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LIFE-Corrector-RE
He-Xingwei/LIFE-Corrector-RE
LIFE-Corrector-RE is a machine learning model from He-Xingwei. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
This repository contains the checkpoint for the corrector of LIFE, which is trained on the systhetic data for factual error correction with retrieved evidence. Please refer to the code of LIFE at https://github.com/NL…
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At a glance
- License
- mit
- Model type
- t5
- Access
- Public
- Created
- Nov 28, 2024
- Updated
- Nov 29, 2024
- SHA
- a3e52655
Model card
From the Hugging Face model README
This repository contains the checkpoint for the corrector of LIFE, which is trained on the systhetic data for factual error correction with retrieved evidence. Please refer to the code of LIFE at https://github.com/NLPCode/LIFE for more details.
Usage
# Load the model
from transformers import AutoConfig, AutoModelForSeq2SeqLM, AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("He-Xingwei/LIFE-Corrector-RE")
model = AutoModelForSeq2SeqLM.from_pretrained("He-Xingwei/LIFE-Corrector-RE")
Citation
If you want to use this model in your research, please cite our paper:
@inproceedings{he2024improving,
title={Improving Factual Error Correction by Learning to Inject Factual Errors},
author={He, Xingwei and Zhang, Qianru and Jin, A-Long and Ma, Jun and Yuan, Yuan and Yiu, Siu Ming},
booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
volume={38},
number={16},
pages={18197--18205},
year={2024}
}
- Type
- t5
- License
- mit
- Created
- Nov 28, 2024
- Updated
- Nov 29, 2024