AuditFlow combines a graph-grounded symbolic environment with a multi-agent LLM setup to reach 82.09% joint audit accuracy on structured financial reports, 14.93 points above the strongest baseline.
arXiv preprint arXiv:2508.09893 , year=
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Knowledge graphs constructed from AI policies improve LLM performance on 42 policy QA tasks, with an LLM-discovered schema matching or exceeding a formal ontology.
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AUDITFLOW: Executable Symbolic Environments for Structured Financial Reporting Verification
AuditFlow combines a graph-grounded symbolic environment with a multi-agent LLM setup to reach 82.09% joint audit accuracy on structured financial reports, 14.93 points above the strongest baseline.
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Knowledge Graph Representations for LLM-Based Policy Compliance Reasoning
Knowledge graphs constructed from AI policies improve LLM performance on 42 policy QA tasks, with an LLM-discovered schema matching or exceeding a formal ontology.