Evaluating Large Language Models for Standard Names Generation in CF Conventions

This presentation was given at the CF Workshop 2025 (22–25 September 2025). It explores the use of Large Language Models (LLMs) to support the CF community in generating and managing standard names. The work evaluates two prototype tools: a generator that creates candidate CF standard names from textual descriptions, and a semantic search tool trained on CF vocabularies to suggest existing names matching a user’s description. The talk discusses potential benefits for improving consistency, scalability, and accessibility of the CF conventions, while also highlighting limitations and shortcomings found in the current standard name table that affect model performance. Future directions include improving training data quality, refining model precision, and transforming these prototypes into practical tools for the CF community.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-22
DOI
https://doi.org/10.5281/zenodo.17203173
Primary Topic
Plant Pathogenic Bacteria Studies
Type
article
Field-Weighted Citation Impact
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article

Evaluating Large Language Models for Standard Names Generation in CF Conventions

Zenodo (CERN European Organization for Nuclear Research)
Plant Pathogenic Bacteria Studies
article

Evaluating Large Language Models for Standard Names Generation in CF Conventions

article en

Abstract

This presentation was given at the CF Workshop 2025 (22–25 September 2025). It explores the use of Large Language Models (LLMs) to support the CF community in generating and managing standard names. The work evaluates two prototype tools: a generator that creates candidate CF standard names from textual descriptions, and a semantic search tool trained on CF vocabularies to suggest existing names matching a user’s description. The talk discusses potential benefits for improving consistency, scalability, and accessibility of the CF conventions, while also highlighting limitations and shortcomings found in the current standard name table that affect model performance. Future directions include improving training data quality, refining model precision, and transforming these prototypes into practical tools for the CF community.

Zenodo (CERN European Organization for Nuclear Research)
St Bartholomew's Hospital (GB), Universidad de Cantabria (ES), Consejo Superior de Investigaciones Científicas (ES), Unidades Centrales Científico-Técnicas (ES), Instituto de Física de Cantabria (ES), University of Reading (GB)
Quality Education
Openalex Percentile: Top 34%
Plant Pathogenic Bacteria Studies
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Evaluating Large Language Models for Standard Names Generation in CF Conventions · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS