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Adapt-and-Distill: Developing Small, Fast and Effective Pretrained Language Models for Domains

Research article (Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, 2021) · cited 22× · AI/ML
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Adapt-and-Distill: Developing Small, Fast and Effective Pretrained Language Models for Domains

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Adapt-and-Distill: Developing Small, Fast and Effective Pretrained Language Models for Domains is a scholarly article[1].

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  • Adapt-and-Distill: Developing Small, Fast and Effective Pretrained Language Models for Domains's instance of is recorded as scholarly article[2].

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Adapt-and-Distill: Developing Small, Fast and Effective Pretrained Language Models for Domains. Retrieved May 24, 2026, from https://4ort.xyz/entity/adapt-and-distill-developing-small-fast-and-effective-pretrained-language-models-for-domains
MLA “Adapt-and-Distill: Developing Small, Fast and Effective Pretrained Language Models for Domains.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/adapt-and-distill-developing-small-fast-and-effective-pretrained-language-models-for-domains.
BibTeX @misc{4ortxyz_adapt-and-distill-developing-small-fast-and-effective-pretrained-language-models-for-domains_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Adapt-and-Distill: Developing Small, Fast and Effective Pretrained Language Models for Domains}}, year = {2026}, url = {https://4ort.xyz/entity/adapt-and-distill-developing-small-fast-and-effective-pretrained-language-models-for-domains}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Adapt-and-Distill: Developing Small, Fast and Effective Pretrained Language Models for Domains — https://4ort.xyz/entity/adapt-and-distill-developing-small-fast-and-effective-pretrained-language-models-for-domains (retrieved 2026-05-24)

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