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#machine learning Preprint Sep 2026

Which Models Work Well Together? Measuring Heterogeneity for LLM Team Selection

The performance ceiling of an LLM team is constrained not only by individual model capabilities, but also by inter-member error resonance and predictive differences. Although heterogeneous teaming is often observed to be effective in practice, existing approaches lack complementarity metrics that are computable, interp...

Liang-Yu Teng, Heng-Song Liu, Jun-Cen Guo et al. · 0 citations

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