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Modernbert Ai Detection

Developed by GeorgeDrayson
A machine-generated text detection model based on the ModernBERT-base architecture, designed to prevent language model collapse
Downloads 16
Release Time : 4/14/2025

Model Overview

This model is part of the research findings from the paper 'Machine-Generated Text Detection to Prevent Language Model Collapse'. It prevents model collapse issues by detecting machine-generated text.

Model Features

Preventing model collapse
Prevents language model collapse during training by detecting machine-generated text
Based on ModernBERT architecture
Uses ModernBERT-base as the base model, providing strong text understanding capabilities
Importance sampling method
Employs the detector-based importance sampling method proposed in the paper to optimize model training

Model Capabilities

Machine-generated text detection
Text classification
Preventing language model collapse

Use Cases

Language model training
Preventing model collapse
Using this detector to filter training data during language model training
Reduces the risk of model collapse
Content moderation
Detecting AI-generated content
Identifying whether text is machine-generated
Can be used for content moderation and quality control
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