2026
RACER: Risk-Aware Calibrated Efficient Routing for Large Language Models
ICML 2026poster
Efficiently routing queries to the optimal large language model (LLM) is crucial for optimizing the cost-performance trade-off in multi-model systems. However, most existing routers rely on single-model selection, making them susceptible to misrouting. In this work, we formulate LLM routing as the $…