AVSG reduces time per output token by 39% and increases output throughput by 1.27x relative to the same KV offload layout without HBM-buffer reuse, demonstrating the benefit of efficient matching, balanced transfer, and effective HBM residency in production-scale serving.
Wen-Wei Kuang, Xiang-Yu Wang, Chong Wu et al.· 0 citations
This study establishes pathoentity shuffling as an effective principle for pathological image analysis, bridging biological insight and computational design to enhance diagnostic modeling and morphological hierarchy learning.
Zeyu Liu, Tianyi Zhang, Brian K. Chen et al.· npj Biomedical Innovations· 0 citations
Overall, same-model draft-and-refine provides evidence that bidirectional refinement is a useful decoding primitive for DLMs, while speculative correction demonstrates a training-free route to fast DLM generation.
Brian K. Chen, Chongwu Wu, Kenji Kawaguchi· 0 citations
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