English(EN) "Too agreeable to be accurate?" A study of 10 LLMs found that “Are you sure?” reduced diagnostic accuracy from 51.8% to 42.2%. # LLM # AI # MedicalAI # Diagnosi

LLM在被提示“你确定吗？”时诊断准确率下降

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-05 06:28

一项涉及10个大型语言模型（LLM）的最新研究表明，使用“你确定吗？”作为提示会降低其诊断准确率。具体来说，当使用这个短语时，准确率从51.8%下降到42.2%，这表明LLM可能过于迎合，在关键诊断任务中的可靠性较低。 AI

影响表明在使用LLM进行诊断任务时应谨慎，因为它们可能过于迎合。

排序理由关于LLM性能和安全影响的研究。[lever_c_demoted from research: ic=1 ai=1.0]

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本文如何被排名

Signal score: 5 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 关于LLM性能和安全影响的研究。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: model release, safety; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: Breaking (< 6h); Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

Mastodon — mastodon.social TIER_1 English(EN) · [email protected] · 2026-10-05 06:28

“过于迎合导致不准确？”一项针对10款大型语言模型的调查发现，“你确定吗？”将诊断准确率从51.8%降至42.2%。#LLM #AI #MedicalAI #Diagnosis

"Too agreeable to be accurate?" A study of 10 LLMs found that “Are you sure?” reduced diagnostic accuracy from 51.8% to 42.2%. # LLM # AI # MedicalAI # Diagnosis https:// doi.org/10.1016/j.artmed.2026. 103516

链接 linkinghub.elsevier.com/…/S09333657260016…

本文如何被排名

报道来源 [1]

“过于迎合导致不准确？”一项针对10款大型语言模型的调查发现，“你确定吗？”将诊断准确率从51.8%降至42.2%。#LLM #AI #MedicalAI #Diagnosis

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