NVIDIA intern paper challenges assumption that more model diversity helps multi-agent systems
xhluca · x · 2026-10-30
A paper from Sara Veramarjano's NVIDIA internship, "Mo' Models, Mo' Problems: How to best select model pools when designing Multi-Agent Systems," will be presented at the REALM workshop at EMNLP 2026.
The work challenges the intuition that adding more diverse models to a multi-agent system always improves performance, and studies how to best select model pools when designing such systems. Paper available on ACL Anthology.
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