- 学术相关
- 40 years of decision support systems: a bibliometric analysis
- Unlocking big data success in the AI-driven era: Toward a unified theory for intelligent decision support
- ChatGPT decreases idea diversity in brainstorming
- Is Relevancy Everything? A Deep-Learning Approach to Understand the Effect of Image-Text Congruence
- Using an algorithmic approach to shape human decision-making through attraction to patterns
- Bridging prediction and decision: advances and challenges in data-driven optimization
- EconAgent: large language model-empowered agents for simulating macroeconomic activities
- 观点丨AI模拟社会，“幕后”的操控者究竟是谁？
学术相关
40 years of decision support systems: a bibliometric analysis 1
Unlocking big data success in the AI-driven era: Toward a unified theory for intelligent decision support 2
ChatGPT decreases idea diversity in brainstorming 3
Is Relevancy Everything? A Deep-Learning Approach to Understand the Effect of Image-Text Congruence 4
Using an algorithmic approach to shape human decision-making through attraction to patterns 5
Bridging prediction and decision: advances and challenges in data-driven optimization 6
EconAgent: large language model-empowered agents for simulating macroeconomic activities 7
观点丨AI模拟社会，“幕后”的操控者究竟是谁？
对几项知名度很高的大语言模型模拟社会研究的批评。
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Guan, L., Merigó, J. M., & Beydoun, G. (2025). 40 years of decision support systems: A bibliometric analysis. Decision Support Systems, 114469. https://doi.org/10.1016/j.dss.2025.114469 ↩
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Zhao, X., Dai, H., Hu, T. “Eric,” Cheng, H. K., & Zhang, P. (2025). Unlocking big data success in the AI-driven era: Toward a unified theory for intelligent decision support. Decision Support Systems, 114468. https://doi.org/10.1016/j.dss.2025.114468 ↩
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Meincke, L., Nave, G., & Terwiesch, C. (2025). ChatGPT decreases idea diversity in brainstorming. Nature Human Behaviour, 1–3. https://doi.org/10.1038/s41562-025-02173-x ↩
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Cao, J., Li, X., & Zhang, L. (2025). Is Relevancy Everything? A Deep-Learning Approach to Understand the Effect of Image-Text Congruence. Management Science. https://doi.org/10.1287/mnsc.2022.01896 ↩
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Shani-Narkiss, H., Eitam, B., & Amsalem, O. (2025). Using an algorithmic approach to shape human decision-making through attraction to patterns. Nature Communications, 16(1). https://doi.org/10.1038/s41467-025-59131-4 ↩
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Wang, Y., Wang, J., Zhang, H., & Song, J. (2025). Bridging prediction and decision: Advances and challenges in data-driven optimization. Nexus, 2(1), 100057. https://doi.org/10.1016/j.ynexs.2025.100057 ↩
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Li, N., Gao, C., Li, M., Li, Y., & Liao, Q. (2024). EconAgent: Large language model-empowered agents for simulating macroeconomic activities. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 15523–15536. https://doi.org/10.18653/v1/2024.acl-long.829 ↩