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cs.AI2026
FeynmanBench: Benchmarking Multimodal LLMs on Diagrammatic Physics Reasoning
Zeyu Wang, Jingye Xu, Xiaogang Li +7
Current multimodal benchmarks for scientific reasoning primarily evaluate local information extraction -- models recognize symbols and values and then perform textual inference. Th…
cs.AI2026
BilliardPhys-Bench: Benchmarking Physical Reasoning and Visual Dynamics of Multimodal LLMs
Ben Wang, Xiaogang Li, Ruochen Gao +6
Current multimodal models handle static image recognition well, but intuitive physical reasoning remains a weakness. Predicting how objects will move and interact from a single ima…
cs.AI2026
CrystalXRD-Bench: Benchmarking Vision-Language Models for XRD Peak Indexing Across Diverse Crystalline Materials
Chengliang Xu, Xiaogang Li, Peiyao Xiao +3
Miller-index identification from powder XRD patterns requires capabilities untested by existing multimodal benchmarks: the model must read a narrow peak location from a rendered sc…