Xiang Yin

Contrastive explanations can reveal nuanced differences between competing arguments, significantly enhancing interpretability in AI-driven decision-making.

Argumentation semantics could be the key to reliable and explainable debate judgement in AI, outperforming traditional LLM-based methods in formal guarantees.