✨MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model

📝 Summary:
MarS is a financial market simulation engine using LMM, an order-level generative model. It creates realistic, interactive market scenarios for risk-free strategy training and analysis. This offers scalability and strong realism.

🔹 Publication Date: Published on Sep 4, 2024

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2409.07486
• PDF: https://arxiv.org/pdf/2409.07486
• Github: https://github.com/microsoft/mars

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#FinancialMarkets #GenerativeAI #Simulation #LLM #FinTech

✨PAN: A World Model for General, Interactable, and Long-Horizon World Simulation

📝 Summary:
PAN is a general interactable world model that predicts future states through high-quality action-conditioned video simulation. It uses a GLP architecture combining LLM-based latent dynamics with a video diffusion decoder for detailed long-term coherent results enabling reasoning and acting.

🔹 Publication Date: Published on Nov 12

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.09057
• PDF: https://arxiv.org/pdf/2511.09057

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#WorldModels #AI #Simulation #GenerativeAI #Robotics

✨SimScale: Learning to Drive via Real-World Simulation at Scale

📝 Summary:
SimScale is a simulation framework synthesizing diverse driving scenarios from logs. Co-training with this data significantly improves autonomous driving robustness and generalization, scaling with simulation data even without new real-world input.

🔹 Publication Date: Published on Nov 28

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.23369
• PDF: https://arxiv.org/pdf/2511.23369
• Project Page: https://opendrivelab.com/SimScale
• Github: https://github.com/OpenDriveLab/SimScale

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#AutonomousDriving #Simulation #AI #MachineLearning #Robotics

✨SimWorld: An Open-ended Realistic Simulator for Autonomous Agents in Physical and Social Worlds

📝 Summary:
SimWorld is a new Unreal Engine 5 simulator for developing and evaluating LLM VLM agents in realistic, open-ended physical and social environments. It provides diverse scenarios and a rich interface, revealing distinct reasoning patterns and limitations across frontier LLM models.

🔹 Publication Date: Published on Nov 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.01078
• PDF: https://arxiv.org/pdf/2512.01078

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#AI #LLM #Simulation #AutonomousAgents #UnrealEngine5