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cs.AI2026
A Two-Stage LLM Framework for Accessible and Verified XAI Explanations
Georgios Mermigkis, Dimitris Metaxakis, Marios Tyrovolas +4
Large Language Models (LLMs) are increasingly used to translate the technical outputs of eXplainable Artificial Intelligence (XAI) methods into accessible natural-language explanat…
cs.AI2024
Advancing Explainable AI with Causal Analysis in Large-Scale Fuzzy Cognitive Maps
Marios Tyrovolas, Nikolaos D. Kallimanis, Chrysostomos Stylios
In the quest for accurate and interpretable AI models, eXplainable AI (XAI) has become crucial. Fuzzy Cognitive Maps (FCMs) stand out as an advanced XAI method because of their abi…