pytorch bart text2text-generation en dataset:cnn_dailymail arxiv:2110.07166 transformers summarization license:bsd-3-clause autotrain_compatible
---
language: en
tags:
- summarization
license: bsd-3-clause
datasets:
- cnn_dailymail
---

Citation
```
@misc{https://doi.org/10.48550/arxiv.2110.07166,
  doi = {10.48550/ARXIV.2110.07166},
  url = {https://arxiv.org/abs/2110.07166},
  author = {Choubey, Prafulla Kumar and Fabbri, Alexander R. and Vig, Jesse and Wu, Chien-Sheng and Liu, Wenhao and Rajani, Nazneen Fatema},
  keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
  title = {CaPE: Contrastive Parameter Ensembling for Reducing Hallucination in Abstractive Summarization},
  publisher = {arXiv},
  year = {2021},
  copyright = {Creative Commons Attribution 4.0 International}
}
```