A comprehensive study of LLM-based argument classification: from Llama through DeepSeek to GPT-5.2

1. 1Evaluate the performance of different LLMs on argument classification tasks
2. 2Compare the results with traditional machine learning approaches
3. 3Analyze the strengths and weaknesses of each model
4. 4Apply the findings to develop more accurate argument mining tools

NLP researchers and AI engineers on a team can benefit from this study to improve argument classification tasks, and product managers can apply these findings to develop more accurate argument mining tools

💡 LLMs significantly improve argument classification performance compared to traditional machine learning approaches

🤖 LLMs outperform traditional ML on argument classification! 📊