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FinRiskAtlas: Decision-Aligned Evaluation of Large Language Models for Financial Risk Review

arXiv · AI, language, vision and robotics · article · Aug 26, 2026 · UTC

Deploying large language models for professional financial review requires more than measuring general financial competence: models must perform the specific review operation required by a workflow and determine whether available evidence is sufficient for a defensible decision. Existing financial benchmarks cover knowledge, reasoning, compliance, and professional tasks, but their evaluation units are often organized around datasets or task formulations rather than the decisions that deployed systems support. We introduce FinRiskAtlas, a Chinese-language benchmark that evaluates financial LLMs

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