In a 42-task controlled comparison, selecting the best candidate with judge panels beats MoA-style synthesis in every task, and a crossover threshold explains when team diversity helps.
Barr, Roger Levy, Christoph Scheepers, and Harry J
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When Agents Disagree: The Selection Bottleneck in Multi-Agent LLM Pipelines
In a 42-task controlled comparison, selecting the best candidate with judge panels beats MoA-style synthesis in every task, and a crossover threshold explains when team diversity helps.