Update README.md

README.md

@@ -1,4 +1,25 @@
 ---
 license: afl-3.0
 ---
-Please use the tokenizer of "hfl/chinese-bert-wwm-ext" for this model.
+# MWP-BERT
+NAACL 2022 Findings Paper: MWP-BERT: Numeracy-Augmented Pre-training for Math Word Problem Solving
+
+[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/mwp-bert-a-strong-baseline-for-math-word/math-word-problem-solving-on-mathqa)](https://paperswithcode.com/sota/math-word-problem-solving-on-mathqa?p=mwp-bert-a-strong-baseline-for-math-word)
+[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/mwp-bert-a-strong-baseline-for-math-word/math-word-problem-solving-on-math23k)](https://paperswithcode.com/sota/math-word-problem-solving-on-math23k?p=mwp-bert-a-strong-baseline-for-math-word)
+
+Github link: https://github.com/LZhenwen/MWP-BERT/
+
+
+Please use the tokenizer of "hfl/chinese-bert-wwm-ext" for this model.
+
+## Citation
+
+```
+@inproceedings{liang2022mwp,
+  title={MWP-BERT: Numeracy-Augmented Pre-training for Math Word Problem Solving},
+  author={Liang, Zhenwen and Zhang, Jipeng and Wang, Lei and Qin, Wei and Lan, Yunshi and Shao, Jie and Zhang, Xiangliang},
+  booktitle={Findings of NAACL 2022},
+  pages={997--1009},
+  year={2022}
+}
+```