Language Adaptation
Language Adaptation is a curriculum adaptation strategy involving the modification of linguistic elements in instructional materials and assessments to support comprehension and access for learners with diverse language proficiencies while maintaining alignment with academic content standards.
793
Publications
43.2K
Citations
2K
Authors
612
Institutions
Publications per year
2017–2026
280
793
LoRA: Low-Rank Adaptation of Large Language Models
J. Edward Hu, Yelong Shen, Phillip Wallis et al. · arXiv (Cornell University) · 2021 · 2.5K citations · Full text
Multi-Task Deep Neural Networks for Natural Language Understanding
Xiaodong Liu, Pengcheng He, Weizhu Chen et al. · 2019 · 1.1K citations · Full text
Parameter-efficient fine-tuning of large-scale pre-trained language models
Ning Ding, Yujia Qin, Guang Yang et al. · Nature Machine Intelligence · 2023 · 906 citations · Full text
1–5 of 793
2K
15
h-index
13
h-index
11
h-index
10
h-index
9
h-index
1–5 of 2K
612
Carnegie Mellon University
Pittsburgh, United States
18 h-index
68 publications
2.8K citations
University of Cambridge
Cambridge, United Kingdom
17 h-index
64 publications
3.7K citations
Microsoft (United States)
Redmond, United States
16 h-index
58 publications
6K citations

Johns Hopkins University
Baltimore, United States
16 h-index
40 publications
2.2K citations

University of Edinburgh
Edinburgh, United Kingdom
14 h-index
31 publications
2.2K citations
Google (United States)
Mountain View, United States
11 h-index
36 publications
2.6K citations
University of Washington
Seattle, United States
10 h-index
21 publications
683 citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
10 h-index
22 publications
3.5K citations
1–8 of 612
Repository · 38 publications · 3.7K citations
19
h-index
9 publications · 251 citations
9
h-index
8 publications · 525 citations
8
h-index
IJT · 6 publications · 293 citations
6
h-index
6 publications · 868 citations
6
h-index
1–5