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FinEvo-Bench: A Longitudinal Benchmark for Self-Evolving Agents in Professional Financial Workflows· FinEvo-Bench: 金融工作流程自进化代理基准

Most agent benchmarks evaluate tasks independently and cannot measure whether experience from one task helps with later tasks. Existing self-evolution benchmarks do not jointly cover professional workflows, open-ended deliverables, and multi-aspect evaluation. We introduce FinEvo-Bench, a longitudinal benchmark with 120 real-case-grounded tasks, 20 business scenes across six financial domains. Institution-provided professional procedures define the required operations and constraints. Eligible institution-provided and publicly documented cases supply the task facts. Each scene contains six related but substantively distinct cases that share a professional procedure and a manually reviewed rubric for task quality and financial compliance. We compare four self-evolving agent scaffolds using

领域:cs.AI作者:Bo Deng、Kang Zhou、Lifan Guo
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