Readme Update (#132)

* Update README.md

Author: Dornavineeth

README.md

@@ -26,6 +26,10 @@ We invite the LLM unlearning community to collaborate by adding new benchmarks,
 
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+> 📝 If you've found this repository or the models we've provided in [HuggingFace](https://huggingface.co/open-unlearning) useful, please cite our [technical report](https://arxiv.org/abs/2506.12618) (bibtex at [*Citing this work*](#-citing-this-work)).
+
+---
+
 ### 📢 Updates
 
 ### [June 20, 2025]
@@ -68,7 +72,6 @@ Be sure to run `python setup_data.py` immediately after merging the latest versi
 
 </details>
 
-
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 ## 🗃️ Available Components
@@ -85,6 +88,7 @@ We provide several variants for each of the components in the unlearning pipelin
 
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+
 ## 📌 Table of Contents
 - 📖 [Overview](#-overview)
 - 📢 [Updates](#-updates)
@@ -216,7 +220,8 @@ If you use OpenUnlearning in your research, please make sure to cite our OpenUnl
   title={{OpenUnlearning}: Accelerating {LLM} Unlearning via Unified Benchmarking of Methods and Metrics},
   author={Dorna, Vineeth and Mekala, Anmol and Zhao, Wenlong and McCallum, Andrew and Lipton, Zachary C and Kolter, J Zico and Maini, Pratyush},
   journal={arXiv preprint arXiv:2506.12618},
-  year={2025},,
+  year={2025},
+  url={https://arxiv.org/abs/2506.12618}
 }
 @inproceedings{maini2024tofu,
   title={{TOFU}: A Task of Fictitious Unlearning for {LLMs}},
@@ -231,7 +236,7 @@ If you use OpenUnlearning in your research, please make sure to cite our OpenUnl
   eprint={2407.06460},
   archivePrefix={arXiv},
   primaryClass={cs.CL},
-  url={https://arxiv.org/abs/2407.06460},
+  url={https://arxiv.org/abs/2407.06460}
 }
 ```
 </details>