Sample Size Considerations for Fine-Tuning Large Language Models for Named Entity Recognition Tasks: Methodological Study
Summary
Sample Size Considerations for Fine-Tuning Large Language Models for Named Entity Recognition Tasks: Methodological Study is a scholarly article[1].
Key Facts
Sample Size Considerations for Fine-Tuning Large Language Models for Named Entity Recognition Tasks: Methodological Study's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Sample Size Considerations for Fine-Tuning Large Language Models for Named Entity Recognition Tasks: Methodological Study. Retrieved May 24, 2026, from https://4ort.xyz/entity/sample-size-considerations-for-fine-tuning-large-language-models-for-named-entity-recognition-tasks-methodological-study
MLA“Sample Size Considerations for Fine-Tuning Large Language Models for Named Entity Recognition Tasks: Methodological Study.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/sample-size-considerations-for-fine-tuning-large-language-models-for-named-entity-recognition-tasks-methodological-study.
BibTeX@misc{4ortxyz_sample-size-considerations-for-fine-tuning-large-language-models-for-named-entity-recognition-tasks-methodological-study_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Sample Size Considerations for Fine-Tuning Large Language Models for Named Entity Recognition Tasks: Methodological Study}}, year = {2026}, url = {https://4ort.xyz/entity/sample-size-considerations-for-fine-tuning-large-language-models-for-named-entity-recognition-tasks-methodological-study}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Sample Size Considerations for Fine-Tuning Large Language Models for Named Entity Recognition Tasks: Methodological Study — https://4ort.xyz/entity/sample-size-considerations-for-fine-tuning-large-language-models-for-named-entity-recognition-tasks-methodological-study (retrieved 2026-05-24)
