dailyai.report

A new paper on arXiv proposes a definition of good explanations rooted in counterfactuals and user prior beliefs. The authors argue that LLM outputs resist simple explanation due to these complex interlocutor dynamics. This theoretical shift forces researchers to move beyond static transparency. It challenges how developers validate the interpretability of complex model outputs.