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xzx34/cross-lingual-pitfalls

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The declared licence (mit) is classified as permissive.

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mit, from the tagEvidence: README.md at 4877b9a
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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