AdapToPASS is a bio-inspired spherical transformer that adaptively models contextual and geometric ambiguities to achieve robust panoramic semantic segmentation, outperforming state-of-the-art methods by up to 18.77% relative mIoU under unseen spherical transformations.
Flexible Context Parallelism adaptively reconfigures communication groups to eliminate load imbalance and redundant communication, achieving up to 1.46x training speedup over Megatron-LM and DeepSpeed.
GenEvolve is a self-evolving image-generation agent that uses tool-orchestrated visual experience distillation to improve tool use and achieve state-of-the-art results.