English(EN) The Dichotomy Between Pattern Recognition and Step-by-Step Reasoning

新理论将大语言模型推理与De Bruijn图联系起来

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-08 04:00

研究人员提出，大语言模型中的模式识别和逐步推理存在一个连续统一体。他们引入了De Bruijn图的概念来模拟推理轨迹，并提出当数据结构化使得下一个词元仅依赖于最少的先前上下文时，大语言模型就能学会逐步推理。对Qwen2.5-1.5B-Instruct的实证测试表明，适度的状态密度可以平衡准确性和鲁棒性，而Qwen3模型即使在注意力窗口受限的情况下也能保持显著的准确性。 AI

影响提出了一个理解和改进大语言模型推理能力的新理论框架，可能导致更具样本效率的训练。

排序理由该集群包含一篇arXiv论文，详细介绍了LLM推理的新理论框架和实证结果。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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arXiv cs.LG TIER_1 English(EN) · Amrut Nadgir, Pratik Chaudhari, Vijay Balasubramanian · 2026-10-08 04:00

模式识别与逐步推理之间的二分法

arXiv:2610.09186v1 Announce Type: new Abstract: We argue that pattern recognition and step-by-step reasoning are two ends of a spectrum. A large language model (LLM) learns to reason step-by-step when data is structured such that the next token depends on a small amount of preced…

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模式识别与逐步推理之间的二分法

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