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English(EN) RxnMiner: A Multimodal Agent for Structured Reaction Data Extraction from Chemistry Figures

新代理RxnMiner可自动从图表中提取化学反应数据

研究人员开发了RxnMiner,这是一种多模态代理,旨在从化学图表中提取结构化反应数据,这项任务以前需要大量手动工作。该系统集成了分子识别和证据关联,即使在间接指定的情况下也能重建反应记录。RxnMiner使用Qwen3.8 Flash-Next作为其骨干,在ChemRxn-Bench新基准测试中,其具有立体化学意识的反应宏F1分数从21.0%提高到71.0%。该基准测试包含603个反应图表和超过8,500条标注的反应记录,RxnMiner的表现显著优于现有的提取系统。 AI

影响 自动化从科学文献中提取复杂数据的过程,有望加速化学及相关领域的研究。

排序理由 该条目描述了一篇介绍特定科学领域新代理和新基准测试的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 Hugging Face Daily Papers 阅读 →

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新代理RxnMiner可自动从图表中提取化学反应数据

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该条目描述了一篇介绍特定科学领域新代理和新基准测试的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    RxnMiner: A Multimodal Agent for Structured Reaction Data Extraction from Chemistry Figures

    Reaction data underpin machine learning for reaction prediction, condition recommendation, and retrosynthetic planning, yet extracting these data from literature figures still requires substantial manual effort. Many figures encode multiple experiments through shared templates, s…