{
  "id": "aug-tree",
  "title": "Augmenting interpretable models with large language models during training",
  "authors": [
    {
      "given": "Chandan",
      "family": "Singh"
    },
    {
      "given": "Armin",
      "family": "Askari"
    },
    {
      "given": "Rich",
      "family": "Caruana"
    },
    {
      "given": "Jianfeng",
      "family": "Gao"
    }
  ],
  "year": 2023,
  "venue": "Nature Communications 14, 7913",
  "paper_url": "https://www.nature.com/articles/s41467-023-43713-1",
  "summary": "Aug-Tree 使用语言模型生成的扩展内容，为树的划分构造可解释文本特征。",
  "connection": "与 Tree Prompting 遍历树时调用语言模型的方式不同，它在训练阶段完成特征扩展。",
  "bibtex_type": "article",
  "citation_key": "augtree",
  "source_urls": [
    "https://www.nature.com/articles/s41467-023-43713-1"
  ],
  "first_public": "2022-09-23",
  "doi": "10.1038/s41467-023-43713-1",
  "container_title": "Nature Communications",
  "volume": "14",
  "issue": "1",
  "article_number": "7913",
  "updated_at": "2026-11-11",
  "description_language": "zh-Hans",
  "abstract_language": "en",
  "record_url": "https://yuntiandeng.com/research/zh/papers/aug-tree/"
}