Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset

arXiv:2402.14804v1 Announce Type: cross
Abstract: Recent advancements in Large Multimodal Models (LMMs) have shown promising results in mathematical reasoning within visual contexts, with models approaching human-level performance on existing benchmarks such as MathVista. However, we observe significant limitations in the diversity of questions and breadth of subjects covered by these benchmarks. To address this issue, we present the MATH-Vision (MATH-V) dataset, a meticulously curated collection of 3,040 high-quality mathematical problems with visual contexts sourced from real math competitions. Spanning 16 …

arxiv cs.ai cs.cl cs.cv cs.lg dataset math mathematical reasoning math.ho measuring multimodal reasoning type vision