Papers with multimodal math reasoning
MM-MATH: Advancing Multimodal Math Evaluation with Process Evaluation and Fine-grained Classification (2024.findings-emnlp)
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| Challenge: | Existing benchmarks for multimodal reasoning in large multimodal models are underperforming on multimodal tasks. |
| Approach: | They propose a benchmark for multimodal reasoning in large multimodal models, MM-MATH . MM's process evaluation employs LMM-as-a-judge to automatically analyze solution steps . diagram misinterpretation is the most common error, they find . |
| Outcome: | The proposed model achieves only 31% accuracy, compared to 82% for humans. |
Are Multimodal LLMs Robust Against Adversarial Perturbations? RoMMath: A Systematic Evaluation on Multimodal Math Reasoning (2025.naacl-long)
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| Challenge: | Recent-released MLLMs have shown remarkable performance on various multimodal math reasoning benchmarks. |
| Approach: | They introduce RoMMath, the first benchmark designed to evaluate the capabilities and robustness of multimodal large language models in handling multimodal math reasoning. |
| Outcome: | The proposed model performs well on a broad spectrum of 17 MLLMs and demonstrates that they are robust to adversarial perturbations. |