Update README.md

README.md

@@ -15,7 +15,18 @@ The pre-trained CafeBERT model is the state-of-the-art language model for Vietna
 
 CafeBERT is a large-scale multilingual language model with strong support for Vietnamese. The model is based on XLM-Roberta (the state-of-the-art multilingual language model) and is enhanced with a large Vietnamese corpus with many domains: Wikipedia, newspapers... CafeBERT has outstanding performance on the VLUE benchmark and other tasks, such as machine reading comprehension, text classification, natural language inference, part-of-speech tagging...
 
-The general architecture and experimental results of PhoBERT can be found in our paper:
+The general architecture and experimental results of PhoBERT can be found in our [paper](https://arxiv.org/abs/2403.15882):
+
+```
+  @misc{do2024vlue,
+        title={VLUE: A New Benchmark and Multi-task Knowledge Transfer Learning for Vietnamese Natural Language Understanding}, 
+        author={Phong Nguyen-Thuan Do and Son Quoc Tran and Phu Gia Hoang and Kiet Van Nguyen and Ngan Luu-Thuy Nguyen},
+        year={2024},
+        eprint={2403.15882},
+        archivePrefix={arXiv},
+        primaryClass={cs.CL}
+  }
+```
 
 Please **CITE** our paper when CafeBERT is used to help produce published results or is incorporated into other software.