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English(EN) LeMat-Synth: a multi-modal toolbox to curate broad synthesis procedure databases from scientific literature

新工具箱从科学论文中提取材料合成数据

研究人员开发了 LeMat-Synth Parser,这是一个开源的多模态工具箱,旨在从科学文献中自动提取和结构化合成方案和性能指标。该工具箱利用大型语言模型 (LLM) 和视觉语言模型 (VLM) 来处理出版物中的文本和图表。该系统应用于 81,000 多篇出版物,整理出了 LeMat-Synth 数据集,其中包含 58,000 个合成程序,使其成为迄今为止最大的结构化无机材料合成数据集。 AI

影响 能够更有效、更全面地分析科学文献,可能加速材料科学研究。

排序理由 该集群描述了一篇关于用于科学文献分析的新工具箱和数据集的新研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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新工具箱从科学论文中提取材料合成数据

本文如何被排名

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30 / 100
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Tool
该集群描述了一篇关于用于科学文献分析的新工具箱和数据集的新研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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paper, infra
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Breaking (< 6h)
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Magdalena Lederbauer, Siddharth Betala, Valerie Gentzke, Anamaria Leonescu, Amine Sehaba, Faris Flaifil, Ayush Jain, Alfonso Amayuelas, Nikhil Yelamarthy, Xiyao Li, Gr\'egoire Germain, Stefano Ribes, Stefan P. Schmid, Alexandre Nozadze, Anna Kelmanson, S… ·

    LeMat-Synth:一个多模态工具箱,用于从科学文献中整理广泛的合成程序数据库

    arXiv:2510.26824v2 Announce Type: replace-cross Abstract: Wide access to advanced experimental methods in materials science has given rise to an abundance of procedural knowledge, which is scattered across decades of scientific literature and recorded in unstructured formats that…