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LLMs can achieve more consistent and reliable cross-jurisdictional financial reporting by acting as constrained verifiers within a structured, agentic workflow, rather than as free-form generators.
LLMs' uncertainty estimates are highly sensitive to the design of the confidence scale, with a 0-20 scale boosting metacognitive efficiency compared to the standard 0-100.
