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English(EN) @ jhlagado The LLM dream is that in addition to the random text generation, the vectors in their insanely high-dimensional token spaces would connectionisticall

MIT论文质疑LLM的语义推理能力

最近的一篇MIT论文表明,尽管拥有海量训练数据,大型语言模型(LLM)并未实现语义网络的连接主义梦想。该论文指出,LLM虽然能够生成文本,但在执行符号语义推理方面存在困难,而这正是连接主义方法也未能完全实现的目标。 AI

影响 质疑当前LLM在实现真正语义理解方面的基本能力。

排序理由 该条目讨论了一篇论文的发现,并对LLM的能力提出了看法,符合评论类别。

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MIT论文质疑LLM的语义推理能力

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该条目讨论了一篇论文的发现,并对LLM的能力提出了看法,符合评论类别。
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报道来源 [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    LLM的梦想是,除了随机文本生成之外,其极高维令牌空间中的向量还将连接主义地

    @ jhlagado The LLM dream is that in addition to the random text generation, the vectors in their insanely high-dimensional token spaces would connectionistically converge on semantic nets, and they'd have AI. But a recent MIT paper pointed out that no matter how much training dat…