| # InfoXLM |
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| **InfoXLM** (NAACL 2021, [paper](https://arxiv.org/pdf/2007.07834.pdf), [repo](https://github.com/microsoft/unilm/tree/master/infoxlm), [model](https://huggingface.co/microsoft/infoxlm-base)) InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training. |
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| **MD5** |
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| ``` |
| 05b95b7d977450b364f8ea3269391953 config.json |
| c19438359fed6d36b0c1bbb107929579 pytorch_model.bin |
| bf25eb5120ad92ef5c7d8596b5dc4046 sentencepiece.bpe.model |
| eedbd60a7268b9fc45981b849664f747 tokenizer.json |
| ``` |
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| **BibTeX** |
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| ``` |
| @inproceedings{chi-etal-2021-infoxlm, |
| title = "{I}nfo{XLM}: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training", |
| author={Chi, Zewen and Dong, Li and Wei, Furu and Yang, Nan and Singhal, Saksham and Wang, Wenhui and Song, Xia and Mao, Xian-Ling and Huang, Heyan and Zhou, Ming}, |
| booktitle = "Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies", |
| month = jun, |
| year = "2021", |
| address = "Online", |
| publisher = "Association for Computational Linguistics", |
| url = "https://aclanthology.org/2021.naacl-main.280", |
| doi = "10.18653/v1/2021.naacl-main.280", |
| pages = "3576--3588",} |
| ``` |
