| # InfoXLM | |
| **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. | |
| **MD5** | |
| ``` | |
| b9d214025837250ede2f69c9385f812c config.json | |
| bd6b1f392293f0cd9cd829c02971ecd9 pytorch_model.bin | |
| bf25eb5120ad92ef5c7d8596b5dc4046 sentencepiece.bpe.model | |
| eedbd60a7268b9fc45981b849664f747 tokenizer.json | |
| ``` | |
| **BibTeX** | |
| ``` | |
| @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",} | |
| ``` |