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Updated: Jan 8, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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评估大型语言模型的化学智能

Nicholas T Runcie1, Charlotte M Deane1, Fergus Imrie1

  • 1Department of Statistics, University of Oxford, Oxford OX1 3LB, U.K.

Journal of chemical information and modeling
|December 18, 2025
PubMed
概括

高级推理 大型语言模型 (LLM) 在化学任务中取得了显著进展,在新型ChemIQ基准上达到50-57%的准确性. 这些模型现在可以解释复杂的化学数据,反映人类化学家的推理.

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