Detecting AI-Generated Bengali Text: A Transformer Study
Research Paper#AI-Generated Text Detection, Bengali Language, Transformers🔬 Research|Analyzed: Jan 4, 2026 00:14•
Published: Dec 25, 2025 15:04
•1 min read
•ArXivAnalysis
This paper addresses the important problem of detecting AI-generated text, specifically focusing on the Bengali language, which has received less attention. The study compares zero-shot and fine-tuned transformer models, demonstrating the significant improvement achieved through fine-tuning. The findings are valuable for developing tools to combat the misuse of AI-generated content in Bengali.
Key Takeaways
- •Zero-shot performance of transformer models is poor for detecting AI-generated Bengali text.
- •Fine-tuning significantly improves detection accuracy, with several models achieving high performance.
- •The study provides a foundation for building robust systems to counter AI-generated content in Bengali.
Reference / Citation
View Original"Fine-tuning significantly improves performance, with XLM-RoBERTa, mDeBERTa and MultilingualBERT achieving around 91% on both accuracy and F1-score."