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Sparsifying communication topologies in LLM multi-agent systems can lead to significant efficiency gains without sacrificing accuracy, challenging conventional design approaches.
Current LLM-driven theorem provers fall short in addressing the complexities of frontier mathematics, necessitating a shift towards research agents that can engage in rigorous mathematical exploration.
