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Multi-agent collaboration bottlenecks when agent personas stay rigid, but dynamic, test-time strategy transplantation across system prompts enables heterogeneous LLMs to collectively align on the most effective reasoning path.
PreLort ensures that low-rank clients can leverage the richer information from higher-rank clients, leading to significant improvements in model performance.