Update README.md

README.md

@@ -17,7 +17,7 @@ tags:
 
 ## Model Details
 
-- **Unlearn**:
+- **Unlearning**:
   - **Task**: [TOFU - Forget05](https://arxiv.org/abs/2401.06121)
   - **Method**: [SimNPO](https://arxiv.org/abs/2410.07163)
 - **Base Model**: [🤗meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf)
@@ -45,7 +45,7 @@ model = AutoModelForCausalLM.from_pretrained("OPTML-Group/SimNPO-TOFU-forget05-L
 ```
 
 ## Evaluation Results
-|Metrics|Forgeting Quality (FQ)|Model Utility (MU)|
+||Forgeting Quality (FQ)|Model Utility (MU)|
 |---|---|---|
 |Origin|0.00|0.62|
 |Retrain|1.00|0.62|
@@ -56,14 +56,11 @@ model = AutoModelForCausalLM.from_pretrained("OPTML-Group/SimNPO-TOFU-forget05-L
 
 If you use this model in your research, please cite: 
 ```
-@misc{fan2024simplicityprevailsrethinkingnegative,
-      title={Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning}, 
-      author={Chongyu Fan and Jiancheng Liu and Licong Lin and Jinghan Jia and Ruiqi Zhang and Song Mei and Sijia Liu},
-      year={2024},
-      eprint={2410.07163},
-      archivePrefix={arXiv},
-      primaryClass={cs.CL},
-      url={https://arxiv.org/abs/2410.07163}, 
+@article{fan2024simplicity,
+  title={Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning},
+  author={Fan, Chongyu and Liu, Jiancheng and Lin, Licong and Jia, Jinghan and Zhang, Ruiqi and Mei, Song and Liu, Sijia},
+  journal={arXiv preprint arXiv:2410.07163},
+  year={2024}
 }
 ```