Introduces OmniBehavior benchmark from real-world data and shows LLMs exhibit hyper-activity, persona homogenization, and utopian bias in behavior simulation.
Integrating llm in agent-based social simulation: Opportunities and challenges
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
SLALOM uses phase constraints called gates and dynamic time warping to quantitatively measure whether simulated social trajectories follow empirically plausible paths instead of just reaching correct end states.
citing papers explorer
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Towards Real-world Human Behavior Simulation: Benchmarking Large Language Models on Long-horizon, Cross-scenario, Heterogeneous Behavior Traces
Introduces OmniBehavior benchmark from real-world data and shows LLMs exhibit hyper-activity, persona homogenization, and utopian bias in behavior simulation.
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SLALOM: Simulation Lifecycle Analysis via Longitudinal Observation Metrics for Social Simulation
SLALOM uses phase constraints called gates and dynamic time warping to quantitatively measure whether simulated social trajectories follow empirically plausible paths instead of just reaching correct end states.