A complete overview and insights into AI-Text detection 🌱 using the powerful BERT(Bi-directional encoder representation transformer) to predict if a text is AI-generated 🌻 or Human-authored 🚀

Code for our NeurIPS2023 accepted paper: RADAR: Robust AI-Text Detection via Adversarial Learning. We tested RADAR on 8 LLMs including Vicuna and LLaMA. The results show that RADAR can attain good detection performance on LLM-generated AI-text while being robust against paraphrasing.

This repository contains a Python program that employs natural language processing (NLP) techniques to determine whether a given paragraph was generated by AI or written by a human. Leveraging the transformers library, the program utilizes a pre-trained sentiment analysis model to make an educated guess about the origin of the text.

a Chrome Extension that aims to provide an easy to use user interface for user to validate if a particular piece of text content is generated by AI