arXiv:2505.21378cs.CL2025-05EMNLP被引 1

分析大模型对性别语言改革的修订是否符合女性主义与跨性别包容标准。

Analyzing values about gendered language reform in LLMs' revisions

  • 研究大模型如何修改性别化职业词汇及其理由
  • 发现模型对语境敏感度接近人类,但存在偏差
  • 适合关注AI伦理与语言公平的研究者阅读

在常见的大模型文本修订场景中,我们研究了大模型对性别化角色名词(如outdoorsperson/woman/man)的修改行为及其解释依据,评估其与英语中女性主义及跨性别包容性语言改革的一致性。结合社会语言学视角,进一步考察大模型是否像人类一样对改革应用中的语境效应具有敏感性,发现广泛证据表明模型具备类似的人类语境感知能力。本研究揭示了大模型在价值对齐方面的潜在问题与改进方向。

原文摘要 · Abstract (English)

Within the common LLM use case of text revision, we study LLMs' revision of gendered role nouns (e.g., outdoorsperson/woman/man) and their justifications of such revisions. We evaluate their alignment with feminist and trans-inclusive language reforms for English. Drawing on insight from sociolinguistics, we further assess if LLMs are sensitive to the same contextual effects in the application of such reforms as people are, finding broad evidence of such effects. We discuss implications for value alignment.

语言公平大模型伦理对齐

Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品;中文卡片由大模型生成,请以原文为准。