👋 I am Yuxi Wang (王愉茜), a research scientist at BIGAI.

我是王愉茜，目前是 BIGAI 的研究员。

🧠 My research asks: How can AI systems monitor and regulate their own cognitive processes?

我的研究关注：AI 系统如何监控并调节自身的认知过程？

Drawing on my background in cognitive science and neuroscience, my current research focuses on AI metacognition—how artificial agents assess their own knowledge, uncertainty, and limitations, and use this information to guide learning, reasoning, and decision-making.

基于认知科学与神经科学的研究背景，我目前主要关注 AI 元认知：人工智能体如何评估自身的知识、不确定性与能力边界，并利用这些信息指导学习、推理与决策。

🔍 I also work on the evaluation and interpretability of AI cognitive capabilities. By drawing on theories and experimental paradigms from cognitive science, I develop cognitively grounded evaluations and benchmarks, and investigate the relationships among models’ internal representations, self-reports, and observable behavior.

我也关注 AI 认知能力的评测与可解释性。通过借鉴认知科学的理论与实验范式，我尝试构建具有认知理论基础的评测与基准，并考察模型内部表征、自我报告与外部行为之间的关系。

🌱 Ultimately, I aim to contribute to the development of AI systems that can recognize their limitations, regulate their behavior, and adapt autonomously—making artificial intelligence more general, interpretable, reliable, and trustworthy.

最终，我希望推动能够识别自身局限、调节自身行为并自主适应的 AI 系统发展，使人工智能更加通用、可解释、可靠且可信赖。

For the most up-to-date publication list and citation metrics, please visit my Google Scholar profile.