Multilabel Classification of Persuasion Techniques with self-improving LLM agent: SlavicNLP 2025 Shared Task
Year: 2025
Type: conference-paper
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.
Institution: Poznań University of Economics and Business
Language: English
Topic: Topic Modeling
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4412888994
