Released the FinAutoRubric financial research agent evaluation method and accompanying benchmark.
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The paper author team released a preprint on arXiv, proposing FinAutoRubric, an automatic scoring rule generation framework for financial research agents, along with a supporting 100-query benchmark dataset. This framework has experts specify reusable evaluation guidelines, while agents and code automatically complete the generation, review, and verification of exclusive scoring rules. Cases that fail verification will be escalated for manual processing.
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- arXiv q-finFinAutoRubric: An Expert-Guided Automatic Scoring Rubric Generation Framework for Financial Research Agents
This is a preprint paper published on arXiv, proposing the FinAutoRubric framework, which allows experts to specify reusable evaluation guidelines, and agents and code complete the generation, review, and verification of query-specific scoring rubrics, with failed cases escalated to manual processing.
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