提问方式竟能左右大模型性别偏见，揭秘语言习惯背后的隐性歧视，AI公平性研究者必读
arXiv:2608.13328v1 Announce Type: cross Abstract: Professional communication is increasingly mediated by LLMs - but do these models serve all users eq…
聚焦日本职场，揭示LLM招聘决策中的性别偏差与缓解方案。
arXiv:2606.18649v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly deployed in hiring workflows, yet most research on gen…
LLM辅助学生写作时，模型中的性别偏见竟会传染给人类作者，这篇研究用实验数据敲响警钟
arXiv:2606.15914v1 Announce Type: new Abstract: Gender bias in LLMs has been studied extensively in model outputs, with biased prompts shown to amplif…
研究揭示大模型生成动物故事时性别偏见，所谓“中立”其实暗藏刻板印象。
arXiv:2606.07969v1 Announce Type: new Abstract: Gender bias in AI-generated stories is a well-documented problem. While much attention has been paid t…
人格设定竟能左右AI的性别偏见？英印双语实证研究揭示大模型叙事中的隐秘倾向。
arXiv:2604.23600v2 Announce Type: replace Abstract: Large Language Models (LLMs) are increasingly deployed in persona-driven applications such as educ…
跨语言审计揭示大模型性别偏见与人类基线差异，公平性研究新视角
arXiv:2605.30804v1 Announce Type: new Abstract: We audit six large language models (LLMs) for gender stereotyping across English, Korean, Chinese, and…
从机制层面揭示链式思考提示如何放大或缓解LLM中的性别偏见，ICLR 2026 Workshop前沿研究。
arXiv:2605.20410v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly deployed in socially sensitive settings despite substant…