MultiFiT: Efficient Multi-lingual Language Model Fine-tuning

Research article (Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), 2019) · cited 93× · AI/ML
Press Enter · cited answer in seconds

MultiFiT: Efficient Multi-lingual Language Model Fine-tuning

Summary

MultiFiT: Efficient Multi-lingual Language Model Fine-tuning is a scholarly article[1].

Key Facts

  • MultiFiT: Efficient Multi-lingual Language Model Fine-tuning's instance of is recorded as scholarly article[2].

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). MultiFiT: Efficient Multi-lingual Language Model Fine-tuning. Retrieved May 24, 2026, from https://4ort.xyz/entity/multifit-efficient-multi-lingual-language-model-fine-tuning
MLA “MultiFiT: Efficient Multi-lingual Language Model Fine-tuning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multifit-efficient-multi-lingual-language-model-fine-tuning.
BibTeX @misc{4ortxyz_multifit-efficient-multi-lingual-language-model-fine-tuning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{MultiFiT: Efficient Multi-lingual Language Model Fine-tuning}}, year = {2026}, url = {https://4ort.xyz/entity/multifit-efficient-multi-lingual-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): MultiFiT: Efficient Multi-lingual Language Model Fine-tuning — https://4ort.xyz/entity/multifit-efficient-multi-lingual-language-model-fine-tuning (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/multifit-efficient-multi-lingual-language-model-fine-tuning · Last refreshed: