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GPT-Sentinel: Distinguishing Human and ChatGPT Generated Content

This repository is no longer actively maintained. Please refer to our latest followup work:

• Paper: Token Prediction as Implicit Classification to Identify LLM-Generated Text
• Codebase: T5-Sentinel-public

Overview

:page_facing_up: Link to Paper (arXiv) | :floppy_disk: Link to Dataset | :package: Link to Checkpoint

This repository is the codebase for paper GPT-Sentinel: Distinguishing Human and ChatGPT Generating Content.

1. We collect and publish OpenGPTText - a high quality dataset with approximately 30,000 text sample rephrased by gpt-3.5-turbo (ChatGPT).
2. We construct two detectors with different architectures - the RoBERTa-Sentinel and T5-Sentinel.
3. T5-Sentinel shows SOTA performance (98% accuracy) on OpenGPTText dataset