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@@ -38,7 +38,16 @@ A multilingual version of this model supporting major Indic languages and cross-
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  A better sentence similarity model (fine-tuned version of this model) is shared here: https://huggingface.co/l3cube-pune/gujarati-sentence-similarity-sbert <br>
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- More details on the dataset, models, and baseline results can be found in our [paper] (https://arxiv.org/abs/2211.11187)
 
 
 
 
 
 
 
 
 
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  ```
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  @article{joshi2022l3cubemahasbert,
@@ -49,6 +58,21 @@ More details on the dataset, models, and baseline results can be found in our [p
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  }
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  ```
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  ## Usage (Sentence-Transformers)
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  Using this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) installed:
 
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  A better sentence similarity model (fine-tuned version of this model) is shared here: https://huggingface.co/l3cube-pune/gujarati-sentence-similarity-sbert <br>
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+ More details on the dataset, models, and baseline results can be found in our [paper] (https://arxiv.org/abs/2304.11434)
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+
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+ ```
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+ @article{deode2023l3cube,
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+ title={L3Cube-IndicSBERT: A simple approach for learning cross-lingual sentence representations using multilingual BERT},
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+ author={Deode, Samruddhi and Gadre, Janhavi and Kajale, Aditi and Joshi, Ananya and Joshi, Raviraj},
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+ journal={arXiv preprint arXiv:2304.11434},
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+ year={2023}
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+ }
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+ ```
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  ```
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  @article{joshi2022l3cubemahasbert,
 
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  }
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  ```
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+ Other Monolingual Indic sentence BERT models are listed below: <br>
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+ <a href='https://huggingface.co/l3cube-pune/marathi-sentence-bert-nli'> Marathi </a> <br>
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+ <a href='https://huggingface.co/l3cube-pune/hindi-sentence-bert-nli'> Hindi </a> <br>
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+ <a href='https://huggingface.co/l3cube-pune/kannada-sentence-bert-nli'> Kannada </a> <br>
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+ <a href='https://huggingface.co/l3cube-pune/telugu-sentence-bert-nli'> Telugu </a> <br>
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+ <a href='https://huggingface.co/l3cube-pune/malayalam-sentence-bert-nli'> Malayalam </a> <br>
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+ <a href='https://huggingface.co/l3cube-pune/tamil-sentence-bert-nli'> Tamil </a> <br>
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+ <a href='https://huggingface.co/l3cube-pune/gujarati-sentence-bert-nli'> Gujarati </a> <br>
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+ <a href='https://huggingface.co/l3cube-pune/odia-sentence-bert-nli'> Oriya </a> <br>
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+ <a href='https://huggingface.co/l3cube-pune/bengali-sentence-bert-nli'> Bengali </a> <br>
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+ <a href='https://huggingface.co/l3cube-pune/punjabi-sentence-bert-nli'> Punjabi </a> <br>
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+ <a href='https://arxiv.org/abs/2211.11187'> monolingual paper </a> <br>
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+ <a href='https://arxiv.org/abs/2304.11434'> multilingual paper </a>
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+ ```
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+
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  ## Usage (Sentence-Transformers)
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  Using this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) installed: