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Memory-efficient NLLB-200: Language-specific Expert Pruning of a Massively Multilingual Machine Translation Model
Research article (Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023) · cited 11× · AI/ML
Memory-efficient NLLB-200: Language-specific Expert Pruning of a Massively Multilingual Machine Translation Model
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Memory-efficient NLLB-200: Language-specific Expert Pruning of a Massively Multilingual Machine Translation Model is a scholarly article[1].
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APA4ort.xyz Knowledge Graph. (2026). Memory-efficient NLLB-200: Language-specific Expert Pruning of a Massively Multilingual Machine Translation Model. Retrieved May 24, 2026, from https://4ort.xyz/entity/memory-efficient-nllb-200-language-specific-expert-pruning-of-a-massively-multilingual-machine-translation-model
MLA“Memory-efficient NLLB-200: Language-specific Expert Pruning of a Massively Multilingual Machine Translation Model.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/memory-efficient-nllb-200-language-specific-expert-pruning-of-a-massively-multilingual-machine-translation-model.
BibTeX@misc{4ortxyz_memory-efficient-nllb-200-language-specific-expert-pruning-of-a-massively-multilingual-machine-translation-model_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Memory-efficient NLLB-200: Language-specific Expert Pruning of a Massively Multilingual Machine Translation Model}}, year = {2026}, url = {https://4ort.xyz/entity/memory-efficient-nllb-200-language-specific-expert-pruning-of-a-massively-multilingual-machine-translation-model}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Memory-efficient NLLB-200: Language-specific Expert Pruning of a Massively Multilingual Machine Translation Model — https://4ort.xyz/entity/memory-efficient-nllb-200-language-specific-expert-pruning-of-a-massively-multilingual-machine-translation-model (retrieved 2026-05-24)