Source record

Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2609.17306.

Pipeline notes

The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.

Systematic evaluation of 8 model selection strategies for multi-agent systems across routing and majority-voting architectures on scientific benchmarks. Finds that expanding candidate pools often degrades performance below the best single model, and that single-family candidate selection yields the best relative gains over a standalone model.

Counters the assumption that heterogeneous model pools improve multi-agent systems. Systematic benchmark evidence on pool size, diversity, and family selection as concrete design levers.

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