AIGC_detector_env1 Open-source Detector - Free Deployment for Precision Identification of AI-generated Text

AIGC Detector Env1

Developed by yuchuantian

A multi-scale positive-unlabeled detector based on RoBERTa-Base pre-trained model for identifying AI-generated text

Open Source License:Apache-2.0 #AI-generated text detection #Multi-scale Positive-Unlabeled learning #RoBERTa-Base architecture

Downloads 48

Release Time : 12/26/2023

Model Overview

This model employs the Multi-scale Positive-Unlabeled detection method (MPU), specifically designed to detect AI-generated text content, trained on the HC3 English dataset.

Model Features

Multi-scale detection

Uses the Multi-scale Positive-Unlabeled detection method (MPU) to improve detection accuracy

RoBERTa-based

Utilizes the RoBERTa-Base pre-trained model as the foundational architecture

Specialized for AIGC

Specifically designed to detect AI-generated text content

Model Capabilities

AI-generated text detection

Text classification

Natural language processing

Use Cases

Content moderation

AI-generated content identification

Identify AI-generated content on platforms such as social media and forums

Effectively distinguishes between human-written and AI-generated text

Academic integrity

Academic paper detection

Detect potential AI-generated content in academic papers

Helps maintain academic integrity

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English 简体中文繁體中文にほんご

AIGC Detector Env1

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 AIGC Detector (MPU)

📚 Documentation

Version: En_v1

📄 License