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Systems achieved up to 97.5% accuracy in multilingual financial question answering, revealing the potential for high-performance AI across diverse languages.
The top-performing systems in multilingual financial question answering are separated by less than one percentage point, showcasing the intense competition and subtlety in model performance.
Arabic LLMs can speak the language of finance, but they often fail to reason about it, especially when it comes to causality and generation.