AI RESEARCH
Teaching Large Language Models When Not to Know: Learning Temporal Critique for Ex-Ante Reasoning
arXiv CS.AI
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ArXi:2605.14636v1 Announce Type: new Large language models (LLMs) often fail to reason under temporal cutoffs: when prompted to answer from the standpoint of an earlier time, they exploit knowledge that became available only later. We study this failure through the lens of ex-ante reasoning, where a model must rely exclusively on information knowable before a cutoff.