arxiv 资讯 热度 17

Order-Invariant Answers, Order-Sensitive Representations in Mathematical Reasoning

AI 导读

数学推理表示答案不变性表示区分度模型SNR

研究发现,数学推理中答案不变性与表示不变性不同,模型准确率与表示区分度正相关,为理解数学推理机制提供新视角。

The study reveals that answer invariance and representation invariance differ in mathematical reasoning. Model accuracy correlates with representation distinctiveness, offering new insights into reasoning mechanisms.

重点速览

  • 重新排列规则不影响答案,但模型内部表示可能变化 Reordering rules doesn't change answers but may alter internal representations
  • 准确率与表示区分度呈正相关,SNR达0.86 Accuracy correlates with permutation SNR across models
  • 答案不变性与表示不变性是不同概念 Answer invariance differs from representation invariance
  • 结果为数学推理的表示研究提供新方向 Findings offer new perspectives on reasoning representations

一句话:数学推理中,答案不变性与表示不变性可共存,模型表现与表示区分度密切相关。 / Answer invariance and representation invariance can coexist in mathematical reasoning, with model performance linked to representation distinctiveness.

推荐理由 揭示数学推理中答案与表示的差异,为模型设计提供新思路。

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