PeriodicLoRA: Breaking the Low-Rank Bottleneck in LoRA Optimization

PeriodicLoRA: Breaking the Low-Rank Bottleneck in LoRA Optimization

25 February 2024

Zhe Yang

Peiyi Wang

Qingxiu Dong

Zhifang Sui

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Papers citing "PeriodicLoRA: Breaking the Low-Rank Bottleneck in LoRA Optimization"

18 / 18 papers shown

Title
DL-QAT: Weight-Decomposed Low-Rank Quantization-Aware Training for Large Language Models Wenjin Ke Zhe Li D. Li Lu Tian E. Barsoum MQ 75 2 0 12 Apr 2025
AdaRankGrad: Adaptive Gradient-Rank and Moments for Memory-Efficient LLMs Training and Fine-Tuning Yehonathan Refael Jonathan Svirsky Boris Shustin Wasim Huleihel Ofir Lindenbaum 83 4 0 31 Dec 2024
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies Liwen Wang Sheng Chen Linnan Jiang Shu Pan Runze Cai Sen Yang Fei Yang 140 5 0 24 Oct 2024
LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition Chengsong Huang Qian Liu Bill Yuchen Lin Tianyu Pang Chao Du Min Lin MoMe 99 211 0 25 Jul 2023
Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena Lianmin Zheng Wei-Lin Chiang Ying Sheng Siyuan Zhuang Zhanghao Wu ... Dacheng Li Eric Xing Haotong Zhang Joseph E. Gonzalez Ion Stoica ALM OSLM ELM 361 4,388 0 09 Jun 2023
Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor Or Honovich Thomas Scialom Omer Levy Timo Schick ALM 114 375 0 19 Dec 2022
DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation Mojtaba Valipour Mehdi Rezagholizadeh I. Kobyzev A. Ghodsi 83 177 0 14 Oct 2022
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks Yizhong Wang Swaroop Mishra Pegah Alipoormolabashi Yeganeh Kordi Amirreza Mirzaei ... Chitta Baral Yejin Choi Noah A. Smith Hannaneh Hajishirzi Daniel Khashabi ELM 123 846 0 16 Apr 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 877 12,973 0 04 Mar 2022
Training Verifiers to Solve Math Word Problems K. Cobbe V. Kosaraju Mohammad Bavarian Mark Chen Heewoo Jun ... Jerry Tworek Jacob Hilton Reiichiro Nakano Christopher Hesse John Schulman ReLM OffRL LRM 306 4,408 0 27 Oct 2021
Finetuned Language Models Are Zero-Shot Learners Jason W. Wei Maarten Bosma Vincent Zhao Kelvin Guu Adams Wei Yu Brian Lester Nan Du Andrew M. Dai Quoc V. Le ALM UQCV 206 3,750 0 03 Sep 2021
BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models Elad Ben-Zaken Shauli Ravfogel Yoav Goldberg 168 1,223 0 18 Jun 2021
LoRA: Low-Rank Adaptation of Large Language Models J. E. Hu Yelong Shen Phillip Wallis Zeyuan Allen-Zhu Yuanzhi Li Shean Wang Lu Wang Weizhu Chen OffRL AI4TS AI4CE ALM AIMat 477 10,367 0 17 Jun 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 579 4,047 0 18 Apr 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation Xiang Lisa Li Percy Liang 246 4,261 0 01 Jan 2021
Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning Armen Aghajanyan Luke Zettlemoyer Sonal Gupta 101 568 1 22 Dec 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 1.1K 7,182 0 20 Apr 2018
Decoupled Weight Decay Regularization I. Loshchilov Frank Hutter OffRL 146 2,142 0 14 Nov 2017