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

Hongbin Ye, Honghao Gui, Aijia Zhang, Tong Liu, Weiqiang Jia
12/5/2023
cs.AIcs.CLcs.LG

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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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Cite this paper

@article{ye2023beyond,
  title  = {Beyond Isolation: Multi-Agent Synergy for Improving Knowledge Graph Construction},
  author = {Hongbin Ye and Honghao Gui and Aijia Zhang and Tong Liu and Weiqiang Jia},
  year   = {2023},
  eprint = {2312.03022},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2312.03022v3}
}

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