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arXiv — cs.AI

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标题为英语Measuring Model-Specific Alignment Drift in LLM-Based Opinion Dynamics

arXiv:2611.03980v1 Announce Type: new Abstract: Large language model (LLM) agents are increasingly used as synthetic participants in opinion-dynamics experiments, often assuming that an agent's behaviour is fully determined by its prompt. We test this assumption with a framework…

arXiv — cs.AI作者: Nata\v{s}a Djurdjevac Conrad, Sebastian Pokutta, Christof Sch\"utte2026年11月4日 (2小时前)
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  • arXiv:2611.03980v1 Announce Type: new Abstract: Large language model (LLM) agents are increasingly used as synthetic participants in opinion-dynamics experiments, often assuming that an agent's behaviour is fully determined by its prompt
  • We test this assumption with a framework…
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Measuring Model-Specific Alignment Drift in LLM-Based Opinion Dynamics

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