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+ # AI2 SciTLDR
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+ Fairseq checkpoints from CATTS XSUM to Transformers BART (Abtract Only)
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+ Original repository: [https://github.com/allenai/scitldr](https://github.com/allenai/scitldr)
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+ ## Demo
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+ A running demo of our model can be found [here](https://scitldr.apps.allenai.org).
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+ ### Citing
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+ If you use our code, dataset, or model weights in your research, please cite "TLDR: Extreme Summarization of Scientific Documents."
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+ ```
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+ @article{cachola2020tldr,
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+ title={{TLDR}: Extreme Summarization of Scientific Documents},
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+ author={Isabel Cachola and Kyle Lo and Arman Cohan and Daniel S. Weld},
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+ journal={arXiv:2004.15011},
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+ year={2020},
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+ }
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+ ```
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+
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+ SciTLDR is an open-source project developed by the Allen Institute for Artificial Intelligence (AI2). AI2 is a non-profit institute with the mission to contribute to humanity through high-impact AI research and engineering.