@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://aclanthology.org/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."
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%0 Conference Proceedings
%T Multilabel Classification of Persuasion Techniques with self-improving LLM agent: SlavicNLP 2025 Shared Task
%A Sawinski, Marcin
%A Wecel, Krzysztof
%A Ksiezniak, Ewelina
%Y Piskorski, Jakub
%Y Přibáň, Pavel
%Y Nakov, Preslav
%Y Yangarber, Roman
%Y Marcinczuk, Michal
%S Proceedings of the 10th Workshop on Slavic Natural Language Processing (Slavic NLP 2025)
%D 2025
%8 July
%I Association for Computational Linguistics
%C Vienna, Austria
%@ 978-1-959429-57-9
%F sawinski-etal-2025-multilabel
%X 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.
%R 10.18653/v1/2025.bsnlp-1.26
%U https://aclanthology.org/2025.bsnlp-1.26/
%U https://doi.org/10.18653/v1/2025.bsnlp-1.26
%P 231-253
Markdown (Informal)
[Multilabel Classification of Persuasion Techniques with self-improving LLM agent: SlavicNLP 2025 Shared Task](https://aclanthology.org/2025.bsnlp-1.26/) (Sawinski et al., BSNLP 2025)
ACL