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论文精选 65arXiv

WorldSolver: Can LLM Agents Simulate the Physical Dynamics via Solver Generation?· WorldSolver:LLM代理能否通过生成求解器模拟物理动态?

LLM-based agents are increasingly advancing scientific and engineering problem solving, with physics simulation emerging as a challenging yet practical testbed for reproducing complex physical phenomena with application in embodied AI, games and films. As the workhorse of such simulation, a solver computes how the state of a dynamic system evolves over time. Building such solvers requires physical understanding to identify appropriate models, mathematical reasoning to formulate the underlying dynamics, and software engineering to implement them as executable code, yet this capability of LLM agents remains underexplored. To this end, we introduce WorldSolver, a benchmark of 168 simulation tasks derived from physical phenomena in 61 classic computer graphics papers, spanning 7 physical domai

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LLM代理能否通过生成求解器来模拟物理动态?

核心方法
通过WorldSolver基准测试,评估和提高LLM代理在物理模拟任务中的求解器生成能力。
适合谁读
研究者 / 工程师
要解决的问题
现有LLM代理在生成物理求解器以模拟动态系统方面的能力不足。
关键实验
未提供
主要贡献
提出了WorldSolver,一个包含168个物理模拟任务的基准测试集,涉及7个物理领域。
意义与局限
促进LLM代理在科学、工程和娱乐等领域的物理模拟应用,提高其解决复杂物理问题的能力。
领域:cs.AI作者:Siru Jiang、Yongzhe Lyu、Shuo Lu
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Control evaluations measure whether safeguards can prevent an AI model from causing undesi…

领域:cs.AI作者:Jeffrey Olmo、David Zhang、Tyler Tracy
📎 arXiv🕒 10-23 01:26🔗 arxiv.org

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