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The paper introduces a subjectivity coefficient to address limitations in accuracy-based evaluation for LLM-based social simulation, proposes Subjectivity-Adaptive soft-Label Training (SALT) for optimization, and constructs the SubjSim benchmark to evaluate against full response distributions.