About this paper
Route Anything is a framework for dynamically selecting and coordinating specialized AI models and policies across diverse tasks to improve performance and efficiency.
Artificial general intelligence (AGI) requires a method that can understand, generate, reason, and act across diverse domains and modalities. Rather than relying on a single model to master every capability, a promising path toward AGI now is to orchestrate a heterogeneous ecosystem of specialized models, tools, and policies (candidates) into a unified AI system. At the heart of this vision lies a fundamental question: how can an AI system dynamically select and coordinate the most capable candidate for each task while balancing performance and computational cost? In this work, we present Route Anything, a unified framework for studying model and policy routing across general-purpose AI…
model routingpolicy routingomni-modal trajectory matrixquality-cost trade-offslearned routerscapability orchestration
- Upvotes
- 22
- Authors
- 7
- Published
- Nov 3, 2026
Summary and abstract excerpt via Hugging Face Papers ↗ · arXiv.
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Route Anything: A Study of Model and Policy Routing for General-Purpose AI Systems was first seen on Hugging Face · Daily papers on Nov 4, 2026. Since then it has appeared in 12 checks on 2 different days. Its best position was #1 of 30, reached on Nov 4, 09:28 UTC. It dropped off the list after Nov 5, 05:28 UTC.