IntegrityAI at GenAI Detection Task 2: Detecting Machine-Generated Academic Essays in English and Arabic Using ELECTRA and Stylometry
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arXiv
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866908179846135808 |
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| author | AL-Smadi, Mohammad |
| author_facet | AL-Smadi, Mohammad |
| contents | 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. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2501_05476 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | IntegrityAI at GenAI Detection Task 2: Detecting Machine-Generated Academic Essays in English and Arabic Using ELECTRA and Stylometry AL-Smadi, Mohammad Computation and Language Artificial Intelligence 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. |
| title | IntegrityAI at GenAI Detection Task 2: Detecting Machine-Generated Academic Essays in English and Arabic Using ELECTRA and Stylometry |
| topic | Computation and Language Artificial Intelligence |
| url | https://arxiv.org/abs/2501.05476 |