IntegrityAI at GenAI Detection Task 2: Detecting Machine-Generated Academic Essays in English and Arabic Using ELECTRA and Stylometry

• URL: http://arxiv.org/abs/2501.05476v1
• Date: Tue, 07 Jan 2025 10:19:56 GMT
• Title: IntegrityAI at GenAI Detection Task 2: Detecting Machine-Generated Academic Essays in English and Arabic Using ELECTRA and Stylometry
• Authors: Mohammad AL-Smadi,
• Abstract summary: This research utilizes pre-trained, transformer-based models fine-tuned on Arabic and English academic essays with stylometric features. Proposed models achieved excellent results with an F1-score of 99.7%, ranking 2nd among 26 teams in the English subtask, and 98.4%, finishing 1st out of 23 teams in the Arabic one.
• Score: 0.21756081703275998
• License:
• Abstract: Recent research has investigated the problem of detecting machine-generated essays for academic purposes. To address this challenge, this research utilizes pre-trained, transformer-based models fine-tuned on Arabic and English academic essays with stylometric features. Custom models based on ELECTRA for English and AraELECTRA for Arabic were trained and evaluated using a benchmark dataset. Proposed models achieved excellent results with an F1-score of 99.7%, ranking 2nd among of 26 teams in the English subtask, and 98.4%, finishing 1st out of 23 teams in the Arabic one.

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