用共形预测校准LLM评估中的Elo排名，解决判分偏差与不可传递性问题。
arXiv:2606.13221v2 Announce Type: replace Abstract: Evaluating new large language models typically requires costly human annotation campaigns at scale…
从均值到分布：论文提出评估LLM复现人类调查结果的新方法，更精准衡量AI模拟真实人群的能力。
arXiv:2606.09013v1 Announce Type: new Abstract: LLMs are increasingly used to simulate human survey responses, but prior work has mainly evaluated rep…
纵向数据下多策略因果效应平滑估计，提升精度与可解释性，适合因果推断研究者。
arXiv:2605.14284v2 Announce Type: replace Abstract: Comparative evaluation of multiple dynamic treatment policies is essential for healthcare and poli…
大语言模型模拟实验只是观察性研究，干预错觉被无情拆穿
arXiv:2605.20767v1 Announce Type: cross Abstract: Large language models (LLMs) show potential as simulators of human behavior, offering a scalable way…
因果推断新方法：跨时间运输效应，助力时间序列分析更精准
arXiv:2603.07018v2 Announce Type: replace-cross Abstract: Treatment effects estimated from a randomized controlled trial are local not only to the stu…