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## Introduction
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This is a fine-tuned LM in our
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***[Pay Attention to the Robustness of Chinese Minority Language Models! Syllable-level Textual Adversarial Attack on Tibetan Script](https://aclanthology.org/2023.trustnlp-1.4) (Cao et al., ACL 2023 Workshop - TrustNLP)***
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## Citation
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If you think our work useful, please kindly cite our paper.
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## Introduction
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This is a fine-tuned LM in our papers below and the related GitHub repo is [here](https://github.com/metaphors/TibetanPLMsFineTuning).
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***[Pay Attention to the Robustness of Chinese Minority Language Models! Syllable-level Textual Adversarial Attack on Tibetan Script](https://aclanthology.org/2023.trustnlp-1.4) (Cao et al., ACL 2023 Workshop - TrustNLP)***
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***Multi-Granularity Tibetan Textual Adversarial Attack Method Based on Masked Language Model (Cao et al., WWW 2024 Workshop - SocialNLP)***
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## Citation
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If you think our work useful, please kindly cite our paper.
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