What are the benchmark performance scores of SALMONN-7B on reasoning mathematics coding and language understan

Abstract

Abstract: Vision language models (VLMs) achieve unified modeling of images and text, enabling them to accomplish complex real-world tasks through perception, planning, and reasoning. Among these tasks, reasoning is particularly representative, with mathematical reasoning serving as a prominent example. It highlights the high-level capability of VLMs to comprehend mathematical information in images and to perform sophisticated reasoning. Recently, numerous visual mathematical reasoning benchmarks have been proposed, but they are often restricted to geometry, lack coverage of math word problems, and rarel

Research Question

What are the benchmark performance scores of SALMONN-7B on reasoning mathematics coding and language understanding tasks

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