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Sample Size Considerations for Fine-Tuning Large Language Models for Named Entity Recognition Tasks: Methodological Study

JMIR AI(2024)10.2196/52095Source: DataRank Database

Sample Size Considerations for Fine-Tuning Large Language Models for Named Entity Recognition Tasks: Methodological Study is a research paper published in JMIR AI (2024). On theSindex it has a DataRank of 0. It has been cited 27 times.

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Open Access27 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (4 grants)Impact (FWCI 7.50)OA: goldTopics (32)IDs (PubMed, PMC, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (8)

S. Scott Graham ORCID,Jade C Shiva Edward,Sabrina N Rodriguez,Martha Sue Karnes ORCID,Jared T. Jensen ORCID

Live enrichment

PubMed:38875593 PMC:PMC11140272 OpenAlex:https://openalex.org/W4396985403

NIGMS NIH HHS

Grant: R01 GM141476

NLM NIH HHS

Grant: R01 LM014306

National Science Foundation

Grant: 2019077

MRI: Acquisition of a High-Performance Computing System for Scientific Research and Education at NDSU

National Institutes of Health

Grant: 1R01GM141476-01

A Network Science Approach to Conflicts of Interest: Metrics, Policies, and Communication Design

FWCI

7.50

Citation Percentile

1.0%

Citation Trend

2024

2025

2026

goldLicense: cc-by

journalhttps://ai.jmir.org/2024/1/e52095/PDF

publisherhttps://ai.jmir.org/2024/1/e52095/PDF

publisherhttps://ai.jmir.org/2024/1/e52095

journalhttps://doi.org/10.2196/52095

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38875593

Fields of Study

Topic ModelingArtificial Intelligence in Healthcare and EducationMachine Learning in Healthcare0301 basic medicine03 medical and health sciences0302 clinical medicine

Keywords

Sample size determinationComputer scienceF1 scoreSample (material)SentenceArtificial intelligenceNatural language processingLanguage modelRegressionMachine learningStatisticsMathematicsSample sizeSampleDisclosureAnnotationConflict Of InterestTransfer LearningStatementFine-tuningDisclosuresExpert AnnotationStatementsNamed-entity RecognitionLarge Language ModelsOriginal Paper

Sustainable Development Goals

SDG 0: Quality Education