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Inferred Generative-Process Diversity Predicts Correlated Failure Across Language Models

Tieman, Ross et al.
arXiv (All) · Papers
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machine-learningmultiagent-systems
Diversity is a widely observed factor in the resilient function of collective systems, yet the type of diversity that matters depends on the properties and failure modes of the system. This distinction is important for systems composed of multiple language models. Different models may be treated as
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