# Augmenting interpretable models with large language models during training

Chandan Singh, Armin Askari, Rich Caruana, Jianfeng Gao. Nature Communications 14, 7913 (2023).

Aug-Tree uses language-model-generated expansions to construct interpretable text features for tree splits.

Contrasts training-time feature expansion with Tree Prompting’s language-model calls while traversing a tree.

[Original paper](https://www.nature.com/articles/s41467-023-43713-1)

## Citation

```bibtex
@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}
}
```