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Remington R. Liu

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Jun 2026

TAILOR: Token-Aware Partitioning and Routing for Edge–Cloud Transformer Inference

TAILOR is presented, a token-aware inference framework that jointly optimizes offline partitioning and online routing for autoregressive transformer serving that reduces end-to-end latency and lowers OOM-induced fallback compared with static partitioning baselines, demonstrating robust inference under long-tailed token workloads.

Xiaoyao Huang, Remington R. Liu, Jie Wu · 0 citations