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GenRec proves that generative recommendation can beat existing pipelines in a large-scale industrial setting, achieving nearly 10% gains in key metrics by focusing on preference alignment and efficient sequence encoding.
By injecting symbolic reasoning into vision-language-action models, NS-VLA achieves remarkable gains in data efficiency and generalization for robotic manipulation.
