@inproceedings{maslo-gargova-2025-bust,
    title = "{B}u{ST}: A {S}iamese Transformer Model for {AI} Text Detection in {B}ulgarian",
    author = "Maslo, Andrii  and
      Gargova, Silvia",
    editor = "Przyby{\l}a, Piotr  and
      Shardlow, Matthew  and
      Colombatto, Clara  and
      Inie, Nanna",
    booktitle = "Proceedings of Interdisciplinary Workshop on Observations of Misunderstood, Misguided and Malicious Use of Language Models",
    month = sep,
    year = "2025",
    address = "Varna, Bulgaria",
    publisher = "INCOMA Ltd., Shoumen, Bulgaria",
    url = "https://preview.aclanthology.org/corrections-2026-01/2025.ommm-1.5/",
    pages = "45--52",
    abstract = "We introduce BuST (Bulgarian Siamese Transformer), a novel method for detecting machine-generated Bulgarian text using paraphrase-based semantic similarity. Inspired by the RAIDAR approach, BuST employs a Siamese Transformer architecture to compare input texts with their LLM-generated paraphrases, identifying subtle linguistic patterns that indicate synthetic origin. In pilot experiments, BuST achieved 88.79{\%} accuracy and an F1-score of 88.0{\%}, performing competitively with strong baselines. While BERT reached higher raw scores, BuST offers a model-agnostic and adaptable framework for low-resource settings, demonstrating the promise of paraphrase-driven detection strategies."
}