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update readme #181

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Mar 31, 2022
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update readme #181

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Create README.md
jingmu123 Mar 31, 2022
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Update README.md
jingmu123 Mar 31, 2022
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Update README.md
jingmu123 Mar 31, 2022
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Merge branch 'master' into patch-1
jxfeb Mar 31, 2022
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16 changes: 15 additions & 1 deletion CeMAT/README.md
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coming soon.
The code and models will be released soon.

## Citation

If you find this repo helpful for your research, please cite:

```
@inproceedings{CeMAT,
author = {Li, Pengfei and Li, Liangyou and Zhang, Meng and Wu, Minghao and Liu, Qun},
title = {Universal Conditional Masked Language Pre-training for Neural Machine Translation},
booktitle = {Annual Meeting of the Association for Computational Linguistics},
year = {2022}
}
```

1 change: 1 addition & 0 deletions README.md
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Expand Up @@ -18,3 +18,4 @@ This repository provides the latest pretrained language models and its related o
* [BinaryBERT](https://github.com/huawei-noah/Pretrained-Language-Model/tree/master/BinaryBERT) is a weights binarization method using ternary weight splitting for BERT model, developed under PyTorch.
* [AutoTinyBERT](https://github.com/huawei-noah/Pretrained-Language-Model/tree/master/AutoTinyBERT) provides a model zoo that can meet different latency requirements.
* [PanGu-Bot](https://github.com/huawei-noah/Pretrained-Language-Model/tree/master/PanGu-Bot) is a Chinese pre-trained open-domain dialog model build based on the GPU implementation of [PanGu-α](https://github.com/huawei-noah/Pretrained-Language-Model/tree/master/PanGu-α).
* [CeMAT](https://github.com/huawei-noah/Pretrained-Language-Model/tree/master/CeMAT) is a universal sequence-to-sequence multi-lingual pre-training language model for both autoregressive and non-autoregressive neural machine translation tasks.