Update README.md

README.md

@@ -91,3 +91,21 @@ The model was evaluated by our custom script on three types of data. The results
 | GaMS-9B-Instruct | 0.693659 | 0.685006 | 0.673394 | 0.723470 | 13.50% | 4.83% | 33.15% |
 | EuroLLM-9B-Instruct | 0.689321 | 0.668084 | 0.670723 | 0.729227 | 8.97% | 1.89% | 35.08% |
 | GaMS-9B-SFT-Translator | 0.682467 | 0.676580 | 0.673650 | 0.699602 | 5.14% | 1.48% | 30.53% |
+
+
+*Note* - the evaluation script and evaluation data can be found in this [github repo](https://github.com/DarioVajda/translation_dpo) under the data_pipeline folder. See the README for more detailed instructions.
+
+
+## Citation
+If you found this project useful in your work, please cite our paper with the following BibTeX citation:
+```txt
+@misc{vajda2025improvingllmsmachinetranslation,
+      title={Improving LLMs for Machine Translation Using Synthetic Preference Data}, 
+      author={Dario Vajda and Domen Vreš and Marko Robnik-Šikonja},
+      year={2025},
+      eprint={2508.14951},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2508.14951}, 
+}
+```