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JustinLin610 authored May 11, 2023
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# News
* 2023.5.11: Two papers ([OFA-OCR](https://arxiv.org/abs/2212.09297) and [OFA-prompt](https://arxiv.org/abs/2208.02532)) are accepted by ACL. The evaluation scripts and checkpoints of OFA-OCR are released.
* 2023.1.11: Released MuE (https://arxiv.org/abs/2211.11152), which significantly accelerates OFA with little performance degradation. Many thanks to the first author, Shengkun Tang (@Tangshengku). See the branch `feature/MuE` and [PR](https://github.com/OFA-Sys/OFA/pull/336) for more information.
* 2022.12.20: Released OFA-OCR, a model for Chinese text recognition based on OFA. Check our [paper](https://arxiv.org/abs/2212.09297) and [demo](https://modelscope.cn/studios/damo/ofa_ocr_pipeline/summary).
* 2022.12.7: Released the MMSpeech an ASR pre-training method based on OFA. Check our paper [here](https://arxiv.org/abs/2212.00500)! Please see the [README_mmspeech.md](README_mmspeech.md) for further details.
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# Citation
Please cite our paper if you find it helpful :)
Please cite our papers if you find them helpful :)

```
@article{wang2022ofa,
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}
```
<br></br>
```
@article{ofa_ocr,
author = {Junyang Lin and
Xuancheng Ren and
Yichang Zhang and
Gao Liu and
Peng Wang and
An Yang and
Chang Zhou},
title = {Transferring General Multimodal Pretrained Models to Text Recognition},
journal = {CoRR},
volume = {abs/2212.09297},
year = {2022}
}
```
<br><br>
```
@article{ofa_prompt,
author = {Hao Yang and
Junyang Lin and
An Yang and
Peng Wang and
Chang Zhou and
Hongxia Yang},
title = {Prompt Tuning for Generative Multimodal Pretrained Models},
journal = {CoRR},
volume = {abs/2208.02532},
year = {2022}
}
```

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