---
id: 20260624-T0-11
title: "研究揭示思维树推理策略的局限性"
title_en: "Study Reveals Inelasticity and Limitations of Tree-of-Thought Reasoning"
url: https://ai.daily.yangsir.net/daily/20260624-T0-11
issue_date: 2026-06-24
publish_date: 2026-06-23T04:00:00.000Z
category: research
source_name: "arXiv cs.AI"
source_url: https://arxiv.org/abs/2606.20599
---

# 研究揭示思维树推理策略的局限性

arXiv 新论文探讨了思维树策略在提升大模型推理能力时的实际瓶颈。研究发现，ToT 方法在实际部署中缺乏“弹性”，即单纯增加计算预算并不总能带来线性回报。该结论对当前追求“ Scaling Law ”的思维链优化提出了质疑，提示需重新评估搜索策略的效率。

## English Version

**Study Reveals Inelasticity and Limitations of Tree-of-Thought Reasoning**

A new arXiv paper investigates the bottlenecks of Tree-of-Thought (ToT) strategies in LLM reasoning. The study finds that ToT methods exhibit inelasticity, meaning increased computational budgets do not yield linear returns. This challenges the current pursuit of scaling law optimizations in reasoning.

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**来源**：[arXiv cs.AI](https://arxiv.org/abs/2606.20599)

**详情页**：https://ai.daily.yangsir.net/daily/20260624-T0-11

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