Update README.md

README.md

@@ -21,14 +21,14 @@ MobileBERT uses a 128-dimensional embedding layer followed by 1D convolutions to
 If you use this model, please consider citing the following paper:
 
 ```bibtex
-@misc{https://doi.org/10.48550/arxiv.2209.03182,
-  doi = {10.48550/ARXIV.2209.03182},
-  url = {https://arxiv.org/abs/2209.03182},
-  author = {Rohanian, Omid and Nouriborji, Mohammadmahdi and Kouchaki, Samaneh and Clifton, David A.},
-  keywords = {Computation and Language (cs.CL), Machine Learning (cs.LG), FOS: Computer and information sciences, FOS: Computer and information sciences, 68T50},
-  title = {On the Effectiveness of Compact Biomedical Transformers},
-  publisher = {arXiv},
-  year = {2022}, 
-  copyright = {arXiv.org perpetual, non-exclusive license}
+@article{rohanian2023effectiveness,
+  title={On the effectiveness of compact biomedical transformers},
+  author={Rohanian, Omid and Nouriborji, Mohammadmahdi and Kouchaki, Samaneh and Clifton, David A},
+  journal={Bioinformatics},
+  volume={39},
+  number={3},
+  pages={btad103},
+  year={2023},
+  publisher={Oxford University Press}
 }
 ```