Update README.md

README.md

@@ -36,23 +36,24 @@ print('\n'.join(tokenizer.convert_ids_to_tokens(top_2))) # should print לימו
 
 ## Performance
 
-Please see our upcoming technical report for performance metrics. The model outperforms previous SOTA models on almost all benchmarks, with a noticeable jump in the QA scores which indicate a much deeper semantic understanding. 
+Please see our technical report [here](https://arxiv.org/abs/2510.20386) for performance metrics. The model outperforms previous SOTA models on almost all benchmarks, with a noticeable jump in the QA scores which indicate a much deeper semantic understanding. 
 
 
 ## Citation
 
-If you use NeoDictaBERT in your research, please cite ```NeoDictaBERT: Pushing the Frontier of BERT models in Hebrew```
+If you use NeoDictaBERT in your research, please cite ```NeoDictaBERT: Pushing the Frontier of BERT models for Hebrew```
 
 **BibTeX:**
 
 ```bibtex
-@misc{NeoDictaBERT,
-  title = {NeoDictaBERT: Pushing the Frontier of BERT models in Hebrew},
-  author = {Shaltiel Shmidman and Avi Shmidman and Moshe Koppel},
-  howpublished = {Hugging Face},
-  url = {https://huggingface.co/dicta-il/neodictabert},
-  license = {CC BY 4.0},
-  note = {Technical report coming soon}
+@misc{shmidman2025neodictabertpushingfrontierbert,
+      title={NeoDictaBERT: Pushing the Frontier of BERT models for Hebrew}, 
+      author={Shaltiel Shmidman and Avi Shmidman and Moshe Koppel},
+      year={2025},
+      eprint={2510.20386},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2510.20386}, 
 }
 ```