---
id: 20260417-T0-10
title: "LLM逻辑推理正确仍可能答错题"
title_en: "LLMs Can Reason Correctly but Still Fail"
url: https://ai.daily.yangsir.net/daily/20260417-T0-10
issue_date: 2026-04-17
publish_date: 2026-04-16T04:00:00.000Z
category: research
source_name: "arXiv cs.CL (NLP)"
source_url: https://arxiv.org/abs/2604.13065
---

# LLM逻辑推理正确仍可能答错题

arXiv研究发现，LLM即使每步推理都正确，最终答案仍可能出错。研究团队推出 Novel Operator Test 测试基准，通过分离操作逻辑与操作名称，准确识别LLM的真实推理能力。该发现揭示了评估LLM推理能力的新方法，对改进模型训练有重要意义。

## English Version

**LLMs Can Reason Correctly but Still Fail**

arXiv study reveals LLMs can execute perfect chain-of-thought reasoning yet still produce wrong final answers. Researchers introduce Novel Operator Test, a benchmark that separates operator logic from naming. This discovery exposes limitations in current LLM evaluation methods and offers new insights for model improvement.

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**来源**：[arXiv cs.CL (NLP)](https://arxiv.org/abs/2604.13065)

**详情页**：https://ai.daily.yangsir.net/daily/20260417-T0-10

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