zjunlp/AutoKG
[WWWJ 2024] LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities
Implements a three-component evaluation framework for LLM-based knowledge graph tasks: zero/one-shot performance benchmarking across entity/relation extraction and event detection (DuIE2.0, SciERC, RE-TACRED, MAVEN), link prediction on reasoning datasets (FB15k-237, ATOMIC2020), and a VINE dataset for assessing virtual knowledge capabilities. The AutoKG system employs multi-agent orchestration built on CAMEL and LangChain, integrating OpenAI APIs and SerpAPI for collaborative KG construction and reasoning tasks.
465 stars. No commits in the last 6 months.
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465
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41
Language
Python
License
MIT
Category
Last pushed
Jan 14, 2025
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