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cs.DC2025
From Models to Operators: Rethinking Autoscaling Granularity for Large Generative Models
Xingqi Cui, Chieh-Jan Mike Liang, Jiarong Xing +1
Serving large generative models such as LLMs and multi- modal transformers requires balancing user-facing SLOs (e.g., time-to-first-token, time-between-tokens) with provider goals…
cs.AI2025
MetaMuse: Algorithm Generation via Creative Ideation
Ruiying Ma, Chieh-Jan Mike Liang, Yanjie Gao +1
Designing system algorithms remains challenging, where the discontinuous nature of the solution space often forces system engineers to rely on generic heuristics at the expense of…