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Economic interactions among agents can spontaneously generate sophisticated reasoning strategies, outperforming traditional monolithic approaches.
Escaping the confines of autoregressive generation, Bidirectional Evolutionary Search unlocks significant performance gains by recombining partial trajectories and recursively decomposing tasks into checkable subgoals.
