arxiv:2505.19838

FoodTaxo: Generating Food Taxonomies with Large Language Models

Published on May 26

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Abstract

Large Language Models are explored for generating and completing food technology industry taxonomies using iterative prompting techniques, showing promise but with challenges in accurately placing inner nodes.

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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.

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