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[ICLR 2021] "InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective" by Boxin Wang, Shuohang Wang, Yu Cheng, Zhe Gan, Ruoxi Jia, Bo Li, Jingjing Liu
Boxin Wang, Shuohang Wang, Yu Cheng, Zhe Gan, Ruoxi Jia, Bo Li, Jingjing Liu
Usage
Prepare your environment
Download required packages
pip install -r requirements.txt
ANLI and TextFooler
To run ANLI and TextFooler experiments, refer to README in the ANLI directory.
SQuAD
To run SQuAD experiments, refer to README in the SQuAD directory.
Citation
@inproceedings{
wang2021infobert,
title={InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective},
author={Wang, Boxin and Wang, Shuohang and Cheng, Yu and Gan, Zhe and Jia, Ruoxi and Li, Bo and Liu, Jingjing},
booktitle={International Conference on Learning Representations},
year={2021}}
About
[ICLR 2021] "InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective" by Boxin Wang, Shuohang Wang, Yu Cheng, Zhe Gan, Ruoxi Jia, Bo Li, Jingjing Liu