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simgrammar the grammar of simulation

locator

https://arxiv.org/abs/2411.10109

notes

Agents from two-hour interviews with 1,052 U.S. participants. The arXiv abstract as fetched (later version, retitled LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals) gives normalized GSS accuracy of 83% interview-only, 82% survey-only, 86% combined, 74% demographics-only; the Stanford HAI brief reports 85%. Reduced accuracy disparities across racial and ideological groups.

cited by

1 records

LLM models of individual human choice

provenance

runs in log/runs
2026-10-24
created2026-10-24-techniques-llm-agentstechnique