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AgglutiFiT: Efficient Low-Resource Agglutinative Language Model Fine-Tuning

Research article (IEEE Access, 2020) · cited 26× · AI/ML
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AgglutiFiT: Efficient Low-Resource Agglutinative Language Model Fine-Tuning is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). AgglutiFiT: Efficient Low-Resource Agglutinative Language Model Fine-Tuning. Retrieved May 24, 2026, from https://4ort.xyz/entity/agglutifit-efficient-low-resource-agglutinative-language-model-fine-tuning
MLA “AgglutiFiT: Efficient Low-Resource Agglutinative Language Model Fine-Tuning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/agglutifit-efficient-low-resource-agglutinative-language-model-fine-tuning.
BibTeX @misc{4ortxyz_agglutifit-efficient-low-resource-agglutinative-language-model-fine-tuning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{AgglutiFiT: Efficient Low-Resource Agglutinative Language Model Fine-Tuning}}, year = {2026}, url = {https://4ort.xyz/entity/agglutifit-efficient-low-resource-agglutinative-language-model-fine-tuning}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): AgglutiFiT: Efficient Low-Resource Agglutinative Language Model Fine-Tuning — https://4ort.xyz/entity/agglutifit-efficient-low-resource-agglutinative-language-model-fine-tuning (retrieved 2026-05-24)

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