Update README.md

added link to technical report

README.md

@@ -20,7 +20,7 @@ Granite-Embedding-30m-Sparse is a 30M parameter sparse biencoder embedding model
 
 - **Developers:** Granite Embedding Team, IBM
 - **GitHub Repository:** [ibm-granite/granite-embedding-models](https://github.com/ibm-granite/granite-embedding-models)
-- **Paper:** Coming Soon
+- **Paper:** [Techincal Report](https://arxiv.org/abs/2502.20204)
 - **Release Date**: February 26th, 2025
 - **License:** [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0)
 
@@ -270,14 +270,15 @@ The data used to train the base language model was filtered to remove text conta
 - 📄 Get started with tutorials, best practices, and prompt engineering advice: https://www.ibm.com/granite/docs/
 - 💡 Learn about the latest Granite learning resources: https://ibm.biz/granite-learning-resources
 
-<!-- ## Citation
+## Citation
 ```
-@misc{granite-embedding-models,
-  author = {author 1, author2, ...},
-  title = {},
-  journal = {},
-  volume = {},
-  year = {2024},
-  url = {https://arxiv.org/abs/0000.00000},
+@misc{awasthy2025graniteembeddingmodels,
+      title={Granite Embedding Models}, 
+      author={Parul Awasthy and Aashka Trivedi and Yulong Li and Mihaela Bornea and David Cox and Abraham Daniels and Martin Franz and Gabe Goodhart and Bhavani Iyer and Vishwajeet Kumar and Luis Lastras and Scott McCarley and Rudra Murthy and Vignesh P and Sara Rosenthal and Salim Roukos and Jaydeep Sen and Sukriti Sharma and Avirup Sil and Kate Soule and Arafat Sultan and Radu Florian},
+      year={2025},
+      eprint={2502.20204},
+      archivePrefix={arXiv},
+      primaryClass={cs.IR},
+      url={https://arxiv.org/abs/2502.20204}, 
 }
-``` -->
+```