| # AI2 SciTLDR | |
| Fairseq checkpoints from CATTS XSUM to Transformers BART (Abtract Only) | |
| Original repository: [https://github.com/allenai/scitldr](https://github.com/allenai/scitldr) | |
| ## Demo | |
| A running demo of our model can be found [here](https://scitldr.apps.allenai.org). | |
| ### Citing | |
| If you use our code, dataset, or model weights in your research, please cite "TLDR: Extreme Summarization of Scientific Documents." | |
| ``` | |
| @article{cachola2020tldr, | |
| title={{TLDR}: Extreme Summarization of Scientific Documents}, | |
| author={Isabel Cachola and Kyle Lo and Arman Cohan and Daniel S. Weld}, | |
| journal={arXiv:2004.15011}, | |
| year={2020}, | |
| } | |
| ``` | |
| 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. |