arXiv Artificial Intelligence

FinReportBench: Measuring and Improving Institution-Grade Financial Report Generation

FinReportBench: Measuring and Improving Institution-Grade Financial Report Generation

Quick summary

arXiv:2608.04374v1 Announce Type: cross Abstract: Large language models can produce fluent financial analysis, but fluency alone does not establish whether a report is suitable for institutional delivery. We introduce FinReportBench, an expert-grounded benchmark for measuring and improving institution-grade financial report generation. Expert review reveals recurring gaps in report identity, institutional components, source discipline, and visual delivery. We derive a 35-item rubric through expert partial orders, multimodal evidence, and audits of decision boundaries, covering deliverability,

Key takeaways

  • arXiv:2608.04374v1 Announce Type: cross Abstract: Large language models can produce fluent financial analysis, but fluency alone does not establish whether a report is suitable for institutional delivery.
  • We introduce FinReportBench, an expert-grounded benchmark for measuring and improving institution-grade financial report generation.
  • Expert review reveals recurring gaps in report identity, institutional components, source discipline, and visual delivery.

Why it matters

The value of this work lies as much in how it was tested as in the claim itself. Sample design, baselines, uncertainty and replication help separate a laboratory result from real-world impact.

Kaynak sitede devamını oku: arXiv Artificial Intelligence ↗