Update README.md

README.md

@@ -1,13 +1,13 @@
 # XLM-Align
 
-**Improving Pretrained Cross-Lingual Language Models via Self-Labeled Word Alignment** (ACL-2021, [paper](https://arxiv.org/pdf/2106.06381.pdf), [github](https://github.com/CZWin32768/XLM-Align))
+**XLM-Align** (ACL 2021, [paper](https://aclanthology.org/2021.acl-long.265/), [repo](https://github.com/CZWin32768/XLM-Align), [model](https://huggingface.co/microsoft/xlm-align-base)) Improving Pretrained Cross-Lingual Language Models via Self-Labeled Word Alignment
 
-XLM-Align is a pretrained cross-lingual language model that supports 94 languages. See details in our [paper](https://arxiv.org/pdf/2106.06381.pdf).
+XLM-Align is a pretrained cross-lingual language model that supports 94 languages. See details in our [paper](https://aclanthology.org/2021.acl-long.265/).
 
 ## Example
 
 ```
-model = = AutoModel.from_pretrained("CZWin32768/xlm-align")
+model = AutoModel.from_pretrained("microsoft/xlm-align-base")
 ```
 
 ## Evaluation Results
@@ -35,10 +35,15 @@ Contact: chizewen\@outlook.com
 BibTeX:
 
 ```
-@article{xlmalign,
-  title={Improving Pretrained Cross-Lingual Language Models via Self-Labeled Word Alignment},
+@inproceedings{xlmalign,
+  title = "Improving Pretrained Cross-Lingual Language Models via Self-Labeled Word Alignment",
   author={Zewen Chi and Li Dong and Bo Zheng and Shaohan Huang and Xian-Ling Mao and Heyan Huang and Furu Wei},
-  journal={arXiv preprint arXiv:2106.06381},
-  year={2021}
-}
+  booktitle = "Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)",
+  month = aug,
+  year = "2021",
+  address = "Online",
+  publisher = "Association for Computational Linguistics",
+  url = "https://aclanthology.org/2021.acl-long.265",
+  doi = "10.18653/v1/2021.acl-long.265",
+  pages = "3418--3430",}
 ```