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What is Automatic Prompt Optimization for KGs about?

This document presents an empirical study on automatic prompt optimization for knowledge graph (KG) construction, specifically focusing on the triple extraction task. It evaluates various factors affecting prompt optimization, including different prompting strategies and large language models (LLMs), and demonstrates that automatic techniques can generate effective prompts similar to human-crafted ones. The study highlights the potential of these techniques to improve extraction results, particularly as sch

Author

muahangzbuy

Language

EN