UTibetNLP/cino-small-v2_tncc-title_tsheg

Introduction

This is a fine-tuned LM in our paper below and the related GitHub repo is here.

Multi-Granularity Tibetan Textual Adversarial Attack Method Based on Masked Language Model (Cao et al., WWW 2024 Workshop - SocialNLP)

Citation

If you think our work useful, please kindly cite our paper.

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