When Does Combining Language Models Help? A Co-Failure Ceiling on Routing, Voting, and Mixture-of-Agents Across 67 Frontier Models
Paper LLMs & Texto

When Does Combining Language Models Help? A Co-Failure Ceiling on Routing, Voting, and Mixture-of-Agents Across 67 Frontier Models

Multi-model systems face fundamental accuracy limits determined by the rate at which all models fail simultaneously, regardless of their individual correlations or ensemble strateg…

Hugging Face · Daily Papers ·Josef Chen · ·▲ 3 upvotes

Este artigo está em destaque na seleção diária de papers do Hugging Face, curada pela comunidade de pesquisa em IA.

Autores: Josef Chen

  • 3 upvotes da comunidade
  • Temas: multi-model LLM systems, routing, voting, cascades, fusion, mixture-of-agents

Resumo

Resumo original (em inglês), extraído do paper:

Multi-model systems face fundamental accuracy limits determined by the rate at which all models fail simultaneously, regardless of their individual correlations or ensemble strategies.

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