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Teacher Forcing Recovers Reward Functions for Text Generation

This is the official code repo for the paper Teacher Forcing Recovers Reward Functions for Text Generation.

Setup

Downlaod the code

# ensure virtual environment
git clone https://github.com/MANGA-UOFA/LMReward
cd LMReward
pip install -r requirements.txt

Prepare dataset

You can download the deduplicated dialogue datasets here.

For the Quora dataset, you can download it here.

Run

Train a reward model

You should first fill all the variables in scripts/teacher.sh. Then executing it will learn a reward model using teacher forcing. In the same time, the reward model is also an initialization point for the next step.

REINFORCE with the reward

Fill all variables in scripts/reinforce.sh. Please use the non-parallel data and the trained reward model in this step.

Validation and test

You can run scripts/evaluate.sh to decode all checkpoints.

Cite our work

If you find this repo helpful, please consider cite our work:

@inproceedings{
    hao2022teacher,
    title={Teacher Forcing Recovers Reward Functions for Text Generation},
    author={Yongchang Hao and Yuxin Liu and Lili Mou},
    booktitle={Thirty-Sixth Conference on Neural Information Processing Systems},
    year={2022},
    url={https://openreview.net/forum?id=1_gypPuWUC3}
}

Disclaimer

The code is refactored for public. It has not been tested extensively. If you have any concerns or troubles, please open an issue.