2025
ACL
ACL 2025
Multilabel Classification of Persuasion Techniques with self-improving LLM agent: SlavicNLP 2025 Shared Task
Abstract
AbstractWe 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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Interdisciplinary Bridge
— Artificial Intelligence and Deep Learning and Machine Learning and Natural Language Processing
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Keyword Pioneer
— self-improving agent
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio
Authors
Topics
Artificial Intelligence > Core AI > Agent Systems
Artificial Intelligence > Learning Paradigms > Few-Shot Learning
Machine Learning > Core Methods > Classification
Natural Language Processing > Applications > Text Classification
Artificial Intelligence > Core AI > Large Language Models
Machine Learning > Learning Types > In-Context Learning
Deep Learning > Models > Large Language Models
Machine Learning > Learning Types > Multi-Label Classification
Machine Learning > Learning Paradigms > In-Context Learning