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Efficient use of large language models (LLMs) is critical for deployment at scale: without adaptive routing, systems either overpay for strong models or risk poor performance from weaker ones.
Neural contextual bandits with ucb-based exploration, 2020
Dongruo Zhou, Lihong Li, and Quanquan Gu · 1911
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Routerbench: A benchmark for multi-llm routing system, 2024
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Text embeddings by weakly-supervised contrastive pre-training
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Graphrouter: A graph-based router for llm selections, 2025
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