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与LLM增强的实体对齐:一个无监督和无培训的框架.

Meixiu Long1, Jiahai Wang1, Junxiao Ma1

  • 1School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, 510006, China.

Neural networks : the official journal of the International Neural Network Society
|October 1, 2025
PubMed
概括

本研究介绍了LEA,一个LLM增强的实体对齐 (EA) 框架,消除了对标记数据的需求. 通过丰富实体表示和减轻数据异质性,LEA显著提高了EA的性能和可扩展性.

关键词:
实体对齐 实体对齐 实体对齐信息整合信息整合大型语言模型 (LLM)培训没有免费的培训.无监督方法 无监督方法

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