In a small evaluation with PwC data, Llama-2-70b beats GPT models at the 'no compliance' class for IFRS reports, but the result is based on a single selected prompt and a 100-item sample, and the data/code are not released.
Towards automatic numerical cross-checking: Extracting formulas from text,
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Towards Automated Regulatory Compliance Verification in Financial Auditing with Large Language Models
In a small evaluation with PwC data, Llama-2-70b beats GPT models at the 'no compliance' class for IFRS reports, but the result is based on a single selected prompt and a 100-item sample, and the data/code are not released.