Using 85 controlled and 35 public LLMs, the authors show social-simulation accuracy generally improves with compute, but some behavioral and low-resource tasks do not scale.
Donald trumps in the virtual polls: Simulating and predicting public opinions in surveys using large language models.arXiv preprint arXiv:2411.01582,
3 Pith papers cite this work, alongside 1 external citations. Polarity classification is still indexing.
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Centralized matching mechanisms outperform free negotiation in stability and efficiency with LLM agents, who also report preferences truthfully more often than humans, though not always in line with strategy-proofness predictions.
LLM agents display limited alignment with human emotional responses to red tape across cultures, performing worse in Eastern contexts, while cultural prompting offers little improvement.
citing papers explorer
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Will Scaling Improve Social Simulation with LLMs?
Using 85 controlled and 35 public LLMs, the authors show social-simulation accuracy generally improves with compute, but some behavioral and low-resource tasks do not scale.
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Do Matching Mechanisms Work with LLM Agents?
Centralized matching mechanisms outperform free negotiation in stability and efficiency with LLM agents, who also report preferences truthfully more often than humans, though not always in line with strategy-proofness predictions.
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Cross-Cultural Simulation of Citizen Emotional Responses to Bureaucratic Red Tape Using LLM Agents
LLM agents display limited alignment with human emotional responses to red tape across cultures, performing worse in Eastern contexts, while cultural prompting offers little improvement.