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license: apache-2.0 |
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--- |
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## Introduction |
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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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***[Multi-Granularity Tibetan Textual Adversarial Attack Method Based on Masked Language Model (Cao et al., WWW 2024 Workshop - SocialNLP)](https://dl.acm.org/doi/10.1145/3589335.3652503)*** |
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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{10.1145/3589335.3652503, |
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author = {Cao, Xi and Qun, Nuo and Gesang, Quzong and Zhu, Yulei and Nyima, Trashi}, |
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title = {Multi-Granularity Tibetan Textual Adversarial Attack Method Based on Masked Language Model}, |
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year = {2024}, |
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isbn = {9798400701726}, |
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publisher = {Association for Computing Machinery}, |
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address = {New York, NY, USA}, |
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url = {https://doi.org/10.1145/3589335.3652503}, |
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doi = {10.1145/3589335.3652503}, |
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booktitle = {Companion Proceedings of the ACM on Web Conference 2024}, |
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pages = {1672–1680}, |
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numpages = {9}, |
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keywords = {language model, robustness, textual adversarial attack, tibetan}, |
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location = {Singapore, Singapore}, |
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series = {WWW '24} |
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} |
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``` |
