Large-scale Generative Simulation Artificial Intelligence: the Next Hotspot in Generative AI
Not on the map. Why?
Abstract (arXiv)
The concept of GenAI has been developed for decades. Until recently, it has impressed us with substantial breakthroughs in natural language processing and computer vision, actively engaging in industrial scenarios. Noticing the practical challenges, e.g., limited learning resources, and overly dependencies on scientific discovery empiricism, we nominate large-scale generative simulation artificial intelligence (LS-GenAI) as the next hotspot for GenAI to connect.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 1 of its 6 references that are in the map. First posted on arXiv 3 Aug 2023.
Builds on
1 of 6 references.
References · 1
- 2021Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gaugescited by 1,167
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Citing papers per year: 2023: 1; 2024: 3; 2025: 1.
5 papers.
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- 2024Robust Fast Adaptation from Adversarially Explicit Task Distribution Generationcited by 13
- 2023A Simple Yet Effective Strategy to Robustify the Meta Learning Paradigmcited by 10
- 2024Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learningcited by 4
- 2024Group & Reweight: A Novel Cost-Sensitive Approach to Mitigating Class Imbalance in Network Traffic Classificationcited by 0
- 2025Model Predictive Task Sampling for Efficient and Robust Adaptation19 Jan 2025
- 2024Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning30 Oct 2024
- 2024Group & Reweight: A Novel Cost-Sensitive Approach to Mitigating Class Imbalance in Network Traffic Classification28 Sep 2024
- 2024Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation28 Jul 2024
- 2023A Simple Yet Effective Strategy to Robustify the Meta Learning Paradigm1 Oct 2023