A Hybrid Theory and Data-driven Approach to Persuasion Detection with Large Language Models
Published:Nov 27, 2025 04:59
•1 min read
•ArXiv
Analysis
This article presents a research paper on persuasion detection using Large Language Models (LLMs). The approach combines theoretical understanding with data-driven methods, suggesting a potentially robust and nuanced approach to identifying persuasive techniques in text. The focus on LLMs indicates a contemporary and relevant area of research.
Key Takeaways
Reference
“The article likely details the specific hybrid methodology, datasets used, and evaluation metrics.”