Tag: AI
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Digital Financial Reporting and AI
The question ‘Is Automatic XBRL Tagging Feasible Using AI and LLM systems’ is now common at XBRL conferences. Research suggests LLM systems achieve 79% accuracy when reading annual reports. However, XII research shows that using semantic tags from XBRL reports produces better results and the data provides significant benefits to deeper analysis. Reversing the process,…
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What links Datapoints, Label Encoding, XBRL, and AI?
The notion that abstract encoding is bad for Large Language Models (LLMs), leads to the assumption that it must be unhelpful for human understanding. Generating encoded labels for various IT applications is essential, however it introduces special challenges for how XBRL collection systems operate. Evaluating the impact of the abstract encoding on the 27 European…