FIRE tests LLMs on real finance work

FIRE matters because domain benchmarks are only useful when they test the messy work people actually do, not just multiple-choice memory. This one pushes financial LLM evaluation closer to deployment reality, though its most sensitive real-world scenario data is still only partially open.

• –The benchmark spans both closed-form exam questions and open-ended business tasks, which gives a better read on whether a model can reason, explain, and make defensible decisions
• –The paper positions FIRE as a coverage upgrade over finance benchmarks that lean too heavily on static knowledge recall
• –Results show strong frontier-model performance but also clear headroom on real business scenarios, which is the more important signal for enterprise adoption
• –The GitHub repo is useful for researchers because it ships evaluation code and public benchmark assets instead of stopping at a paper-only release
• –The private handling of some real scenario data is understandable for compliance reasons, but it also limits full reproducibility for the most interesting part of the benchmark