https://github.com/alixunxing/detect-gpt
DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature
Science Score: 10.0%
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DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature
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- Host: GitHub
- Owner: alixunxing
- License: mit
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Fork of eric-mitchell/detect-gpt
Created about 3 years ago
· Last pushed over 3 years ago
https://github.com/alixunxing/detect-gpt/blob/main/
# DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature
## Official implementation of the experiments in the [DetectGPT paper](https://arxiv.org/abs/2301.11305v1).
An interactive demo of DetectGPT can be found [here](https://detectgpt.ericmitchell.ai).
## 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](https://www.kaggle.com/datasets/ratthachat/writing-prompts). 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},
}
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- Repositories: 18
- Profile: https://github.com/alixunxing