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Cliff Tokens: Analyzing Failure Trigger Tokens in LLM Mathematical Reasoning
Large language models reach high accuracy in mathematical reasoning, but individual traces on the same problem diverge; some arrive at the correct answer while others fail. Prior work localizes such failures at the step, chunk, or sentence level, or identifies tokens where failure has already occurr
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