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arXiv · 2312.03022

Beyond Isolation: Multi-Agent Synergy for Improving Knowledge Graph Construction

Hongbin Ye·Honghao Gui·Aijia Zhang·Tong Liu·Weiqiang Jia
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Abstract

This paper introduces CooperKGC, a novel framework challenging the conventional solitary approach of large language models (LLMs) in knowledge graph construction (KGC). CooperKGC establishes a collaborative processing network, assembling a team capable of concurrently addressing entity, relation, and event extraction tasks. Experimentation demonstrates that fostering collaboration within CooperKGC enhances knowledge selection, correction, and aggregation capabilities across multiple rounds of interactions.

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Hongbin Ye, Honghao Gui, Aijia Zhang, Tong Liu, Weiqiang Jia. 2023-12-05. Beyond Isolation: Multi-Agent Synergy for Improving Knowledge Graph Construction. https://arxiv.org/abs/2312.03022

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