Fine-Tuning LLMs for Historical Knowledge Graph Construction: A Hunan Case Study
Published:Nov 21, 2025 07:30
•1 min read
•ArXiv
Analysis
This research explores a practical application of supervised fine-tuning large language models (LLMs) for a specific domain. The focus on constructing a knowledge graph of Hunan's historical celebrities provides a concrete use case and methodological insights.
Key Takeaways
- •Demonstrates the use of fine-tuning LLMs for domain-specific knowledge extraction and graph construction.
- •Provides a case study focused on historical celebrities in Hunan, China.
- •Potentially applicable to other domains and regions for building knowledge graphs.
Reference
“The study focuses on supervised fine-tuning of large language models for domain specific knowledge graph construction.”