update bibtex and paper links

README.md

@@ -22,7 +22,7 @@
 
 **TextBrewer** is a PyTorch-based model distillation toolkit for natural language processing. It includes various distillation techniques from both NLP and CV field and provides an easy-to-use distillation framework, which allows users to quickly experiment with the state-of-the-art distillation methods to compress the model with a relatively small sacrifice in the performance, increasing the inference speed and reducing the memory usage.
 
-Paper: [https://arxiv.org/abs/2002.12620](https://arxiv.org/abs/2002.12620)
+Check our paper through [ACL Anthology](https://www.aclweb.org/anthology/2020.acl-demos.2/) or [arXiv pre-print](https://arxiv.org/abs/2002.12620).
 
 [Full Documentation](https://textbrewer.readthedocs.io/)
 
@@ -402,14 +402,16 @@ We recommend that users use pre-trained student models whenever possible to full
 
 ## Citation
 
-If you find TextBrewer is helpful, please cite [our paper](https://arxiv.org/abs/2002.12620):
-```
+If you find TextBrewer is helpful, please cite [our paper](https://www.aclweb.org/anthology/2020.acl-demos.2/):
+```bibtex
 @InProceedings{textbrewer-acl2020-demo,
-  author =  "Yang, Ziqing and Cui, Yiming and Chen, Zhipeng and Che, Wanxiang and Liu, Ting and Wang, Shijin and Hu, Guoping",
-  title =   "{T}ext{B}rewer: {A}n {O}pen-{S}ource {K}nowledge {D}istillation {T}oolkit for {N}atural {L}anguage {P}rocessing",
-  booktitle =   "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations",
-  year =  "2020",
-  publisher =   "Association for Computational Linguistics"
+    title = "{T}ext{B}rewer: {A}n {O}pen-{S}ource {K}nowledge {D}istillation {T}oolkit for {N}atural {L}anguage {P}rocessing",
+    author = "Yang, Ziqing and Cui, Yiming and Chen, Zhipeng and Che, Wanxiang and Liu, Ting and Wang, Shijin and Hu, Guoping",
+    booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations",
+    year = "2020",
+    publisher = "Association for Computational Linguistics",
+    url = "https://www.aclweb.org/anthology/2020.acl-demos.2",
+    pages = "9--16",
 }
 ```
 

README_ZH.md

@@ -21,7 +21,7 @@
 融合并改进了NLP和CV中的多种知识蒸馏技术，提供便捷快速的知识蒸馏框架，
 用于以较低的性能损失压缩神经网络模型的大小，提升模型的推理速度，减少内存占用。
 
-Paper: [https://arxiv.org/abs/2002.12620](https://arxiv.org/abs/2002.12620)
+可以通过[ACL Anthology](https://www.aclweb.org/anthology/2020.acl-demos.2/)或[arXiv pre-print](https://arxiv.org/abs/2002.12620)查看我们的论文。
 
 [完整文档](https://textbrewer.readthedocs.io/)
 
@@ -391,17 +391,19 @@ Distiller负责执行实际的蒸馏过程。目前实现了以下的distillers:
 
 ## 引用
 
-如果TextBrewer工具包对你的研究工作有所帮助，请在文献中引用下述[技术报告](https://arxiv.org/abs/2002.12620)：
+如果TextBrewer工具包对你的研究工作有所帮助，请在文献中引用我们的[论文](https://www.aclweb.org/anthology/2020.acl-demos.2/)：
 
-```
+```bibtex
 @InProceedings{textbrewer-acl2020-demo,
-  author =  "Yang, Ziqing and Cui, Yiming and Chen, Zhipeng and Che, Wanxiang and Liu, Ting and Wang, Shijin and Hu, Guoping",
-  title =   "{T}ext{B}rewer: {A}n {O}pen-{S}ource {K}nowledge {D}istillation {T}oolkit for {N}atural {L}anguage {P}rocessing",
-  booktitle =   "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations",
-  year =  "2020",
-  publisher =   "Association for Computational Linguistics"
+    title = "{T}ext{B}rewer: {A}n {O}pen-{S}ource {K}nowledge {D}istillation {T}oolkit for {N}atural {L}anguage {P}rocessing",
+    author = "Yang, Ziqing and Cui, Yiming and Chen, Zhipeng and Che, Wanxiang and Liu, Ting and Wang, Shijin and Hu, Guoping",
+    booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations",
+    year = "2020",
+    publisher = "Association for Computational Linguistics",
+    url = "https://www.aclweb.org/anthology/2020.acl-demos.2",
+    pages = "9--16",
 }
- ```
+```
 
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