Skip to content

Latest commit

 

History

History
71 lines (54 loc) · 2.62 KB

README.md

File metadata and controls

71 lines (54 loc) · 2.62 KB
Raw

UniLC - Unified Language Checking

This repo contains the code and access to data used in the paper Interpretable Unified Language Checking.

Code and data download

The code and data (UniLC benchmark) can be downloaded by

git clone https://https://github.com/luohongyin/UniLC.git
cd UniLC/
bash download.sh

The evaluation corpora will be saved at UniLC/ulsc_data/

OpenAI API key

Paste your OpenAI API key in the openai-key.txt file or replace the corresponding code in general_check.py (line 20).

Reproducing the experiments

The experiments can be reproduced on four tasks:

with three different prompting modes:

  • Fully zero-shot (zero-cls): zero
  • Few-shot fact generation + zero-shot ethical classification (few-fp + zero-cls): fp
  • Few-shot fact generation + few-shot ethical classification (few-fp + few-cls): cot

An experiment can be ran with

usage: python general_check.py [-h] [-t TASK] [-m MODE] [-s START_IDX] [-n EXP_NAME] [-v]

Unified language safety checking with LLMs.

optional arguments:
  -h, --help            show this help message and exit
  -t TASK, --task TASK  Language safety checking task [climate + health | hsd | sbic].
  -m MODE, --mode MODE  Prompting mode [zero | fp | cot].
  -s START_IDX, --start-idx START_IDX
                        Index of the first sample to process.
  -n EXP_NAME, --exp-name EXP_NAME
                        Name tag for the experiment log file.
  -v, --verbose

If a full evaluation is supposed to be conducted, set args.start_idx = 0, args.verbose = False. To look into the model behavior on the i-th test sample, set args.start_idx = i, args.verbose = True

Citation

Please cite our paper if our code and data are helpful!

@article{zhang2023interpretable,
  title={Interpretable Unified Language Safety Checking},
  author={Zhang, Tianhua and Luo, Hongyin and Chuang, Yung-Sung and Fang, Wei and Gaitskell, Luc and Hartvigsen, Thomas and Wu, Xixin and Fox, Danny and Meng, Helen and Glass, James},
  journal={arXiv preprint arXiv:2304.03728},
  year={2023}
}

Support and Contact

If there is any question, please submit an issue or contact:

  • Hongyin Luo: hyluo AT mit DOT edu
  • Tianhua Zhang: thzhang AT link DOT cuhk DOT edu DOT hk