Awesome
DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature
Official implementation of the experiments in the DetectGPT paper.
An interactive demo of DetectGPT can be found here.
Instructions
First, install the Python dependencies:
python3 -m venv env
source env/bin/activate
pip install -r requirements.txt
Second, run any of the scripts (or just individual commands) in paper_scripts/
.
If you'd like to run the WritingPrompts experiments, you'll need to download the WritingPrompts data from here. Save the data into a directory data/writingPrompts
.
Note: Intermediate results are saved in tmp_results/
. If your experiment completes successfully, the results will be moved into the results/
directory.
Citing the paper
If our work is useful for your own, you can cite us with the following BibTex entry:
@misc{mitchell2023detectgpt,
url = {https://arxiv.org/abs/2301.11305},
author = {Mitchell, Eric and Lee, Yoonho and Khazatsky, Alexander and Manning, Christopher D. and Finn, Chelsea},
title = {DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature},
publisher = {arXiv},
year = {2023},
}