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.
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 🚀
Desklib's AI Text Detector
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
Awesome list of best AI Humanizers
ML Model to detect AI Generated Text
All-in-one AI text detector: scan documents or web pages to spot AI-generated content via API, web UI, dashboard & Chrome extension.
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