arXiv — NLP / Computation & Language · · 3 min read

VietAIDetector: An Open-Source Zero-Shot Detector for Vietnamese AI-Generated Text

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Computer Science > Computation and Language

arXiv:2608.25478 (cs)
[Submitted on 26 Aug 2026]

Title:VietAIDetector: An Open-Source Zero-Shot Detector for Vietnamese AI-Generated Text

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Abstract:In recent years, distinguishing between AI-generated text and human-written text has remained a challenge. In this paper, we introduce VietAIDetector, an open-source tool designed specifically for detecting Vietnamese AI-generated text. It allows users to interact through a Gradio web interface with inputs ranging from raw Vietnamese text to common text file formats, including scanned documents and exceptionally long texts that exceed the context size of the employed Large Language Models (LLMs). The core component of the tool employs a Zero-Shot approach to detect AI-generated text without requiring domain-specific training data, building upon the previous VietBinoculars and Binoculars research. The tool is built upon a Vietnamese-specific language model and has been evaluated on out-of-domain datasets, demonstrating superior performance compared to existing methods primarily developed for English. Additionally, users can select optimal detection thresholds based on F1 score, accuracy, or TPR@0.05FPR requirements. The results are presented through the web interface, allowing users to easily review and verify suspicious texts or download them as a PDF report. The tool is publicly available at this https URL
Comments: 17 pages, 5 figures
Subjects: Computation and Language (cs.CL)
Cite as: arXiv:2608.25478 [cs.CL]
  (or arXiv:2608.25478v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2608.25478
arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Trieu Hai Nguyen [view email]
[v1] Wed, 26 Aug 2026 07:48:03 UTC (873 KB)
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