PhysicsArena: The First Multimodal Physics Reasoning Benchmark Exploring Variable, Process, and Solution Dimensions
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arXiv
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| Format: | Preprint |
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2025
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| _version_ | 1866908373974253568 |
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| author | Dai, Song Yan, Yibo Su, Jiamin Zihao, Dongfang Gao, Yubo Hei, Yonghua Li, Jungang Zhang, Junyan Tao, Sicheng Gao, Zhuoran Hu, Xuming |
| author_facet | Dai, Song Yan, Yibo Su, Jiamin Zihao, Dongfang Gao, Yubo Hei, Yonghua Li, Jungang Zhang, Junyan Tao, Sicheng Gao, Zhuoran Hu, Xuming |
| contents | Multimodal Large Language Models (MLLMs) have demonstrated remarkable capabilities in diverse reasoning tasks, yet their application to complex physics reasoning remains underexplored. Physics reasoning presents unique challenges, requiring grounding in physical conditions and the interpretation of multimodal information. Current physics benchmarks are limited, often focusing on text-only inputs or solely on problem-solving, thereby overlooking the critical intermediate steps of variable identification and process formulation. To address these limitations, we introduce PhysicsArena, the first multimodal physics reasoning benchmark designed to holistically evaluate MLLMs across three critical dimensions: variable identification, physical process formulation, and solution derivation. PhysicsArena aims to provide a comprehensive platform for assessing and advancing the multimodal physics reasoning abilities of MLLMs. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_15472 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | PhysicsArena: The First Multimodal Physics Reasoning Benchmark Exploring Variable, Process, and Solution Dimensions Dai, Song Yan, Yibo Su, Jiamin Zihao, Dongfang Gao, Yubo Hei, Yonghua Li, Jungang Zhang, Junyan Tao, Sicheng Gao, Zhuoran Hu, Xuming Computation and Language I.2.7; I.2.10 Multimodal Large Language Models (MLLMs) have demonstrated remarkable capabilities in diverse reasoning tasks, yet their application to complex physics reasoning remains underexplored. Physics reasoning presents unique challenges, requiring grounding in physical conditions and the interpretation of multimodal information. Current physics benchmarks are limited, often focusing on text-only inputs or solely on problem-solving, thereby overlooking the critical intermediate steps of variable identification and process formulation. To address these limitations, we introduce PhysicsArena, the first multimodal physics reasoning benchmark designed to holistically evaluate MLLMs across three critical dimensions: variable identification, physical process formulation, and solution derivation. PhysicsArena aims to provide a comprehensive platform for assessing and advancing the multimodal physics reasoning abilities of MLLMs. |
| title | PhysicsArena: The First Multimodal Physics Reasoning Benchmark Exploring Variable, Process, and Solution Dimensions |
| topic | Computation and Language I.2.7; I.2.10 |
| url | https://arxiv.org/abs/2505.15472 |