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Attention-level generalization in Pelican-VLA 0.5 allows it to focus on relevant objects without any task-specific training, outperforming traditional models in unseen scenarios.
VLA models may excel at visually grounded tasks, but VLA-Trace reveals they still struggle with fine-grained semantic understanding and exhibit distinct modality processing strategies.
