Chain-of-illocution prompting improves source adherence in RAG explanations for programming education by up to 63% over baselines.
In: World Conference on Explainable Artificial Intelligence, pp
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A qualitative-to-quantitative scoring framework is proposed to evaluate how well model-agnostic XAI methods support EU AI Act explainability requirements.
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Illocutionary Explanation Planning for Source-Faithful Explanations in Retrieval-Augmented Language Models
Chain-of-illocution prompting improves source adherence in RAG explanations for programming education by up to 63% over baselines.
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Assessing Model-Agnostic XAI Methods against EU AI Act Explainability Requirements
A qualitative-to-quantitative scoring framework is proposed to evaluate how well model-agnostic XAI methods support EU AI Act explainability requirements.