AI RESEARCH
Right for the Wrong Reasons: Epistemic Regret Minimization for Causal Rung Collapse in LLMs
arXiv CS.AI
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ArXi:2602.11675v2 Announce Type: replace Machine learning systems that are "right for the wrong reasons" achieve high performance through shortcuts that collapse under distributional shift. We show this pathology has a precise causal origin: autoregressive