Automated Testing of LLM-Based Post Hoc Explainers Using Model Checking as an Oracle
Read the original on arXiv AI →The Flow has not summarised this story yet — read it at arXiv AI.
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Large language models (LLMs) are used as post hoc explainers of sequential decision-making policies, producing natural-language explanations of why an action was chosen. However, LLMs often generate p...
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