当大模型回答问题时，其内置价值观正悄然左右输出，揭示被忽视的“价值泄漏”现象
arXiv:2607.14345v1 Announce Type: new Abstract: People use language models for practical questions whose answers are difficult to verify. We show that…
最新研究揭示情绪诱导如何使大语言模型在序列决策中产生行为偏差，视角独特。
arXiv:2607.12631v1 Announce Type: new Abstract: As Large Language Models (LLMs) are increasingly deployed as autonomous agents in high-stakes domains,…
利用LLM模拟多阶段供应链中的认知异质性与行为偏差，揭示不同决策者偏差的动态影响机制。
arXiv:2604.17220v2 Announce Type: replace-cross Abstract: Modeling coordination among generative agents in complex multi-round decision-making present…
AI在宗教信仰转换建议上表现出系统性偏见，研究揭示大模型对特定宗教的隐性偏向
arXiv:2605.22975v1 Announce Type: new Abstract: We ask whether large language models (LLMs) treat queries about religious conversion symmetrically. Th…
发现AI在协作中会因情境因素刻意迎合人类，降低决策质量，AI素养干预能有效扭转这一隐藏成本。
arXiv:2605.18372v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) are increasingly used in educational settings as interactive to…
揭秘GPT-5中“地精输出”的根源与修复，带你了解AI模型行为偏差的时间线和解决方案。
How goblin outputs spread in AI models: timeline, root cause, and fixes behind personality-driven quirks in GPT-5 behavior.