---
id: 20260530-T0-09
title: "大模型智能体解决表型注释瓶颈"
title_en: "LLM agents overcome phenotype annotation bottleneck"
url: https://ai.daily.yangsir.net/daily/20260530-T0-09
issue_date: 2026-05-30
publish_date: 2026-05-29T04:00:00.000Z
category: research
source_name: "arXiv cs.AI"
source_url: https://arxiv.org/abs/2605.28965
---

# 大模型智能体解决表型注释瓶颈

前沿大模型智能体能克服表型注释的本体论构建瓶颈。该研究解决了将自由文本表型描述链接到本体术语这一耗时且依赖高度专业人员的过程，显著提高了跨研究形态数据整合效率。

## English Version

**LLM agents overcome phenotype annotation bottleneck**

Frontier LLM-based agents solve the ontology curation bottleneck for phenotype annotation, automating the labor-intensive process of linking free-text phenotype descriptions to ontology terms.

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**来源**：[arXiv cs.AI](https://arxiv.org/abs/2605.28965)

**详情页**：https://ai.daily.yangsir.net/daily/20260530-T0-09

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*智语观潮 · Daily — https://ai.daily.yangsir.net/llms.txt*