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College of Computing
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PoT prompting not only boosts model performance on financial reasoning tasks but also bridges the gap between open- and closed-source systems.
Multimodal models can't reliably judge financial chart quality in IPO filings, diverging significantly from human experts and revealing a gap in real-world reasoning.
