Update README.md

README.md

@@ -13,6 +13,17 @@ is summarized by the following metrics: 'mean accuracy'= 0.91 and 'mean f1 score
 
 Upon inputting an essay, the model outputs six scores corresponding to cohesion, syntax, vocabulary, phraseology, grammar, and conventions. Each score ranges from 1 to 5, with higher scores indicating greater proficiency within the essay. These dimensions collectively assess the quality of the input essay from multiple perspectives. The model serves as a valuable tool for EFL teachers and researchers, and it is also beneficial for English L2 learners and parents for self-evaluating their composition skills.
 
+Please **cite** the following paper if you use this model:
+```
+@article{sun2024automatic,
+  title={Automatic Essay Multi-dimensional Scoring with Fine-tuning and Multiple Regression},
+  author={Kun Sun and Rong Wang},
+  year={2024},
+  journal={ArXiv},
+  url={https://arxiv.org/abs/2406.01198}
+}
+```
+
 To test the model, run the following code or paste your essay into the API interface:
 
 1) Please use the following Python code if you want to get the ouput values ranging from **1 to 5**.
@@ -130,13 +141,3 @@ conventions: 8.5
 
 ```
 
-Please **cite** the following paper if you use this model:
-```
-@article{sun2024automatic,
-  title={Automatic Essay Multi-dimensional Scoring with Fine-tuning and Multiple Regression},
-  author={Kun Sun and Rong Wang},
-  year={2024},
-  journal={ArXiv},
-  url={https://arxiv.org/abs/5634515}
-}
-```