English(EN) Thinking beyond the anthropomorphic paradigm benefits LLM research

论文认为拟人化限制了大语言模型研究，并提出了替代方案

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-15 04:00

一篇新发表在arXiv上的立场论文认为，大语言模型（LLM）研究中普遍使用的拟人化语言可能阻碍了进展。作者们分析了研究论文，发现将人类特质归因于大语言模型，虽然直观，但可能限制了其发展。他们建议探索用于大语言模型研究关键方面（如推理和评估）的实证性、非拟人化替代方案，以开启新的改进途径。 AI

影响挑战了当前的研究范式，可能通过超越以人类为中心的假设来为大语言模型的发展开辟新途径。

排序理由在arXiv上发表的研究论文，讨论了大语言模型研究方法论的概念转变。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.CL TIER_1 English(EN) · Lujain Ibrahim, Myra Cheng · 2026-09-15 04:00

超越拟人化范式有助于大型语言模型研究

arXiv:2502.09192v3 Announce Type: replace Abstract: Anthropomorphism, or the attribution of human traits to technology, is an automatic and unconscious response that occurs even in those with advanced technical expertise. In this position paper, we analyze hundreds of thousands o…