Article

Dimension-Direct Routing: Achieving 25% Depth Improvement in Multi- Model LLM Systems via Explicit Capability Factorization

2026-04-07

Abstract excerpt

<title>Abstract</title> <p>Large Language Models (LLMs) exhibit distinct capabilities across different knowledge domains, yet single-model deployments struggle with knowledge-intensive tasks requiring cross-domain reasoning. We present eVoiceClaw Desktop, a multi-model orchestration system that operationalizes an \"AI managing AI\" paradigm: instead of humans manually selecting models, the system dynamically rout...

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Literature Corpus work: e07b1f84-4903-5c93-9648-e4d650cd4b10
DOI: 10.21203/rs.3.rs-9317311/v1

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