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An Overview of Low-Rank Structures in the Training and Adaptation of Large Models

An Overview of Low-Rank Structures in the Training and Adaptation of Large Models

25 March 2025
Laura Balzano
Tianjiao Ding
B. Haeffele
Soo Min Kwon
Qing Qu
Peng Wang
Ziyi Wang
Can Yaras
    OffRLAI4CE
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Papers citing "An Overview of Low-Rank Structures in the Training and Adaptation of Large Models"

2 / 2 papers shown
Title
Out-of-Distribution Generalization of In-Context Learning: A Low-Dimensional Subspace Perspective
Out-of-Distribution Generalization of In-Context Learning: A Low-Dimensional Subspace Perspective
Soo Min Kwon
Alec S. Xu
Can Yaras
Laura Balzano
Qing Qu
OOD
54
1
0
20 May 2025
AdaRankGrad: Adaptive Gradient-Rank and Moments for Memory-Efficient LLMs Training and Fine-Tuning
AdaRankGrad: Adaptive Gradient-Rank and Moments for Memory-Efficient LLMs Training and Fine-Tuning
Yehonathan Refael
Jonathan Svirsky
Boris Shustin
Wasim Huleihel
Ofir Lindenbaum
106
4
0
31 Dec 2024
1