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Random Rule Forest (RRF): Interpretable and Manageable Ensembles of LLM-Generated Questions for Predicting Success from Unstructured Data
用LLM生成问题构建可解释的随机规则森林，从非结构化数据中预测成功，兼顾性能与可管理性。
arXiv:2505.24622v3 Announce Type: replace Abstract: Many high-stakes screening tasks require predicting rare outcomes from unstructured text, where er…