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English(EN) "I understand that there have been some experiments showing that LLM review may have similar outcomes to human peer review, but who cares? Either scholarship, r

Emily Bender 质疑学术界的大型语言模型同行评审

作者 PulseAugur 编辑部 · [1 个来源] ·

Emily M. Bender 质疑在学术界使用大型语言模型进行同行评审的价值。她认为，如果研究和出版本质上是人类的活动，那么由大型语言模型驱动的评审就破坏了这一核心原则。Bender 认为，即使大型语言模型评审的结果与人类评审相似，但如果过程本身偏离了以人类为中心的学术研究，那么这些结果就无关紧要了。 AI

影响 挑战人工智能整合到核心学术流程中，质疑人工智能驱动的学术研究的有效性。

排序理由 一位知名人士发表的观点文章，质疑人工智能在特定领域的应用。

在 Bluesky Jetstream — AI desk 阅读 →

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

Emily Bender 质疑学术界的大型语言模型同行评审

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2 / 100
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一位知名人士发表的观点文章，质疑人工智能在特定领域的应用。
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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.
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opinion, other
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报道来源 [1]

  1. Bluesky Jetstream — AI desk TIER_1 English(EN) · emilymbender.bsky.social ·

    "I understand that there have been some experiments showing that LLM review may have similar outcomes to human peer review, but who cares? Either scholarship, r

    "I understand that there have been some experiments showing that LLM review may have similar outcomes to human peer review, but who cares? Either scholarship, research and publishing are human enterprises or they aren’t." www.insidehighered.com/opinion/colu... >>

    链接 insidehighered.com/…/generative-ai-not-ou…

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