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This is a fine-tuned LM in our paper 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 (Cao et al., ACL 2023 Workshop - TrustNLP)](https://aclanthology.org/2023.trustnlp-1.4)***
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## Citation
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If you think our work useful, please kindly cite our paper.
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```
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@inproceedings{cao-etal-2023-pay-attention,
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title = "Pay Attention to the Robustness of {C}hinese Minority Language Models! Syllable-level Textual Adversarial Attack on {T}ibetan Script",
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This is a fine-tuned LM in our paper below and the related GitHub repo is [here](https://github.com/metaphors/TibetanPLMsFineTuning).
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***[Human-in-the-Loop Generation of Adversarial Texts: A Case Study on Tibetan Script (Cao et al., IJCNLP-AACL 2025 Demo)](https://aclanthology.org/2025.ijcnlp-demo.2/)***
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***[Pay Attention to the Robustness of Chinese Minority Language Models! Syllable-level Textual Adversarial Attack on Tibetan Script (Cao et al., ACL 2023 Workshop - TrustNLP)](https://aclanthology.org/2023.trustnlp-1.4)***
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## Citation
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If you think our work useful, please kindly cite our paper.
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```
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@inproceedings{cao-etal-2025-human,
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title = "Human-in-the-Loop Generation of Adversarial Texts: A Case Study on {T}ibetan Script",
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author = "Cao, Xi and
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Sun, Yuan and
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Li, Jiajun and
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Gesang, Quzong and
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Qun, Nuo and
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Tashi, Nyima",
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editor = "Liu, Xuebo and
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Purwarianti, Ayu",
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booktitle = "Proceedings of The 14th International Joint Conference on Natural Language Processing and The 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics: System Demonstrations",
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month = dec,
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year = "2025",
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address = "Mumbai, India",
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publisher = "Association for Computational Linguistics",
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url = "https://aclanthology.org/2025.ijcnlp-demo.2/",
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pages = "9--16",
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ISBN = "979-8-89176-301-2"
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}
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```
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```
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@inproceedings{cao-etal-2023-pay-attention,
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title = "Pay Attention to the Robustness of {C}hinese Minority Language Models! Syllable-level Textual Adversarial Attack on {T}ibetan Script",
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