From Plausible to Actionable: A Position on LLM Self-Explanations
Large Language Models (LLMs) can generate natural language explanations that rationalize their own decisions, a phenomenon commonly referred to as self-explanations.Such explanations have emerged as a promising direction for explainable artificial intelligence (XAI), particularly for interpreting LLM behavior.However, while self-explanations often appear plausible, whether they faithfully reflect a model's underlying reasoning process remains an open question. In this opinion paper, we argue that self-explanations can be highly plausible, questionably faithful, and yet highly actionable. From
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- PossiblePossibly related (embedding) · 47%Northwind AI →
- LinkedLinked via arxiv author · 85%Elize Herrewijnen →
“From Plausible to Actionable: A Position on LLM Self-Explanations”
- LinkedLinked via arxiv author · 85%Benedetta Muscato →
“From Plausible to Actionable: A Position on LLM Self-Explanations”
- LinkedLinked via arxiv author · 85%Gizem Gezici →
“From Plausible to Actionable: A Position on LLM Self-Explanations”
- LinkedLinked via arxiv author · 85%Fosca Giannotti →
“From Plausible to Actionable: A Position on LLM Self-Explanations”