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Updated: Sep 13, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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log-RIM:通过局部到全球反应表示学习和交互建模预测收益率

Xiao Hu1, Ziqi Chen1, Daniel Adu-Ampratwum2

  • 1Computer Science and Engineering, The Ohio State University, Columbus, Ohio 43210, United States.

Journal of chemical information and modeling
|July 29, 2025
PubMed
概括

我们开发了log-RRIM,这是一种使用图形变压器来准确预测化学反应产量的AI框架. 该工具通过建模试剂相互作用和分子贡献来帮助优化有机合成,节省时间和资源.

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