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Wayne Luk

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#machine learning Preprint Sep 2026

HM-ROUTER: Joint Model and Harness Routing for Agentic Systems

HM-Router is introduced, a routing method that jointly selects a model and harness for each query, with an interaction term inspired by canonical polyadic tensor decomposition to capture how their compatibility varies with the query.

H. Chen, Royson Lee, Yasuyuki Okoshi et al. · 0 citations
Preprint Aug 2026

When Does Disaggregation Pay? Simulating Prefill--Decode--Attention--FFN Specialization for Agentic LLM Inference

Agentic inference now dominates the LLM inference landscape, requiring LLMs to actively engage in multi-turn interactions with tool-calling capabilities. This introduces a more complex workload for the underlying inference system: serving stages such as prefill and decode exhibit substantially different behaviors and d...

Przemyslaw Forys, Haoran Wu, Can Xiao et al. · 0 citations
Preprint Aug 2026

AOSpec: Action and Observation Co-Speculation for Low-Latency Agent Serving

This work presents AOSpec, a lossless framework that co-speculates actions and observations across the full agent-environment loop, and outperforms every practical baseline, reducing mean end-to-end latency by 11.8-32.5% and p99 latency by up to 42.8%.

H. Chen, Jin-Nan Guo, Wayne Luk et al. · 0 citations

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