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Yuqi Zhu
2023-06-24 18:12:28 +08:00
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@@ -7,7 +7,7 @@ Code and Data for the paper "[LLMs for Knowledge Graph Construction and Reasonin
## 🌄Overview
<div align=center><img src="figs/overview_f.jpg" alt="Overview" width="700px" /></div>
<div align=center><img src="figs/overall_f.jpg" alt="Overview" width="700px" /></div>
The overview of our work. There are three main components: 1) ***Basic Evaluation***: detailing our assessment of large models (text-davinci-003, ChatGPT, and GPT-4), in both zero-shot and one-shot settings, using performance data from fully supervised state-of-the-art models as benchmarks; 2) ***Virtual Knowledge Extraction***: an examination of large models' virtual knowledge capabilities on the constructed VINE dataset; and 3) ***Automatic KG***: the proposal of utilizing multiple agents to facilitate the construction and reasoning of KGs.