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Route Anything: A Study of Model and Policy Routing for General-Purpose AI Systems

Published 7 November 2026

A study presents a framework for routing tasks among specialized AI models, tools, and policies based on quality and computational cost. Tests across 25 benchmarks show learned routing can improve performance, reduce policy time by 24%, and increase efficiency by 8.82 times compared with a reference model.

papers
Read the original on arxiv.org →

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