Shapley-Guided AI Model Explains Financial Fraud Detection Under U.S. Regulat...

Runtime framework enables continuous LLM compliance monitoring for EU AI Act

HQ arXiv: AI + Accounting arXiv · 9d ago · 1 min read

Research proposes 'governance from metrics' approach treating LLM compliance as continuous runtime signal rather than binary audit verdict, addressing EU AI Act requirements for ongoing oversight a...

IndiaFinBench introduces first LLM benchmark for Indian financial regulatory ...

HQ arXiv: AI + Accounting arXiv · 1mo ago · 1 min read

Researchers release IndiaFinBench, a 406-question evaluation dataset for testing LLM performance on Indian financial regulatory compliance and filings—addressing gap in non-Western financial NLP be...

De Jure: LLM System Automates Extraction of Machine-Readable Regulatory Rules

HQ arXiv: AI + Accounting arXiv · 2mo ago · 1 min read

De Jure pipeline uses iterative LLM self-refinement to automatically convert dense regulatory documents into structured, machine-readable rules—eliminating manual expert annotation in compliance wo...

Framework optimizes LLM guardrails for evidence documents in dispute workflows

HQ arXiv: AI + Accounting arXiv · yesterday · 1 min read

Production study demonstrates HOPM framework for auditable, evidence-grounded document generation in marketplace disputes—bridging AI reliability with accounting/compliance audit trails.

Researchers expose LLM token billing auditing gaps as providers hide pricing ...

HQ arXiv: AI + Accounting arXiv · 4d ago · 1 min read

Academic research reveals that per-token LLM billing lacks auditability safeguards, enabling dishonest providers to overcharge—a critical issue for accounting firms using AI tools at scale.