自适应生成问题来精准挖掘LLM潜在偏见，为AI安全提供全新检测方案
arXiv:2510.12857v2 Announce Type: replace-cross Abstract: Large language models (LLMs) are now widely deployed in user-facing applications, reaching h…
研究发现，多模态大模型的社会偏见主要源于少量人类视觉线索，而非文本信息，挑战传统认知。
arXiv:2606.20527v1 Announce Type: new Abstract: Multimodal large language models (MLLMs) are increasingly deployed in personally and societally conseq…
新方法自动扫描提示词，揭露AI图像生成模型在性别、种族上的隐蔽偏见，推动公平性研究。
arXiv:2512.08724v3 Announce Type: replace Abstract: Text-to-image (TTI) diffusion models have achieved remarkable visual quality, yet they have been r…
新提出的TriEval管道，以低资源消耗高效评估大模型的偏见、毒性与真实性。
arXiv:2606.03036v1 Announce Type: new Abstract: LLMs have evolved from basic chatbots to the backbone of the AI ecosystem, now widely used in healthca…