English(EN) When Synthetic Users Fail: A Cross-Domain Benchmark of LLM-Simulated Human Survey Responses

当合成用户失败时：LLM模拟人类调查响应的跨域基准

作者 PulseAugur 编辑部 · [1 个来源] · 2026-07-30 04:00

一个新的基准框架， AI

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AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

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arXiv cs.CL TIER_1 English(EN) · Zihan Chen, Di Zhu, Lei Nico Zheng · 2026-07-30 04:00

当合成用户失效时：LLM模拟人类调查响应的跨领域基准测试

arXiv:2607.26348v1 Announce Type: new 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 is valid and when it fails, and…