This work proposes FINDERS (FactorIzatioN of Diffusion statEs for Routing across Scenarios), a router-equipped dLLM framework comprising four operations: denoise, factorize, route, and compress that effectively pushes the boundaries of dLLMs beyond language generation, demonstrating their immense potential as powerful...
Jun-Ru Zhang, Jin-Yong Wen, Bin Dou et al.· 0 citations
BCE is presented, a GPU-co-designed, block-centric engine that makes range-top-k efficient by exposing a reusable intermediate representation of the data, and achieves sub-millisecond query latency and up to 308 × higher throughput than state-of-the-art GPU baselines, while performing billion-scale dynamic updates in m...
Chengying Huan, Ziheng Meng, Zhengyi Yang et al.· IEEE International Symposium...· 0 citations
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