- Chen et al., “FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance” (2023) — arXiv:2305.05176
- Ong et al., “RouteLLM: Learning to Route LLMs with Preference Data” (2024) — arXiv:2406.18665; LMSYS blog
- “LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers” (2026) — arXiv:2608.06867
- Hu et al., “RouterBench: A Benchmark for Multi-LLM Routing System” (2024) — arXiv:2403.12031
- “LLMRouterBench” (2026) — arXiv:2601.07206
- Lu et al., “RouterArena: An Open Platform for Comprehensive Comparison of LLM Routers” (ICLR 2026) — arXiv:2510.00202
- “The Routing Plateau: Understanding and Breaking the Accuracy Limits of LLM Routers” (2026) — arXiv:2606.07587
- “Dynamic Model Routing and Cascading for Efficient LLM Inference: A Survey” (2026) — arXiv:2603.04445
- “Router-R1: Teaching LLMs Multi-Round Routing and Aggregation via Reinforcement Learning” (2025) — arXiv:2506.09033
- “GMTRouter” (2025) — arXiv:2511.08590
- Chen et al., “RouterDC: Query-Based Router by Dual Contrastive Learning for Assembling Large Language Models” (2024) — arXiv:2409.19886
- Madaan et al., “AutoMix: Automatically Mixing Language Models” (2023) — arXiv:2310.12963
- vLLM Blog, “Beyond a Single Model: Building Mixture-of-Models Systems with vLLM Semantic Router” (2026) — vllm.ai/blog
- Bhavsar, P., “Pratik’s Pakodas” newsletter — pakodas.substack.com/p/llm-routers