用大模型自动生成食品领域分类体系，提升行业知识组织效率
FoodTaxo: Generating Food Taxonomies with Large Language Models
- 基于种子分类或概念集，迭代式提示生成完整食品分类
- 在5个真实食品分类上测试，大模型能有效扩展结构但节点定位不准
- 适合食品科技、数据标注及知识图谱构建者参考
我们研究大语言模型在自动化生成和补全分类体系方面的应用，聚焦食品科技领域的分类。通过近期提示技术，探索从种子分类或已知概念集出发，迭代生成完整分类的可行性。在五个食品分类上使用开源LLM（Llama-3）进行实验，结果表明方法具有潜力，但在正确放置内部节点方面仍存在困难。
原文摘要 · Abstract (English)
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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