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FinEvolveKG: Controlled and Attributable Prompt Evolution for Financial Knowledge Graph Construction
Not provided in the abstract
knowledge graphsprompt optimizationfinancial analysismachine learning
2611.08643
Builder Relevance
16h ago80%
Abstract
The paper presents FinEvolveKG, a method for constructing financial knowledge graphs that balances general quality with persona-specific needs while maintaining stability in shared rules.
Reality Card
Core Claim
FinEvolveKG improves knowledge graph construction by 19.4-30.9% over a frozen prompt baseline and outperforms an unconstrained prompt workflow in various evaluations.
Method / Result
The complete two-stage block-constrained workflow (v4) shows a 19.4-30.9% improvement over the frozen prompt baseline (v1).
Limitations
The specific author names and detailed methodology are not provided in the abstract, which may hinder reproducibility.
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