FinReflectKG -- EvalBench: Benchmarking Financial KG with Multi-Dimensional Evaluation
#FinReflectKG #EvalBench #financial knowledge graph #benchmarking #multi-dimensional evaluation
π Key Takeaways
- FinReflectKG -- EvalBench introduces a new benchmark for evaluating financial knowledge graphs.
- The benchmark employs a multi-dimensional evaluation approach to assess KG quality.
- It aims to address gaps in existing financial KG assessment methods.
- The tool is designed to improve reliability and utility in financial applications.
π Full Retelling
arXiv:2510.05710v2 Announce Type: replace-cross
Abstract: Large language models (LLMs) are increasingly being used to extract structured knowledge from unstructured financial text. Although prior studies have explored various extraction methods, there is no universal benchmark or unified evaluation framework for the construction of financial knowledge graphs (KG). We introduce FinReflectKG - EvalBench, a benchmark and evaluation framework for KG extraction from SEC 10-K filings. Building on the
π·οΈ Themes
Financial Technology, Knowledge Graphs
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Original Source
arXiv:2510.05710v2 Announce Type: replace-cross
Abstract: Large language models (LLMs) are increasingly being used to extract structured knowledge from unstructured financial text. Although prior studies have explored various extraction methods, there is no universal benchmark or unified evaluation framework for the construction of financial knowledge graphs (KG). We introduce FinReflectKG - EvalBench, a benchmark and evaluation framework for KG extraction from SEC 10-K filings. Building on the
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