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cs.LG2026
World-as-Graph: Relational World Modeling Through Latent Space Graphs
Yaqi Yang, Shuo Huang, Yujin Huang +3
World models aim to learn representations of real-world environments and predict their future evolution. Recent object-centric world models have made expressive progress by represe…
cs.LG2025
DPL: Decoupled Prototype Learning for Enhancing Robustness of Vision-Language Transformers to Missing Modalities
Jueqing Lu, Yuanyuan Qi, Xiaohao Yang +8
The performance of Visio-Language Transformers drops sharply when an input modality (e.g., image) is missing, because the model is forced to make predictions using incomplete infor…