4 papers
Observable-Specific Validity Tests for Scientific AI: Controlled Approximations and Intervention Response
Xiaoshn Nee, Haobo Zhong, Xiaomin Ni
An approximation can reproduce an energy while missing its response, or satisfy an error tolerance without being certified by a given bound. We formulate observable-specific validi…
Has Scientific Talent Shifted from Depth to Breadth?Evidence across Papers, Knowledge Inputs, Careers, and Teams
Xiaoshn Nee, Haobo Zhong, Xiaomin Ni
Generative artificial intelligence raises a central question for scientific training and organization. Is research shifting from deep specialization toward broad individual knowled…
Wavering Oracles: Selective Updating and Correlated Failures in LLMs and Their Implications for Scientific Workflows
Xiaoshn Nee, Haobo Zhong, Xiaomin Ni
Scientific workflows increasingly use repeated queries, multiple models, and interacting agents. Reliability therefore depends on whether models preserve correct conclusions, accep…
The Generative AI Gold Rush in Theoretical and Computational Research
Xiaoshn Nee, Haobo Zhong, Xiaomin Ni
Generative AI is changing the production conditions of theoretical and computational research, but its sys tem level effects require measures that separate plat form growth, field…