FoodTaxo: Generating Food Taxonomies with Large Language Models

We investigate the utility of Large Language Models for automated taxonomy generation and completion specifically applied to taxonomies from the food technology industry. We explore the extent to which taxonomies can be completed from a seed taxonomy or generated without a seed from a set of known concepts, in an iterative fashion using recent prompting techniques. Experiments on five taxonomies using an open-source LLM (Llama-3), while promising, point to the difficulty of correctly placing inner nodes.

@article{wullschleger2025_2505.19838,
  title={ FoodTaxo: Generating Food Taxonomies with Large Language Models },
  author={ Pascal Wullschleger and Majid Zarharan and Donnacha Daly and Marc Pouly and Jennifer Foster },
  journal={arXiv preprint arXiv:2505.19838},
  year={ 2025 }
}