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新基准评估人工智能代理在复杂科学工作流中的表现

推出了两个新基准 CompMat-Bench 和 MatToolBench,用于评估人工智能代理在计算材料科学中的能力。CompMat-Bench 侧重于代理通过准备模拟的输入和分析输出来完成科学目标的步骤,代理在单一任务上表现出中等成功率,但在更长的工作流或减少指导的情况下遇到困难。另一方面,MatToolBench 在专业科学软件上测试多模态代理,包括 GUI 操作和脚本编写,揭示了通用基准性能与真实科学工作流之间存在显著差距,即使是顶级模型也只达到较低的成功率。 AI

影响 这些基准突显了人工智能代理在专业科学软件和工作流中面临的挑战,表明需要进行领域特定的培训和评估。

排序理由 两篇不同的研究论文介绍了用于评估人工智能代理在科学领域表现的新基准。

在 arXiv cs.AI 阅读 →

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新基准评估人工智能代理在复杂科学工作流中的表现

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两篇不同的研究论文介绍了用于评估人工智能代理在科学领域表现的新基准。
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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Chenmu Zhang, Levi Felix, Jun-Jie Zhang, Xingfu Li, Xuelian Jiang, Tao Jiang, Subhendu Mishra, Xixi Qin, Boris Yakobson ·

    CompMat-Bench:为计算材料科学的 AI 代理进行基准测试

    arXiv:2610.00636v1 Announce Type: new Abstract: Evaluating AI agents on scientific research tasks is constrained by the time and resources required for the underlying experiments or calculations. In computational materials research, repeating the same expensive simulations across…

  2. arXiv cs.AI TIER_1 English(EN) · Mei Wu, Rui Xie, Runyu Zhang, Yuqiang Li, Tianfan Fu, Bo Chen, Kai Yu, Xin Chen, Lu Chen ·

    MatToolBench:在真实世界材料科学工作流中对多模态代理进行基准测试

    arXiv:2609.37053v1 Announce Type: new Abstract: Multimodal GUI agents have achieved impressive results on general software benchmarks, yet their ability to operate professional scientific software remains largely unexplored. In materials science, sparse domain-specific web data, …