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OrderMoE slashes average latency and cross-server traffic by intelligently grouping experts based on functional similarity, achieving efficient edge inference without sacrificing quality.
Treating geometry as a fundamental representational prerequisite, rather than a late-fusion auxiliary signal, significantly boosts spatio-temporal reasoning in vision-language models.
By explicitly verifying the visual existence of spoken references before segmentation, APRVOS substantially improves robustness in noisy audio-conditioned Ref-VOS, outperforming standard pipelines.
