Diffusion-based multimodal large language models (dMLLMs) decode by iterative denoising with bidirectional attention, which precludes the standard autoregressive key--value cache. Practical deployments therefore rely on approximate caching that reuses intermediate states across denoising steps. Such caching, however, o...
Qi-Yan Zhao, Xiao-Feng Zhang, Xu-Yao Zhang et al.· 0 citations
Background Physician documentation requirements are a known contributor to clinician burnout, with the manual creation of brief hospital course (BHC) summaries being particularly time-consuming. Automating BHC summarization may mitigate this workload and reduce documentation errors. However, current natural language pr...
Xiao-Yuan Gao, Yang Wang, Zi-Xing Wang et al.· Journal of Medical Internet...· 0 citations
Systematic skill-bank audits reveal two recurring reliability failures: coalition pollution, where bank-level gains conceal negative coalition-level skill contributions, and cross-domain utility reversal, where source-beneficial skills reverse their effects after transfer.
Qiyan Zhao, Xiao-Feng Zhang, Bo Liu et al.· 0 citations
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