---
id: 20260425-T0-05
title: "精度差异导致大模型输出不一致问题"
title_en: "Precision Differences Cause LLM Output Disagreements"
url: https://ai.daily.yangsir.net/daily/20260425-T0-05
issue_date: 2026-04-25
publish_date: 2026-04-24T04:00:00.000Z
category: research
source_name: "arXiv cs.AI"
source_url: https://arxiv.org/abs/2604.19790
---

# 精度差异导致大模型输出不一致问题

新研究揭示大模型在不同数值精度配置下存在系统性输出偏差。当模型使用bfloat16、float16或int8等不同精度时，相同输入可能产生完全不同的输出结果。这种精度诱导的不一致性在高可靠性场景（如医疗、法律）中可能导致严重后果，研究团队已提出20个易受影响的典型场景。

## English Version

**Precision Differences Cause LLM Output Disagreements**

New research reveals systematic output inconsistencies in LLMs under different numerical precision settings. Same inputs produce different outputs when models use bfloat16, float16, or int8. This precision-induced disagreement can cause serious issues in high-stakes scenarios like healthcare and law, with researchers identifying 20 vulnerable cases.

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**来源**：[arXiv cs.AI](https://arxiv.org/abs/2604.19790)

**详情页**：https://ai.daily.yangsir.net/daily/20260425-T0-05

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