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Yuqi Zhu
2023-04-29 15:09:45 +08:00
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@@ -8,7 +8,7 @@ Code and Data for the paper "[ChatGPT/GPT-4 for Knowledge Graph Construction and
## 🌄Overview
<div align=center><img src="figs/overview.png" alt="Overview" width="600px" /></div>
<div align=center><img src="figs/overview.png" alt="Overview" width="800px" /></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) ***AutoKG***: the proposal of utilizing multiple agents to facilitate the construction and reasoning of knowledge graphs.