Author

Yue Yang

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#artificial intelligence Preprint Sep 2026

You Cannot Pick a Provider From the Price List: Market-Aware Routing for Open-Weight LLM Inference

Existing LLM routers choose among models using static per-model costs. We show that open-weight inference markets introduce a second, largely ignored decision axis: after choosing a model, a client must still choose which provider serves it. Measuring live endpoints across [nummodels] open models, competing providers,...

Liang He, Jing Wen, Yi-Xiong Chen et al. · 0 citations

#machine learning Preprint Sep 2026

Does Execution Require Target KV Fidelity? A Mixed-Fidelity KV Runtime for LLM Serving

This work presents ElasticKV, a mixed-fidelity KV runtime built on the observation that target fidelity need not gate execution, and demonstrates the effectiveness and generality of ElasticKV across diverse workloads, model families and scales, and GPU platforms.

Jiantong Jiang, Yue Yang, Pei-Yu Yang et al. · 0 citations