Towards Fair and Comprehensive Evaluation of Routers in Collaborative LLM Systems | ScienceToStartup | ScienceToStartup

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References (29)

[1]

Efficient Routing of Inference Requests across LLM Instances in Cloud-Edge Computing

2025Shibo Yu, Mohammad Goudarzi et al.

[2]

FusionFactory: Fusing LLM Capabilities with Multi-LLM Log Data

2025Tao Feng, Haozhen Zhang et al.

[3]

BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute

Founder's Pitch

"RouterXBench provides a robust evaluation framework for local and cloud-based LLM systems, enhancing router performance with the new ProbeDirichlet method."

LLM Evaluation•Score: 4•View PDF ↗

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Towards Fair and Comprehensive Evaluation of Routers in Collaborative LLM Systems

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Founder's Pitch

"RouterXBench provides a robust evaluation framework for local and cloud-based LLM systems, enhancing router performance with the new ProbeDirichlet method."

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Towards Fair and Comprehensive Evaluation of Routers in Collaborative LLM Systems

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References (29)

Founder's Pitch

"RouterXBench provides a robust evaluation framework for local and cloud-based LLM systems, enhancing router performance with the new ProbeDirichlet method."

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