Banger paper from NVIDIA. It's on the topic of choosing which models go into a multi-agent system. The team compared eight selection strategies, based on size, accuracy, answer diversity and error diversity, across routing, majority vote and LLM-as-judge setups on hard science benchmarks. Larger pools of different open models raised the theoretical best-case accuracy. Achieved accuracy often fell below the single best model in the pool. Using several copies of one model worked…