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@@ -56,7 +56,7 @@ thumbnail: https://gsarti.com/publication/it5/featured.png
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  ---
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  # IT5 Small for Question Generation 💭 🇮🇹
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- This repository contains the checkpoint for the [IT5 Small](https://huggingface.co/gsarti/it5-small) model fine-tuned on question generation on the [SQuAD-IT corpus](https://huggingface.co/datasets/squad_it) as part of the experiments of the paper [IT5: Large-scale Text-to-text Pretraining for Italian Language Understanding and Generation](https://arxiv.org) by [Gabriele Sarti](https://gsarti.com) and [Malvina Nissim](https://malvinanissim.github.io).
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  A comprehensive overview of other released materials is provided in the [gsarti/it5](https://github.com/gsarti/it5) repository. Refer to the paper for additional details concerning the reported scores and the evaluation approach.
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  ```bibtex
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  @article{sarti-nissim-2022-it5,
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- title={IT5: Large-scale Text-to-text Pretraining for Italian Language Understanding and Generation},
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  author={Sarti, Gabriele and Nissim, Malvina},
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- journal={ArXiv preprint TBD},
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- url={TBD},
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- year={2022}
 
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  }
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  ```
 
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  ---
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  # IT5 Small for Question Generation 💭 🇮🇹
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+ This repository contains the checkpoint for the [IT5 Small](https://huggingface.co/gsarti/it5-small) model fine-tuned on question generation on the [SQuAD-IT corpus](https://huggingface.co/datasets/squad_it) as part of the experiments of the paper [IT5: Large-scale Text-to-text Pretraining for Italian Language Understanding and Generation](https://arxiv.org/abs/2203.03759) by [Gabriele Sarti](https://gsarti.com) and [Malvina Nissim](https://malvinanissim.github.io).
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  A comprehensive overview of other released materials is provided in the [gsarti/it5](https://github.com/gsarti/it5) repository. Refer to the paper for additional details concerning the reported scores and the evaluation approach.
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  ```bibtex
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  @article{sarti-nissim-2022-it5,
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+ title={{IT5}: Large-scale Text-to-text Pretraining for Italian Language Understanding and Generation},
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  author={Sarti, Gabriele and Nissim, Malvina},
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+ journal={ArXiv preprint 2203.03759},
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+ url={https://arxiv.org/abs/2203.03759},
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+ year={2022},
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+ month={mar}
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  }
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  ```