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English(EN) What's in a Name? Morphological Shortcuts by LLMs in Pharmacology

大型语言模型依赖药物名称词缀,存在安全风险

研究人员发现,大型语言模型可能会被药物名称的形态结构所误导,导致药理学推理不准确。通过使用具有真实词缀的虚构药物名称,研究表明模型通常仅根据这些单词部分推断药物属性。一项应用于 600 多种药物的新框架显示,模型经常在没有明确指示的情况下依赖词缀线索,有时会导致它们混淆具有相似词缀的药物的属性,对安全构成微妙风险。 AI

影响 识别出大型语言模型推理中存在的微妙风险,可能影响医学等高风险应用。

排序理由 学术论文,详细介绍了关于大型语言模型行为的新发现。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

大型语言模型依赖药物名称词缀,存在安全风险

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学术论文,详细介绍了关于大型语言模型行为的新发现。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Kaijie Mo, Thomas Yang, Chantal Shaib, Qing Yao, William Rudman, Ramez Kouzy, Kanishka Misra, Byron C. Wallace, Junyi Jessy Li ·

    名字的意义?大型语言模型在药理学中的形态学捷径

    arXiv:2606.05616v1 Announce Type: new Abstract: The morphological form of a word can often give cues to its meaning, but purely relying on these mappings can lead to overgeneralization in high-stakes domains. In the medical domain, for instance, LLMs can confidently reason about …