When Synthetic Users Fail: A Cross-Domain Benchmark of LLM-Simulated Human Survey Responses.

arXiv:2607.26348v2 Announce Type: replace-cross Abstract: Large language models (LLMs) are increasingly used as synthetic users, stand-ins for human respondents whose simulated answers feed product, policy, and market decisions. We ask when this substitution i