https://github.com/adrianbzg/sfavel

Code for "Unsupervised Pretraining for Fact Verification by Language Model Distillation" (ICLR 2024)
https://github.com/adrianbzg/sfavel

deep-learning knowledge-distillation knowledge-graphs language-model multimodal-deep-learning natural-language-processing self-supervised-learning

Last synced: 8 days ago
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Code for "Unsupervised Pretraining for Fact Verification by Language Model Distillation" (ICLR 2024)

• Host: GitHub
• URL: https://github.com/adrianbzg/sfavel
• Owner: AdrianBZG
• License: mit
• Created: 2023-11-12T23:41:02.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-03-03T15:18:01.000Z (8 months ago)
• Last Synced: 2024-05-21T02:14:11.656Z (6 months ago)
• Topics: deep-learning, knowledge-distillation, knowledge-graphs, language-model, multimodal-deep-learning, natural-language-processing, self-supervised-learning
• Language: Python
• Homepage: https://arxiv.org/abs/2309.16540
• Size: 14.6 KB
• Stars: 4
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# SFAVEL: Unsupervised Pretraining for Fact Verification by Language Model Distillation

### [Paper](https://arxiv.org/abs/2309.16540) | [ICLR 2024](https://openreview.net/forum?id=1mjsP8RYAw)

This is the official implementation of the paper "Unsupervised Pretraining for Fact Verification by Language Model Distillation".

Code coming up soon, stay tuned!

## Citation

```

@inproceedings{

bazaga2024unsupervised,

title={Unsupervised Pretraining for Fact Verification by Language Model Distillation},

author={Adrián Bazaga and Pietro Liò and Gos Micklem},

booktitle={The Twelfth International Conference on Learning Representations},

year={2024},

url={https://openreview.net/forum?id=1mjsP8RYAw}

}

```

## Contact

For feedback, questions, or press inquiries please contact [Adrián Bazaga](mailto:[email protected])