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LLMs can pinpoint past events but fail to keep a coherent and up-to-date record of customer life changes over time.
Identifying cliff tokens reveals that a single token can drastically shift LLM performance, with targeted removal leading to near-perfect accuracy in mathematical reasoning tasks.
