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TangramPuzzle: Evaluating Multimodal Large Language Models with Compositional Spatial Reasoning

Liu, Daixian et al.
arXiv (All) · Papers
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computation-and-languagecomputer-vision-and-pattern-recognition
Multimodal Large Language Models (MLLMs) have achieved remarkable progress in visual recognition and semantic understanding, yet precise compositional spatial reasoning under geometric constraints remains underexplored. Existing benchmarks mainly assess coarse spatial relations and rarely support ri
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