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AIGC Detector Env2
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AIGC Detector Env2

Developed by yuchuantian
An AI-generated text detector based on multi-scale positive unlabeled detection method, used to identify AI-generated text content.
Text Classification
Transformers
Open Source License:Apache-2.0#AI Text Detection#Multi-scale Analysis#Positive Unlabeled Learning
Downloads 94
Release Time : 12/27/2023

Model Overview

This model is trained using the MPU (Multi-scale Positive Unlabeled) method, based on the RoBERTa-Base architecture, specifically designed for detecting AI-generated text content.

Model Features

Multi-scale Positive Unlabeled Detection
Employs the innovative MPU method to effectively detect AI-generated text content.
Based on RoBERTa Architecture
Utilizes the pre-trained RoBERTa-Base model as the foundational architecture, offering strong text comprehension capabilities.
Efficient Detection
Specifically optimized for identifying AI-generated text, achieving high detection accuracy.

Model Capabilities

AI-generated Text Detection
Text Content Analysis

Use Cases

Content Moderation
Detecting AI-generated Content
Used to identify AI-generated text content on platforms such as social media and forums.
Effectively distinguishes between human-written and AI-generated text
Academic Integrity
Paper Originality Detection
Detects potential AI-generated sections in academic papers.
Helps uphold academic integrity
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