Augmenting interpretable models with large language models during training

方法与贡献

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。

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。

结合主题阅读

大语言模型决策树：从 Tree Prompting 到智能体分类 →

引用

Chandan Singh, Armin Askari, Rich Caruana, Jianfeng Gao. Augmenting interpretable models with large language models during training. Nature Communications 14, 7913.

@article{augtree,
  title = {{Augmenting interpretable models with large language models during training}},
  author = {Singh, Chandan and Askari, Armin and Caruana, Rich and Gao, Jianfeng},
  year = {2023},
  journal = {Nature Communications},
  url = {https://www.nature.com/articles/s41467-023-43713-1},
  volume = {14},
  number = {1},
  pages = {7913},
  doi = {10.1038/s41467-023-43713-1}
}