Detecting AI-generated text in high-resource languages: developing a RoBERTa-CNN hybrid model for academic integrity challenge

Key Points

• Detection of AI-generated text improved with the hybrid roberta-cnn model, addressing academic integrity.
• The model demonstrates a significant increase in accuracy, surpassing traditional detection methods by 30%.
• Assessment using a hybrid model of roberta and cnn for natural language processing challenges.
• The findings highlight potential advancements in detecting AI-generated content in high-resource languages.