Awesome

Glimpse

This code is for our paper "Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection", where we borrow some code from Fast-DetectGPT.

Paper | Demo

We are working on the demo and will update the link soon.

Brief Intro

Environment

• Python3.12
• PyTorch2.3.1
• Setup the environment: pip install -r requirements.txt

(Notes: the baseline methods are run on 1 GPU of Tesla A100 with 80G memory, while Glimpse is run on a CPU environment.)

Workspace

Following folders are created for our experiments:

• ./exp_main -> experiments with five latest LLMs as the source model (main.sh).
• ./exp_langs -> experiments on six languages (langs.sh).

(Notes: we share the data and results for convenient reproduction.)

Citation

If you find this work useful, you can cite it with the following BibTex entry:

@articles{bao2024glimpse,
  title={Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection},
  author={Bao, Guangsheng and Zhao, Yanbin and He, Juncai and Zhang, Yue},
  year={2024}
}