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arXiv — cs.AI

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标题为英语Socio-Foundation: A Model for Generalizable Individual Behavior Simulation via Hierarchical Capability Distillation

Simulating individual behavior requires large language models (LLMs) to preserve persona traits while adapting to dynamic social contexts. However, general-purpose LLMs often flatten distinct personas, while task-specific tuning suffers from fragmentation and generalization. To…

arXiv — cs.AI作者: Liang Wang, Wenxuan Xie, Xinyi Mou, Yixin Luo, Zhongyu Wei2026年10月8日 (10月8日)
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AI 摘要：要点

  • Simulating individual behavior requires large language models (LLMs) to preserve persona traits while adapting to dynamic social contexts
  • However, general-purpose LLMs often flatten distinct personas, while task-specific tuning suffers from fragmentation and generalization
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Socio-Foundation: A Model for Generalizable Individual Behavior Simulation via Hierarchical Capability Distillation

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