@inproceedings{sawinski-etal-2025-multilabel,
    title = "Multilabel Classification of Persuasion Techniques with self-improving {LLM} agent: {S}lavic{NLP} 2025 Shared Task",
    author = "Sawinski, Marcin  and
      Wecel, Krzysztof  and
      Ksiezniak, Ewelina",
    editor = "Piskorski, Jakub  and
      P{\v{r}}ib{\'a}{\v{n}}, Pavel  and
      Nakov, Preslav  and
      Yangarber, Roman  and
      Marcinczuk, Michal",
    booktitle = "Proceedings of the 10th Workshop on Slavic Natural Language Processing (Slavic NLP 2025)",
    month = jul,
    year = "2025",
    address = "Vienna, Austria",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2025.bsnlp-1.26/",
    doi = "10.18653/v1/2025.bsnlp-1.26",
    pages = "231--253",
    ISBN = "978-1-959429-57-9",
    abstract = "We present a system for the SlavicNLP 2025 Shared Task on multilabel classification of 25 persuasion techniques across Slavic languages. We investigate the effectiveness of in-context learning with one-shot classification, automatic prompt refinement, and supervised fine-tuning using self-generated annotations. Our findings highlight the potential of LLM-based system to generalize across languages and label sets with minimal supervision."
}