Update README.md

README.md

@@ -43,21 +43,27 @@ size_categories:
 ---
 
 # SpokenSwag
-We present here SpokenSwag as described in the paper ["_Slamming_: Training a Speech Language Model on One GPU in a Day"](link).
+We present here SpokenSwag as described in the paper ["_Slamming_: Training a Speech Language Model on One GPU in a Day"](https://arxiv.org/abs/2502.15814).
 This dataset is based on [allenai/swag](https://huggingface.co/datasets/allenai/swag) and synthetised with 4 speakers from [hexgrad/Kokoro-82M](https://huggingface.co/hexgrad/Kokoro-82M).
 We show that perfoming DPO over the dataset can really improve performance of Speech Language Models.
 We encourage you to also see the following resources, for further information:
 
 **Project Page:** https://pages.cs.huji.ac.il/adiyoss-lab/slamming/ \
-**Paper:** Soon! \
+**Paper:** https://arxiv.org/abs/2502.15814 \
 **Code:** https://github.com/slp-rl/slamkit
 
 
 If you use our dataset, please cite the paper as follows:
 ```
-@article{maimon2024slamming,
-        soon!
-        }
+@misc{maimon2025slamming,
+      title={Slamming: Training a Speech Language Model on One GPU in a Day}, 
+      author={Gallil Maimon and Avishai Elmakies and Yossi Adi},
+      year={2025},
+      eprint={2502.15814},
+      archivePrefix={arXiv},
+      primaryClass={cs.LG},
+      url={https://arxiv.org/abs/2502.15814}, 
+}
   
 ```