Papers with symbolic computation
Can Vision-Language Models Solve Visual Math Equations? (2025.emnlp-main)
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| Challenge: | Vision-Language Models (VLMs) perform well on textual equations, but fail on visually grounded counterparts. |
| Approach: | They propose to decompose visual equation solving into symbolic equation solving and visual recognition into two core components to understand this gap. |
| Outcome: | The proposed models perform well on textual equations, but fail on visual grounded ones. |
EngiBench: A Benchmark for Evaluating Large Language Models on Engineering Problem Solving (2026.findings-acl)
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Xiyuan Zhou, Xinlei Wang, Yirui He, Ruixi Zou, Yang Wu, Yuheng Cheng, Yulu Xie, Wenxuan Liu, Huan Zhao, Yan Xu, Jinjin Gu, Junhua Zhao
| Challenge: | Existing benchmarks focus on well-defined or abstract reasoning and fail to capture real-world engineering problems. |
| Approach: | They propose a hierarchical benchmark to evaluate large language models on engineering problems. |
| Outcome: | The proposed model performs well under well-defined conditions and is based on three levels of difficulty and covers diverse engineering subfields. |