AutoSurrogate: An LLM-Driven Multi-Agent Framework for Autonomous Construction of Deep Learning Surrogate Models in Subsurface Flow

Documenti analoghi

• AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML
  di: Trirat, Patara, et al.
  Pubblicazione: (2024)
• EngiAI: A Multi-Agent Framework and Benchmark Suite for LLM-Driven Engineering Design
  di: Molinari, Gioele, et al.
  Pubblicazione: (2026)
• Language-Driven Coordination and Learning in Multi-Agent Simulation Environments
  di: Li, Zhengyang, et al.
  Pubblicazione: (2025)
• Large Language Model-Based Reward Design for Deep Reinforcement Learning-Driven Autonomous Cyber Defense
  di: Mukherjee, Sayak, et al.
  Pubblicazione: (2025)
• Learning Progress Driven Multi-Agent Curriculum
  di: Zhao, Wenshuai, et al.
  Pubblicazione: (2022)