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该论文提出 CrossProfile 诊断基准，研究多智能体讨论压缩为记忆时的选择策略，发现按稀有性或相关性选择均会失败，且决策模型存在从众偏差，完整转录反而降低准确率。
This paper proposes Consilience, an inference-time orchestration framework for multi-agent LLM systems that provides conformally calibrated communication control to improve decision accuracy and efficiency in hidden-profile reasoning tasks.