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Ai Text Detector V1.01

Developed by desklib
An AI-generated text detection model developed by Desklib, designed to distinguish between human-written and AI-generated English texts, achieving leading performance in the RAID benchmark.
Downloads 20.01k
Release Time : 2/16/2025

Model Overview

This model is based on a fine-tuned microsoft/deberta-v3-large architecture, focusing on detecting AI-generated text content, suitable for content moderation, academic integrity, and other fields.

Model Features

High-Precision Detection
Leading performance in the RAID AI detection benchmark, accurately distinguishing between human and AI-generated texts.
Strong Robustness
Effectively resists various adversarial attacks across different domains while maintaining stable detection performance.
Based on DeBERTa Architecture
Utilizes an improved BERT architecture with disentangled attention and enhanced masked decoder for superior performance.

Model Capabilities

AI-Generated Text Detection
Content Authenticity Verification
Text Classification

Use Cases

Education
Academic Integrity Check
Detects AI-generated content in student assignments or papers to uphold academic integrity.
Helps educational institutions identify potential academic misconduct
Content Moderation
AI-Generated Content Labeling
Labels AI-generated content on social media or news platforms to enhance content transparency.
Increases user trust in content authenticity
Journalism
News Authenticity Verification
Verifies whether news articles are human-written to prevent the spread of AI-generated misinformation.
Maintains the credibility and professionalism of the journalism industry
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