Fluent AI-written Kazakh threatens the academic integrity of universities where requirements to study in Kazakh are rising. To the best of our knowledge, there exists no public automatic detector of Kazakh AI-written text. In order to evaluate detectors’ quality, we compile a balanced benchmark with 24,678 documents by...
AI text generators are usually evaluated with their output being fed directly into detectors, while in actuality, users tend to paraphrase or back-translate texts before submitting them to be graded. In the following study, four detectors are tested at each of five increasing levels of attacks based on HC3, RAID, and M...
Batyr Sharimbayev, S. Kadyrov, Adil Akhmetov et al.· 2026 IEEE 1st International...· 0 citations
This systematic literature review synthesizes peer-reviewed and high-quality studies published between 2023 and 2026 on AI-obfuscated, AI-refined, and humanized text and suggests that AI-text detection should be treated as one supportive signal rather than a stand-alone judgment, particularly in high-stakes academic or...
Batyr Sharimbayev, S. Kadyrov· Engineering, Technology &...· 0 citations
The review found frequent use of supervised machine learning, regularized regression, EFA, CFA, SEM, and learning analytics, but limited reported use of explainable AI, subgroup fairness analysis, multimodal validation, and longitudinal designs.
N. Baizhanov, Batyr Sharimbayev, Zhairan Churbanova et al.· Frontiers in Artificial Inte...· 0 citations
Test set results show that Decoding-Enhanced Bert with Disentangled Attention (DeBERTa) achieves the highest macro F1 − Score of 85.48%, surpassing the previously top-ranked Multi-Task Learning (MTL) system, which attains a macro F1 of 83.07%.
Batyr Sharimbayev, S. Kadyrov· Journal of Advances in Infor...· 0 citations
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