牛哥精选 · 半年

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📝 深度技术 arXiv AI 2026-06-03

Conditional Hypothesis Generation for LLM-Based Text Analysis with Researcher-Specified Covariates

提出一种基于研究者指定协变量条件生成假设的新方法，提升大模型文本分析的可控性与准确性。

arXiv:2606.03029v1 Announce Type: cross Abstract: A core goal of computational social science is to discover interpretable differences in how language…

llm 文本分析假设生成协变量条件生成

📝 深度技术 arXiv 机器学习 2026-06-01

Modeling Covariate Transition for Efficient Estimation of Longitudinal Treatment Effects in Randomized Experiments

ICML'26接收，新方法通过协变量转移建模高效估计随机实验纵向治疗效果。

arXiv:2605.31443v1 Announce Type: cross Abstract: We present a regression-adjustment framework designed for the estimation of longitudinal treatment e…

因果推断纵向数据治疗效果协变量转移 icml'26

📅 日期

2026-05-20 2026-05-19

🐂 牛哥精选

Conditional Hypothesis Generation for LLM-Based Text Analysis with Researcher-Specified Covariates

Modeling Covariate Transition for Efficient Estimation of Longitudinal Treatment Effects in Randomized Experiments

📅 日期