AI RESEARCH
Graph-Based Alternatives to LLMs for Human Simulation
arXiv CS.CL
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ArXi:2511.02135v2 Announce Type: replace Large language models (LLMs) have become a popular approach for simulating human behaviors, yet it remains unclear if LLMs are necessary for all simulation tasks. We study a broad family of close-ended simulation tasks, with applications from survey prediction to test-taking, and show that a graph neural network can match or surpass strong LLM-based methods. We