Update README.md

README.md

@@ -15,7 +15,7 @@ datasets:
 
 # LightHuBERT
 
-[**LightHuBERT**](?): **Lightweight and Configurable Speech Representation Learning with Once-for-All Hidden-Unit BERT**
+[**LightHuBERT**](https://arxiv.org/abs/2203.15610): **Lightweight and Configurable Speech Representation Learning with Once-for-All Hidden-Unit BERT**
 
 Authors:	Rui Wang, Qibing Bai, Junyi Ao, Long Zhou, Zhixiang Xiong, Zhihua Wei, Yu Zhang, Tom Ko and Haizhou Li
 
@@ -23,7 +23,7 @@ Authors:	Rui Wang, Qibing Bai, Junyi Ao, Long Zhou, Zhixiang Xiong, Zhihua Wei,
 
 The authors' PyTorch implementation and pre-trained models of LightHuBERT.
 
-- March 2022: release preprint in [arXiv](?) and checkpoints in [huggingface](https://huggingface.co/mechanicalsea/lighthubert).
+- March 2022: release preprint in [arXiv](https://arxiv.org/abs/2203.15610) and checkpoints in [huggingface](https://huggingface.co/mechanicalsea/lighthubert).
 
 ## Pre-Trained Models
 
@@ -70,11 +70,10 @@ print(f"Representation at bottom hidden states: {torch.allclose(rep, hs[-1])}")
 If you find our work is useful in your research, please cite the following paper:
 
 ```bibtex
-@article{rwang-lighthubert-2022,
+@article{wang2022lighthubert,
   title={{LightHuBERT}: Lightweight and Configurable Speech Representation Learning with Once-for-All Hidden-Unit {BERT}},
   author={Rui Wang and Qibing Bai and Junyi Ao and Long Zhou and Zhixiang Xiong and Zhihua Wei and Yu Zhang and Tom Ko and Haizhou Li},
-  year={2022},
-  journal={arXiv preprint arXiv:?.?},
+  journal={arXiv preprint arXiv:2203.15610},
   year={2022}
 }
 ```