Update README.md

README.md

@@ -38,7 +38,16 @@ A multilingual version of this model supporting major Indic languages and cross-
 
 A better sentence similarity model (fine-tuned version of this model) is shared here: https://huggingface.co/l3cube-pune/telugu-sentence-similarity-sbert <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{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}
+}
+```
 
 ```
 @article{joshi2022l3cubemahasbert,
@@ -49,6 +58,20 @@ More details on the dataset, models, and baseline results can be found in our [p
 }
 ```
 
+Other Monolingual Indic sentence BERT models are listed below: <br>
+<a href='https://huggingface.co/l3cube-pune/marathi-sentence-bert-nli'> Marathi </a> <br>
+<a href='https://huggingface.co/l3cube-pune/hindi-sentence-bert-nli'> Hindi </a> <br>
+<a href='https://huggingface.co/l3cube-pune/kannada-sentence-bert-nli'> Kannada </a> <br>
+<a href='https://huggingface.co/l3cube-pune/telugu-sentence-bert-nli'> Telugu </a> <br>
+<a href='https://huggingface.co/l3cube-pune/malayalam-sentence-bert-nli'> Malayalam </a> <br>
+<a href='https://huggingface.co/l3cube-pune/tamil-sentence-bert-nli'> Tamil </a> <br>
+<a href='https://huggingface.co/l3cube-pune/gujarati-sentence-bert-nli'> Gujarati </a> <br>
+<a href='https://huggingface.co/l3cube-pune/odia-sentence-bert-nli'> Oriya </a> <br>
+<a href='https://huggingface.co/l3cube-pune/bengali-sentence-bert-nli'> Bengali </a> <br>
+<a href='https://huggingface.co/l3cube-pune/punjabi-sentence-bert-nli'> Punjabi </a> <br>
+<a href='https://arxiv.org/abs/2211.11187'> monolingual paper </a> <br>
+<a href='https://arxiv.org/abs/2304.11434'> multilingual paper </a>
+
 ## Usage (Sentence-Transformers)
 
 Using this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) installed: