Awesome

Prompt Consistency for Zero-Shot Task Generalization

This is the official implementation of the paper:

Prompt Consistency for Zero-Shot Task Generalization
Chunting Zhou*, Junxian He*, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig
Preprint 2022

Dependencies

This repo is a fork of the huggingface transformers repo (forked on Oct 29, 2021), and the code is tested on PyTorch 1.9.0. Please follow the instructions below to install dependencies after you set up PyTorch:

git clone git@github.com:violet-zct/swarm-distillation-zero-shot.git
cd swarm-distillation-zero-shot

# install transformers from this repo
pip install -e .

# install other requirements
pip install datasets

Usage

We are still working on cleaning the code, for early usage please refer to exps/ttt/final_3B.sh for an example training script that we used to tune the T0-3B model.

Citation

@article{zhou2022prompt,
  title={Prompt Consistency for Zero-Shot Task Generalization},
  author={Chunting Zhou and Junxian He and Xuezhe Ma and Taylor Berg-Kirkpatrick and Graham Neubig},
  journal={ArXiv},
  year={2022},
  volume={abs/2205.00049}
}