Argument Quality

Argument quality assessment focuses on understanding and evaluating the persuasiveness and validity of arguments, aiming to improve reasoning and decision-making across various domains. Current research emphasizes computational approaches, leveraging large language models (LLMs) and techniques like prompt tuning, counterfactual explanations, and ensemble methods to analyze argument structure, strength, and impact, often within frameworks of quantitative argumentation. This work has significant implications for applications such as automated debate systems, legal mediation, and education, offering the potential to enhance critical thinking and mitigate the spread of misinformation.