# ACT: Agentic Classification Tree

Vincent Grari, Tim Arni, Thibault Laugel, Sylvain Lamprier, James Zou, Marcin Detyniecki. arXiv:2509.26433 (2025).

Learns classification trees of natural-language binary questions through impurity-based split selection and TextGrad refinement.

A later agentic formulation of learning question-based decision trees; compare question optimization and tree construction.

[Original paper](https://arxiv.org/html/2509.26433v4)

## Citation

```bibtex
@misc{act,
  title = {{ACT: Agentic Classification Tree}},
  author = {Grari, Vincent and Arni, Tim and Laugel, Thibault and Lamprier, Sylvain and Zou, James and Detyniecki, Marcin},
  year = {2025},
  url = {https://arxiv.org/html/2509.26433v4},
  eprint = {2509.26433},
  archivePrefix = {arXiv}
}
```