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cs.AI2026
U-CECE: A Universal Multi-Resolution Framework for Conceptual Counterfactual Explanations
Angeliki Dimitriou, Nikolaos Chaidos, Maria Lymperaiou +2
As AI models grow more complex, explainability is essential for building trust, yet concept-based counterfactual methods still face a trade-off between expressivity and efficiency.…
cs.CL2026
Evaluating Counterfactual Strategic Reasoning in Large Language Models
Dimitrios Georgousis, Maria Lymperaiou, Angeliki Dimitriou +2
We evaluate Large Language Models (LLMs) in repeated game-theoretic settings to assess whether strategic performance reflects genuine reasoning or reliance on memorized patterns. W…