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We propose LogicVista, an evaluation benchmark that assesses the integrated logical reasoning capabilities of multimodal large language models (MLLMs) in Visual contexts.
Early developments in logical reasoning: Considering alternative possibilities
Catherine Sophian and Susan C. Somerville · 1988
Earlier work this paper cites.
Logical reasoning necessary to make line graphs
Michael J. Wavering · 1989
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