All datasets / xzx34
xzx34/cross-lingual-pitfalls
The declared licence (mit) is classified as permissive.
- Declared licence
- mit, from the tagEvidence: README.md at 4877b9a
- Licence files
- No licence file at the top level of the repositoryEvidence: file list at 4877b9a
- Declared sources
- None listed in the card metadata
- Access gated on Hugging Face
- No
Tasks
Citation text from the card
@inproceedings{xu-etal-2025-cross,
title = "Cross-Lingual Pitfalls: Automatic Probing Cross-Lingual Weakness of Multilingual Large Language Models",
author = "Xu, Zixiang and Wang, Yanbo and Huang, Yue and Chen, Xiuying and Zhao, Jieyu and Jiang, Meng and Zhang, Xiangliang",
editor = "Che, Wanxiang and Nabende, Joyce and Shutova, Ekaterina and Pilehvar, Mohammad Taher",
booktitle = "Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
month = jul,
year = "2025",
address = "Vienna, Austria",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.acl-long.404/",
doi = "10.18653/v1/2025.acl-long.404",
pages = "8254--8284",
ISBN = "979-8-89176-251-0"
}
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dataset_licence({ "id": "xzx34/cross-lingual-pitfalls" })
signal: "permissive"
stated_licence: "mit"
sources: 0