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DSpark shifts the performance landscape of LLM inference, achieving up to 85% faster generation speeds while maintaining high throughput.
C$^2$RM-Seg achieves state-of-the-art histopathological tissue segmentation by effectively aligning causal reasoning with structural semantics, overcoming the noise of traditional CAM methods.
MoE students can not only match but often surpass their dense teacher counterparts using a novel distillation framework that optimizes routing policies without explicit guidance.
