arXiv Open Access 2025

FoodTaxo: Generating Food Taxonomies with Large Language Models

Pascal Wullschleger Majid Zarharan Donnacha Daly Marc Pouly Jennifer Foster

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Abstrak

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.

Topik & Kata Kunci

cs.CL cs.AI

Penulis (5)

Pascal Wullschleger

Majid Zarharan

Donnacha Daly

Marc Pouly

Jennifer Foster

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APA MLA BibTeX

Wullschleger, P., Zarharan, M., Daly, D., Pouly, M., Foster, J. (2025). FoodTaxo: Generating Food Taxonomies with Large Language Models. https://arxiv.org/abs/2505.19838

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Informasi Jurnal

Tahun Terbit: 2025
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓