- 学术相关
- How music theory can inform competitive dynamics: anticipatory awareness and successful preemption
- Large language models as commonsense knowledge for large-scale task planning
- Improved decision-making through life event prediction: a case study in the financial services industry
- China: autocracy 2.0
- Automated social science: language models as scientist and subjects
- 运筹学丨如何判断一个变量是否是冗余的？
- 业界动态
学术相关
How music theory can inform competitive dynamics: anticipatory awareness and successful preemption1
Large language models as commonsense knowledge for large-scale task planning2
Improved decision-making through life event prediction: a case study in the financial services industry3
China: autocracy 2.04
Automated social science: language models as scientist and subjects5
运筹学丨如何判断一个变量是否是冗余的？
业界动态
国内首个“零售AI垂直大模型”诞生！—— 百灵鸟AI大模型
-
Lee, E. Y., Busenbark, J. R., Withers, M. C., & Zajac, E. J. (2024). How music theory can inform competitive dynamics: Anticipatory awareness and successful preemption. Academy of Management Review, amr.2022.0263. https://doi.org/10.5465/amr.2022.0263 ↩
-
Zhao, Z., Lee, W. S., & Hsu, D. (2023). Large language models as commonsense knowledge for large-scale task planning. Advances in Neural Information Processing Systems, 36, 31967–31987. ↩
-
Diaz, S. B., Coussement, K., & De Caigny, A. (2024). Improved decision-making through life event prediction: A case study in the financial services industry. Decision Support Systems, 114342. https://doi.org/10.1016/j.dss.2024.114342 ↩
-
Yang, D. (2024). China: Autocracy 2.0 (No. w32993; p. w32993). National Bureau of Economic Research. https://doi.org/10.3386/w32993 ↩
-
Manning, B., Zhu, K., & Horton, J. (2024). Automated social science: Language models as scientist and subjects (No. w32381; p. w32381). National Bureau of Economic Research. https://doi.org/10.3386/w32381 ↩