Cube-MahaSBERT and HindSBERT: Sentence BERT Models and Benchmarking BERT Sentence Representations for Hindi and Marathi},
-  author={Joshi, Ananya and Kajale, Aditi and Gadre, Janhavi and Deode, Samruddhi and Joshi, Raviraj},
-  journal={arXiv preprint arXiv:2211.11187},
-  year={2022}
+@article{deode2023l3cube,
+  title={L3Cube-IndicSBERT: A simple approach for learning cross-lingual sentence representations using multilingual BERT},
+  author={Deode, Samruddhi and Gadre, Janhavi and Kajale, Aditi and Joshi, Ananya and Joshi, Raviraj},
+  journal={arXiv preprint arXiv:2304.11434},
+  year={2023}
 }
 ```