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AIGC Detector Zhv2
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AIGC Detector Zhv2

Developed by yuchuantian
Chinese AI-generated text detector trained using multi-scale Positive-Unlabeled method
Text Classification
Transformers
Open Source License:Apache-2.0#AI-generated text detection#Multi-scale Positive-Unlabeled learning#Chinese RoBERTa optimization
Downloads 24.63k
Release Time : 12/26/2023

Model Overview

This model is used to detect AI-generated text content, trained via the MPU method based on the Chinese RoBERTa-wwm-ext pre-trained model, suitable for text detection across various domains.

Model Features

Multi-scale Positive-Unlabeled detection
Trained using the MPU method to effectively identify AI-generated text
Chinese optimization
Optimized based on the Chinese RoBERTa-wwm-ext pre-trained model
Cross-domain performance
Performance comparable to closed-source Chinese detectors across multiple domains

Model Capabilities

AI-generated text detection
Chinese text analysis

Use Cases

Content moderation
AI-generated content identification
Identifying AI-generated content on platforms such as social media and forums
Effectively distinguishes between human-written and AI-generated text
Academic integrity
Thesis detection
Detecting potentially AI-generated content in academic papers
Helps maintain academic integrity
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