Habash, Nizar

Perception, performance, and detectability of conversational artificial intelligence across 32 university courses

Ibrahim, H., Liu, F., Asim, R., Battu, B., Benabderrahmane, S., Alhafni, B., Adnan, W., Alhanai, T., AlShebli, B., Baghdadi, R., et al. (2023) · Scientific Reports

Academic integrity and plagiarismArtificial Intelligence in Education

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M4GT-Bench: Evaluation Benchmark for Black-Box Machine-Generated Text Detection

Wang, Y., Mansurov, J., Ivanov, P., Su, J., Shelmanov, A., Tsvigun, A., Mohammed Afzal, O., Mahmoud, T., Puccetti, G., Arnold, T., et al. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Authorship Attribution and ProfilingNatural Language Processing Techniques

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LLM-DetectAIve: a Tool for Fine-Grained Machine-Generated Text Detection

Abassy, M., Elozeiri, K., Aziz, A., Ta, M. N., Tomar, R. V., Adhikari, B., Ahmed, S. E. D., Wang, Y., Mohammed Afzal, O., Xie, Z., et al. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: System Demonstrations

Authorship Attribution and ProfilingNatural Language Processing Techniques

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ArabicMMLU: Assessing Massive Multitask Language Understanding in Arabic

Koto, F., Li, H., Shatnawi, S., Doughman, J., Sadallah, A. B., Alraeesi, A., Almubarak, K., Alyafeai, Z., Sengupta, N., Shehata, S., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1