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@@ -202,8 +202,17 @@ Users of the DORI benchmark should:
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  ## Citation
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  **BibTeX:**
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-
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-
 
 
 
 
 
 
 
 
 
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  ## Glossary
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  - **Frontal Alignment**: The ability to perceive how an object's front-facing surface is oriented relative to the viewer
@@ -223,8 +232,8 @@ Performance patterns indicate that current models struggle most with precise ang
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  ## Dataset Card Authors
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- Anonymous Authors
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  ## Dataset Card Contact
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- For more information, please contact the authors
 
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  ## Citation
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  **BibTeX:**
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+ ```
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+ @misc{nichols2025rightupdisentanglingorientation,
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+ title={Right Side Up? Disentangling Orientation Understanding in MLLMs with Fine-grained Multi-axis Perception Tasks},
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+ author={Keanu Nichols and Nazia Tasnim and Yuting Yan and Nicholas Ikechukwu and Elva Zou and Deepti Ghadiyaram and Bryan A. Plummer},
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+ year={2025},
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+ eprint={2505.21649},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CV},
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+ url={https://arxiv.org/abs/2505.21649},
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+ }
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+ ```
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  ## Glossary
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  - **Frontal Alignment**: The ability to perceive how an object's front-facing surface is oriented relative to the viewer
 
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  ## Dataset Card Authors
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+ Keanu Nichols and Nazia Tasnim and Yuting Yan and Nicholas Ikechukwu and Elva Zou and Deepti Ghadiyaram and Bryan A. Plummer
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  ## Dataset Card Contact
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+ For more information, please contact: [email protected]