Dynamic sparse attention reduces long-context attention computation by selecting only a subset of tokens, but still requires access to the full KV cache, leaving serving memory-bound. Offloading the KV cache to host memory reduces device memory pressure but places H2D transfers on the decoding critical path. In DSA, su...
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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