English(EN) Possible or Definite? A Benchmark for Evaluating Diagnostic Uncertainty Preservation in Clinical Text

新基准揭示大型语言模型在临床文本中难以处理诊断不确定性

作者 PulseAugur 编辑部 · [2 个来源] · 2026-06-16 20:30

一项新的基准测试已被开发出来，用于评估大型语言模型（LLMs）在临床文本中保留诊断不确定性的能力。研究发现，当前的LLMs往往无法维持原有的不确定性水平，有时保留不确定性的次数不到一半。该研究强调了LLMs在临床环境中一种关键的失效模式，因为改变不确定性表达会显著改变临床意义并影响治疗决策。 AI

影响强调了LLMs在临床工作流程中的一种关键失效模式，影响安全部署和治疗决策。

排序理由该集群包含一篇详细介绍新基准和LLM评估的学术论文。

AI 生成摘要 · Google Gemini · 来自 2 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Research; 该集群包含一篇详细介绍新基准和LLM评估的学术论文。
Source corroboration: 2 independent sources; Multiple independent publishers reporting the same story raises confidence that it's real and newsworthy.
Topics: paper, safety, product; 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: 90 days old; Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

arXiv cs.CL TIER_1 English(EN) · Hongbo Du, Zixin Lu, Jiaming Qu · 2026-06-18 04:00

可能还是确定？用于评估临床文本中诊断不确定性保留的基准

arXiv:2606.18471v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used for clinical text tasks such as summarization and revision. While most studies evaluate the fluency and coherence of LLM-generated text, whether LLMs correctly preserve diagnostic u…
arXiv cs.CL TIER_1 English(EN) · Jiaming Qu · 2026-06-16 20:30

可能还是确定？用于评估临床文本中诊断不确定性保留的基准

Large language models (LLMs) are increasingly used for clinical text tasks such as summarization and revision. While most studies evaluate the fluency and coherence of LLM-generated text, whether LLMs correctly preserve diagnostic uncertainty remains underexplored. In clinical pr…