CALT codebase

The CALT codebase provides a template for generating arithmetic and symbolic computation instances and training Transformer models using the CALT (Computer ALgebra with Transformer) library.

While CALT can be installed via pip, the following is the simplest setup your experiment with all dependencies:

git clone https://github.com/HiroshiKERA/calt-codebase.git
cd calt-codebase
conda env create -f environment.yml 

The documentation of the CALT codebase provides a quickstart guide and tips for organizing your own projects. For detailed usage of the CALT library, please refer to the CALT documentation.

Citation

If you use this code in your research, please cite our paper:

@misc{kera2025calt,
  title={CALT: A Library for Computer Algebra with Transformer},
  author={Hiroshi Kera and Shun Arawaka and Yuta Sato},
  year={2025},
  archivePrefix={arXiv},
  eprint={2506.08600}
}

The following is a small list of such studies from our group.

• "Learning to Compute Gröbner Bases," Kera et al., 2024
• "Computational Algebra with Attention: Transformer Oracles for Border Basis Algorithms," Kera and Pelleriti et al., 2025
• "Geometric Generality of Transformer-Based Gröbner Basis Computation," Kambe et al., 2025

Refer to our paper "CALT: A Library for Computer Algebra with Transformer," Kera et al., 2025 for a comprehensive overview.