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Evidence-Supported Credit Risk Report Generation Using News-Centric Financial Knowledge Graphs

A framework for automatically constructing knowledge graphs from news events and company data to generate credit risk reports.

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Evidence-Supported Credit Risk Report Generation Using News-Centric Financial Knowledge Graphs

By Rocio Jimenez-Villen, Ziwei Xu, Ying Chen, Oscar Araque, Ryutaro IchisearXiv
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The authors present FinKG-News, a framework that extracts news events as anchors linked to companies in financial knowledge graphs. This approach is used to develop an in-context learning architecture for credit risk report generation across three core financial dimensions.

The results show improved quality and reduced hallucinations compared to baselines.

Abstract

The authors present FinKG-News, a framework that extracts news events as anchors linked to companies in financial knowledge graphs. This approach is used to develop an in-context learning architecture for credit risk report generation across three core financial dimensions. The results show improved quality and reduced hallucinations compared to baselines.

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financial knowledge graphsnews-centric data integrationcredit risk report generationin-context learning architecturehallucination detectionKnowledge GraphsStructured ContentContent EngineeringAI Agents
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